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1
Brantingham, P. Jeffrey. "A Neutral Model of Stone Raw Material Procurement." American Antiquity 68, no. 3 (2003): 487–509. http://dx.doi.org/10.2307/3557105.
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Stone tool assemblage variability is considered a reliable proxy measure of adaptive variability. Raw material richness, transport distances, and the character of transported technologies are thought to signal (1) variation in raw material selectivity based on material quality and abundance, (2) optimization of time and energy costs associated with procurement of stone from spatially dispersed sources, (3) planning depth that weaves raw material procurement forays into foraging activities, and (4) risk minimization that sees materials transported in quantities and forms that are energetically economical and least likely to fail. This paper dispenses with assumptions that raw material type and abundance play any role in the organization of mobility and raw material procurement strategies. Rather, a behaviorally neutral agent-based model is developed involving a forager engaged in a random walk within a uniform environment. Raw material procurement in the model is dependent only upon random encounters with stone sources and the amount of available space in the mobile toolkit. Simulated richness-sample size relationships, frequencies of raw material transfers as a function of distance from source, and both quantity-distance and reduction intensity-distance relationships are qualitatively similar to commonly observed archaeological patterns. In some archaeological cases it may be difficult to reject the neutral model. At best, failure to reject the neutral model may mean that intervening processes (e.g., depositional time-averaging) have erased high-frequency adaptive signals in the data. At worst, we may have to admit the possibility that Paleolithic behavioral adaptations were sometimes not responsive to differences between stone raw material types in the ways implied by current archaeological theory.
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Shabani-Naeeni, Fereshte, and R. Ghasemy Yaghin. "Incorporating data quality into a multi-product procurement planning under risk." Journal of Business & Industrial Marketing 36, no. 7 (2021): 1176–90. http://dx.doi.org/10.1108/jbim-02-2020-0108.
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Purpose In the data-driven era, the quality of the data exchanged between suppliers and buyer can enhance the buyer’s ability to appropriately cope with the risks and uncertainties associated with raw material purchasing. This paper aims to address the issue of supplier selection and purchasing planning considering the quality of data by benefiting from suppliers’ synergistic effects. Design/methodology/approach An approach is proposed to measure data visibility’s total value using a multi-stage algorithm. A multi-objective mathematical optimization model is then developed to determine the optimal integrated purchasing plan in a multi-product setting under risk. The model contemplates three essential objective functions, i.e. maximizing total data quality and quantity level, minimizing purchasing risks and minimizing total costs. Findings With emerging competitive areas, in the presence of industry 4.0, internet of things and big data, high data quality can improve the process of supply chain decision-making. This paper supports the managers for the procurement planning of modern organizations under risk and thus provides an in-depth understanding for the enterprises having the readiness for industry 4.0 transformation. Originality/value Various data quality attributes are comprehensively subjected to deeper analysis. An applicable procedure is proposed to determine the total value of data quality and quantity required for supplier selection. Besides, a novel multi-objective optimization model is developed to determine the purchasing plan under risk.
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Nafisah, Laila, Gigih Jono Prasetyo, Eko Nursubiyantoro, Mochammad Chaeron, Apriani Soepardi, and Sri Suharsih. "Multi objective optimization approach for multi-item inventory control: A case study in leather industry." OPSI 17, no. 1 (2024): 164. http://dx.doi.org/10.31315/opsi.v17i1.11106.
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PT ASA is a leather tanning company. Almost 65% of the company's assets are allocated for the procurement of raw leather, which consists of goat and sheepskin. In addition to being expensive, the availability of raw leather is also very limited. The company faces a trade-off where, on one hand, the raw material is easily decayed, but on the other hand, its availability is extremely limited, and if there is not enough inventory, the production process will be disrupted. In this research, a multi-objective optimization model is developed for controlling the inventory of raw leather using the Fuzzy Goal Programming approach. The objectives to be achieved are to minimize the total inventory cost, maximize the total quantity of raw leather that meets standards, and minimize the total cost of losses due to decayed raw leather. Based on the calculations, the fuzzy goal programming membership function value is obtained at 0.9155, with a total inventory cost over the planning horizon of IDR 10,341,630,000, a total of 1,279,542 sq ft of raw leather meeting standards, and a total loss cost due to decayed raw leather of IDR 142,911,691.
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Setiawan, Kenny, and Raden Achmad Djazuli. "Analisis Perancangan Suply Chain Management Pada PT. Magnesium Gosari Internasional." Jurnal Ekonomi Pertanian dan Agribisnis 2, no. 1 (2024): 7–14. https://doi.org/10.62379/jepag.v2i1.1823.
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Supply Chain Management plays a crucial part in the operations of a company's business organization. Through the implementation of supply chain management, industries can mitigate losses and subsequently increase their profitability. Companies can facilitate the collaboration of stakeholders involved in the conversion of raw resources into finished products. Consequently, the optimization of the production process and distribution of products/services generated by an industry can enhance operational efficiency. Supply chain management involves the identification of suppliers, strategic planning of logistics, and efficient delivery of goods and materials. The objective of this research is to assess the planning of supply chain management (SCM), investigate the process of supplier selection, and analyze logistics distribution. This study employs qualitative methodologies with a descriptive analytic framework that exclusively concentrates on the planning aspect of Supply Chain Management. The findings of this study indicate that the selection of suppliers in companies involves a collaborative effort among multiple agents who contribute essential materials for the production process and supply chain management (SCM). This collaboration encompasses various aspects, such as procurement procedures, data on multiple raw material suppliers, material handling at the warehouse, the production process, supplier distribution to the company, distribution to customers, and logistics transportation. The supply distribution follows a centralized approach, where approved supplies from the industrial warehouse are subsequently distributed to consumers through suppliers who are company partners responsible for distributing the finished products.
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SUTRISNO, Sutrisino, Widowati WIDOWATI, and Robertus Heri Soelistyo UTOMO. "Probabilistic Piecewise-Objective Optimization Model for Integrated Supplier Selection and Production Planning Problems Involving Discounts and Probabilistic Parameters: Single Period Case." Eurasia Proceedings of Science Technology Engineering and Mathematics 23 (October 16, 2023): 442–51. http://dx.doi.org/10.55549/epstem.1371794.
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In manufacturing and retail industries, supplier selection problems deal with allocating the optimal raw material amount that should be purchased to each supplier such that the procurement cost is minimal. Meanwhile, production planning problems deal with maximizing the product amount to be produced. Decision-makers need to take optimal decisions for those problem to gain the maximal revenue. In this paper, a novel mathematical model in the class of probabilistic piecewise programming is proposed as a decision-making support that can be used to find the optimal decision in solving both integrated supplier selection and production planning problems involving discounts and probabilistic parameters. The objective is to gain the optimal performance of the supply chain, i.e., maximizing the profit from the production activity. The model covers multi-raw material, multi-supplier, multi-product, and multi-buyer situations. Numerical experiments were conducted to evaluate the proposed model and to illustrate how the optimal decision is taken. Results showed that the proposed decision-making support successfully solved the problem and provided the optimal decision for the given problem. Therefore, the proposed model can be implemented by decision-makers/managers in industries.
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Widowati, Sutrisno, and Robertus Heri Soelistyo Utomo. "The Joint Decision-Making Support through Piecewise Objective Optimization Model for Integrated Supplier Selection, Inventory Management, and Production Planning Involving Discounts." JOIV : International Journal on Informatics Visualization 7, no. 1 (2023): 168. http://dx.doi.org/10.30630/joiv.7.1.1328.
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The decision-makers in manufacturing industries continuously optimize every supply-chain part to achieve optimal profit. In this paper, three crucial activities in the supply chain are observed as profit contributors: supplier selection, inventory management, and production planning. Decision-making support is needed to optimize those activities, especially when prices/costs involve discounts. Therefore, this study aims to develop integrated decision-making support for supplier selection, inventory management, and production planning involving discounted prices. The problem was considered with multi-supplier, multi-raw material, multi-product, and multi-observation time instant. The objective was based on maximizing the profit for the entire activity, i.e., from the raw material procurement and storage to the production. This supply chain was modeled as mixed-integer linear programming with a piecewise objective function representing the profit, which was maximized. It was also modeled with a bunch of constraint functions, including product demand satisfaction. The proposed model was tested with computational simulations using randomly generated supply chain data. The primal simplex algorithm was also employed to calculate the real value of the optimal decision, which was combined with the Branch-and-Bound approach to calculate the appropriate integer solution. The results showed that the optimal decision was achieved, namely (1) The optimal quantity of raw materials ordered to each supplier, (2) The optimal production quantity, and (3) The optimal inventory level, which provided the maximal profit for the whole optimization time horizon. This indicated that the proposed decision-making support model is implementable for industrial decision-makers.
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Lev, Mazelis, and Rogulin Rodion. "Devising a method for the formation of sustainable chains of supply of raw materials from mercantile exchange to a timber processing enterprise considering uncertainties and risks." Eastern-European Journal of Enterprise Technologies 5, no. 3 (113) (2021): 6–18. https://doi.org/10.15587/1729-4061.2021.242960.
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The relevant problem of guaranteed supply of high-quality raw materials to a timber processing enterprise that does not have its own sources of raw materials is considered. A method for the formation of sustainable chains of supplying raw materials to a timber processing enterprise was proposed, taking into consideration uncertainties and risks associated with the purchase of raw materials on the mercantile exchange and the implementation of the circuit of delivery to a warehouse. A dynamic model, which is a problem of stochastic nonlinear programming, the objective function of which is the cost of purchasing raw materials, was developed. The model makes it possible to form a plan for purchasing raw materials on the timber section of the mercantile exchange on a given planning horizon, taking into consideration uncertainties when it comes to the number of daily offers, their volumes, and prices. The risk of cancellation of the concluded contract due to the loss of the quality of raw materials during delivery and non-fulfillment of delivery terms was also taken into consideration. To find a solution to the model, a two-stage circuit, in which the first stage involves a procurement plan that is close to optimal, was proposed. At the second stage, a plan that is closest to the basic one in terms of the volume of purchased raw materials and minimizing the total costs is chosen for each day of implementation of a random flow of applications. The numerical solution at the first stage is found using the heuristic algorithm that uses the branch and bound method and the genetic algorithm at certain steps. At the second stage, the multi-criteria problem of mathematical programming is solved numerically. An example of the formation by a timber processing enterprise in the Far East of a suboptimal procurement plan that ensures an increase in the efficiency and sustainability of economic activity in the long term is considered
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Semenenko, Yurii. "The role of tender systems in agricultural enterprise activities." Economic Analysis, no. 34(1) (2024): 96–104. http://dx.doi.org/10.35774/econa2024.01.096.
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The study of the role of tender systems in the activities of agricultural enterprises intersects two key areas of interest: economics and agriculture. This important research helps understand how agricultural enterprises conduct procurement, which is a vital aspect of their operations. Understanding the processes of tender procurement will shed light on the factors influencing supplier selection, cost optimization, and how to improve the competitiveness of agricultural enterprises. From a practical perspective, such research provides an opportunity to enhance procurement management processes in the agricultural sector. It can contribute to the development of effective strategies and tools aimed at ensuring the quality of products and services at optimal prices. Additionally, studying tender systems allows for identifying challenges in the procurement process and seeking ways to address them. Research Objective: The aim of the study is to analyze the impact of software tools for conducting tender procurements on the activities of agricultural enterprises. Research Methods: The research is based on a comprehensive approach, utilizing both quantitative and qualitative analysis methods, including statistical analysis and systems analysis methods to analyze the interrelationships between different types of tender systems. Results: The results of the study on the role of tender systems in the activities of agricultural enterprises indicate their significance and wide-ranging impact on business. Various types of procurement, including the procurement of raw materials, equipment, services, and other resources used in agriculture, have been thoroughly examined. It has been found that the diversity of tender procedures enables agricultural enterprises to effectively select suppliers and optimize procurement costs. Additionally, the study examines a software model aimed at automating the processes of managing tender procurements for agricultural enterprises. This software tool assists enterprises in effectively managing all stages of tender procedures, including planning, document preparation, proposal evaluation, contract management, and reporting. The mentioned software model takes into account the specificity of agriculture and the needs of agricultural enterprises, providing them with an effective tool for managing tender procedures. This allows enterprises to make the procurement process more transparent, efficient, and compliant with modern management standards. Such an approach contributes to enhancing the competitiveness of agricultural enterprises and their stable development in the contemporary market environment.
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Larysa, Koriashkina, and Lubenets Danylo. "Systems analysis and mathematical modeling of partially two-stage processes of material flow distribution." System technologies 1, no. 150 (2024): 86–99. http://dx.doi.org/10.34185/1562-9945-1-150-2024-08.
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The partially two-stage process of material flow distribution in a logistics system is considered, which consists of enterprises that produce certain products and sell them directly to consumers or through distribution centers. It is assumed that the demand for products is continuously distributed throughout the territory of a certain region. The purpose of the work is to reduce transportation and organizational costs associated with the sale and storage of finished products for a network of production enterprises by developing models and methods of optimization tasks that allow determining the quantity, capacity, and coordinates of distri-bution centers and organizing logistics processes, rationally distributing transportation and material flows among all participants in the logistics process. The relevance of the work is due to the creation of territorially distributed multilevel companies that carry out the entire production cycle from raw material procurement with its comprehensive use, production of products to transportation to end consumers through distribution centers. The mathematical support of the formulated placement-distribution tasks is developed using the basic provisions of the theory of continuous problems of optimal subset division with the placement of subset centers, duality theory, linear programming methods of the transport type, modern algorithms of non-differentiable optimization. The presented models and algorithms allow solving a whole range of strategic planning problems that arise in the production, social, and economic spheres of activity.
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Rogulin, Rodion Sergeevich, та Lev Solomonovich Mazelis. "Algorithm and mathematical model of supply chain management for raw wood from the regions in Russia: Сomparison and analysis". Вестник Пермского университета. Серия «Экономика» = Perm University Herald. ECONOMY 15, № 3 (2020): 385–404. http://dx.doi.org/10.17072/1994-9960-2020-3-385-404.
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Supply chain management is a burning issue for modern industrial enterprises. To handle this issue, non-linear stochastic models are successfully applied to find the reasonable and efficient solutions. A need to develop a unique method to find the solutions to supply chain management tasks defined as stochastic mixed-integer non-linear programming tasks is determined by the limitations imposed by the general models. The sum of the total raw procurement costs from the Commodity Exchange over the defined planning horizon is taken to be the target function of the unique model, while the binary variables which show whether a purchasing order is included into the procurement plan are used for optimization purposes. Some parameters of model’s limitations are stochastic and consider the uncertainty factor and risks in supplying the required raw materials to the manufacturing site. Branch-and-bound and genetic algorithms are applied at some steps in the developed heuristic algorithm. The algorithm and the model are tested at a major timber processing enterprise in Primorsky Area. Four types of processors over three planning horizons were applied to compare the efficiency of the proposed algorithm with partial application of the genetic algorithm or branch-and-bound method. The findings analysis shows that, unlike the genetic algorithm, the unique one is more stable in terms of uncertainty of the input parameters in comparison with the branch-and-bound method. It provides the solutions in the models with a great number of variables. The algorithm is shown to be universal enough for its further modification in solving more complicated problems of the same class, containing a significantly larger number of probabilistic parameters that describe other uncertainties in the supply of raw materials. Further research is seen to include the development of the proposed algorithm to increase the rate of convergence for its better efficiency.
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Ren, Yangjun, Qiong Chen, Yui-yip Lau, et al. "An Improved Migratory Birds Optimization Algorithm for Closed- Loop Supply Chain Network Planning in a Fuzzy Environment." PLOS ONE 19, no. 6 (2024): e0306294. http://dx.doi.org/10.1371/journal.pone.0306294.
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Recycling of used products can provide substantial economic and environmental benefits for supply chain players. However, many factors associated with the design of closed-loop supply chain networks are uncertain in their nature, including demand, opening cost of facilities, capacity of opened facilities, transportation cost, and procurement cost. Therefore, this study proposes a novel fuzzy programming model for closed-loop supply chain network design, which directly relies on the fuzzy ranking method based on a credibility measure. The objective of the presented optimization model aims at minimizing the total cost of the network when selecting the facility locations and transportation routes between the nodes of the network. Based on the problem characteristics, a Migratory Birds Optimization Algorithm with a new product source encoding scheme is developed as a solution approach. The inspiration for the product source coding method originates from the label information of raw material supplier and manufacturing factories on product packaging, as well as the information of each logistics node on the delivery order. This novel encoding method aims to address the limitations of four traditional encoding methods: Prüfer number based encoding, spanning tree based encoding, forest data structure based encoding, and priority based encoding, thereby increasing the likelihood of heuristic algorithms finding the optimal solution. Thirty-five illustrative examples are developed to evaluate the proposed algorithm against the exact optimization method (LINGO) and a Genetic Algorithm, Ant Colony Optimization, Simulated Annealing, which are recognized as well-known metaheuristic algorithms. The results from extensive experiments show that the proposed algorithm is able to provide optimal and good-quality solutions within acceptable computational time even for large-scale numerical examples. The suitability of the model is confirmed through a meticulous sensitivity analysis. This analysis involves adjusting the confidence level incrementally from 50% to 100%, in 5% intervals, with respect to the model’s uncertain parameters. Consequently, it yields valuable managerial insights. The outcomes of this research are expected to provide scientific support for related supply chain enterprises and stakeholders.
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Quan, Bingtao, Sujian Li, and Kuo-Jui Wu. "Optimizing the Vehicle Scheduling Problem for Just-in-Time Delivery Considering Carbon Emissions and Atmospheric Particulate Matter." Sustainability 14, no. 10 (2022): 6181. http://dx.doi.org/10.3390/su14106181.
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The coordinated development of companies and ecological protection are possible only with increasing environmental awareness. Therefore, this study aims to investigate how companies can achieve sustainable development. It is found that the scientific implementation of the vehicle scheduling problem (VSP) for just-in-time (JIT) delivery in the raw material procurement logistics of iron and steel companies can reduce the carbon emissions in the VSP process and, taking into account the negative correlation between weather conditions and PM10, can effectively reduce PM10. On this basis, a multiobjective optimization model is constructed with the objectives of minimizing carbon emissions and PM10 along with the traditional objective of cost optimization. A greedy algorithm with high computational efficiency and an embedded genetic algorithm (GA) is used to further improve the response time of the VSP. Verification shows that in practice, the model enables companies to effectively reduce not only logistics costs but also PM10 and carbon emissions; in theory, the model expands the applicability of JIT to all value-added activities, exploring all value-added activities in different spatial and temporal dimensions to achieve the optimal combination of company cost, environmental effects, and weather dimensions.
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Dubinina, Maryna. "Accounting of Purchasing Activities in the Chain of Economic Processes." Modern Economics 38, no. 1 (2023): 194–99. http://dx.doi.org/10.31521/modecon.v38(2023)-29.
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Abstract. Introduction. Ensuring the effective functioning of a modern enterprise is largely determined by the procurement process, which significantly affects the stability, efficiency and competitiveness of the enterprise. Purpose. The purpose of this study is to determine the key features of the supply process and its goals in the chain of circulation of economic assets, as well as to characterize the accounting component of the supply activity. Results. The supply process, in addition to the actual purchase of values, includes all interrelated activities necessary for the organization to receive goods and services from suppliers: the selection of suppliers, negotiations and agreement of terms with them, transportation and forwarding of goods and material values, receiving, warehousing and cargo processing goods Thus, it can be said that there is no coherent and unified opinion on the definition of the terms "supply", "purchase" and "supply" today, and they are perceived in practical activity as interchangeable. Implementation of supply activities can be considered in two aspects - tactical and strategic. Supply in the tactical aspect is the satisfaction of the company's constant, daily needs for material resources, without which its effective functioning is impossible. The strategic aspect of supply activities is actually the process of management, communication and interaction with other departments, external suppliers, needs and requests of the end user. Accounting for supply costs is reduced to an important, but only effective part of the supply process - the assessment of material stocks at original cost (the actual cost of acquisition or own production). Material costs are one of the main economic elements of the enterprise's costs for the production and sale of products, they include the cost of purchased raw materials and materials that are part of the manufactured product, forming its basis, or are a necessary component in the production of products (conducting works, providing services ). The integration of production and procurement activities begins long before the production process itself. At the same time, the initiative side is the production system, the basis of which is data on product sales. However, the production process cannot proceed normally if it is not preceded by a well-established process of preparing production stocks. Reserves refer to objects that require fairly large investments and are one of the most important factors in ensuring stability and continuity of reproduction, which determine the company's policy and affect the level of service as a whole. Production units receive information about the availability of the necessary amount of materials for production. In the chain of creation of the value of material costs at the stage of production, deficiencies and losses arising as a result of procurement and supply activities may be detected. For example, if high production losses were caused by the purchase of the wrong material by the supply department, then the amount of these losses should be attributed to the costs of the responsibility centre of the supply department in terms of quantity and value. Production divisions complete the material and value flows of purchasing and supply activities. At this stage, the physical consumption of materials is carried out according to the value formed as a result of the material and technical supply process. Conclusions. Logistics costs significantly affect the profitability of the city's enterprise and its finished products. Therefore, the clear structuring of logistics costs can contribute to the optimization of purchasing activities in the production of industrial equipment, as well as the coordination and integration of certain types of logistics costs that are hidden and do not have a clear method of accounting and measurement. In general, it can be said that the implementation of successful and effective procurement activities at a manufacturing enterprise must be approached systematically and comprehensively, organically integrating all the main functions of procurement logistics (planning, organization, motivation) into all internal business processes of the enterprise, providing this activity with the necessary resources, information and managerial influence.
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Patel, Meet, Uday Venkatadri, Claver Diallo, Ahsan Habib, and Amirsalar Malekahmadi. "An Adaptive Sequential Decision-Making Approach for Perishable Food Procurement, Storage and Distribution Using Hyperconnected Logistics." Sustainability 16, no. 1 (2023): 98. http://dx.doi.org/10.3390/su16010098.
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The fast-food industry currently relies on frozen ingredients to reduce the cost of procurement of raw materials. In recent years, consumers have started to curb their habit of eating out from fast-food chain restaurants due to the growing concerns for unhealthy menu choices made primarily from highly processed and/or frozen food ingredients. To address these issues, some organizations in the fast-food industry have started to offer menus with fresh unfrozen ingredients sourced locally or regionally. This paper addresses the problem of integrating sourcing, storage, and distribution strategies for a fast-food restaurant chain at the regional level. We present an adaptive sequential optimization decision-making approach for procurement, storage, and distribution of perishable food products to multi-unit restaurants at the regional level. This solution approach uses shelf-life considerations in developing a procurement and distribution strategy for fresh produce in the era of hyperconnected logistics. Three models are developed using Mixed Integer Linear Programming (MILP). First, a procurement model is developed to find the cost-effective supplier for each produce category based on shelf life. Then, a distribution model is developed to find the cost-optimal solution for distributing produce to multiple restaurant locations considering weight, volume, and operation hours. Finally, an integrated model is developed to optimally combine procurement and distribution options generated by the first two models to minimize costs while respecting total shelf-life constraints. Numerical experiments based on realistic data are carried out to show that the proposed sequential approach yields valid decisions and presents the effects of price, shelf-life, and demand changes on the supply chain.
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Alaoua, Aicha, and Mohammed Karim. "A Novel Approach Based on IoT and Log-Normal Distribution for Supplier Lead Time Optimization in Smart Engineer-to-Order Supply Chains." Logistics 9, no. 3 (2025): 82. https://doi.org/10.3390/logistics9030082.
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Background: In Engineer-to-Order (EtO) supply chains, managing supplier lead times is particularly challenging due to high customization and intensive customer involvement. This study addresses the critical need for more accurate and dynamic lead time prediction to enhance supply chain resilience and efficiency in EtO environments. Methods: We propose a novel approach that integrates Internet of Things (IoT) technologies with statistical modeling using the log-normal distribution to model and optimize supplier lead times, especially for customized raw materials. The model incorporates real-time data from IoT-enabled suppliers and considers long-term contractual relationships to reduce variability. Monte Carlo simulation is employed to validate the model’s predictive capabilities. Results: The results demonstrate significant improvements in predicting supplier performance and reducing uncertainty. Simulation outputs reveal reductions in lead times and enhanced reliability. Statistical metrics such as the Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) confirm the robustness and accuracy of the predictions. Conclusions: The proposed methodology supports better decision-making in supplier selection and procurement planning by enabling effective risk management. It contributes to improved performance and greater resilience in Engineer-to-Order supply chains.
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Nikoliuk, Olena, Tetiana Savchenko, Volodymyr Lagodiienko, and Nataliia Lagodiienko. "Modern models of innovative management of bakery enterprises." Actual problems of innovative economy and law 2024, no. 6 (2024): 32–37. https://doi.org/10.36887/2524-0455-2024-6-6.
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The article explores the latest approaches to the organization and optimization of the management of enterprises in the industry, aimed at increasing their competitiveness and sustainability in the context of global economic and technological changes. The authors emphasize that the bakery industry is one of the essential parts of the country’s food security system. Therefore, its development requires innovative approaches that consider both production specifics and market environment trends. One of the key aspects of the article is the analysis of the need to introduce modern digital technologies capable of transforming all stages of enterprise management – from the procurement of raw materials and planning of production processes to the sale of finished products and marketing activities. The authors justify that modern management models should be based on adaptability, flexibility, and orientation to consumer needs. The article emphasizes that the bakery industry faces several challenges: remarkably increasing competition, changes in consumer preferences, globalization of markets, and increased environmental requirements. In this context, innovations play an important role in developing new product types, improving quality, reducing production costs, and complying with sustainable development standards. As a result of the study, the authors propose a comprehensive model of innovation management, which includes five key components: technological, responsible for the implementation of modern production technologies; personnel, focused on improving employee skills; marketing, which ensures the adaptation of products to market needs; logistics, aimed at optimizing supplies and distribution; and environmental, which guarantees compliance with the requirements of sustainable development. The proposed model allows for solving such strategic tasks as increasing the efficiency of production processes, optimizing costs, increasing income, and increasing consumer satisfaction. Particular attention is paid to the fact that the successful implementation of innovation strategies depends on the harmonious interaction of all components of the model and a systematic approach to their implementation. Keywords: innovation management, bakery industry, digital technologies, production automation, sustainable development, competitiveness, adaptability, cost optimization, innovative models, resource management.
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Dong, Yan. "Optimization and Analysis of Raw Material Supply Chain Based on Computational Intelligence." Mobile Information Systems 2022 (August 10, 2022): 1–9. http://dx.doi.org/10.1155/2022/8683598.
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With the rapid economic growth and increasingly fierce market competition, the traditional manufacturing advantages have become a thing of the past. There are problems such as inaccurate procurement plans, large quantities of inventory sold out, chaotic procurement processes, and unclear inventory policies. Optimizing the procurement of basic raw materials will help reduce raw material costs. This paper analyzes some raw material supply chain processes through the Delphi method, Plato principle, and trend-adjusted exponential smoothing method and finds that the important factors for improving raw material supply include economic and technological environment, the realization of purchasing department functions, price stability, technical level, system management awareness, product qualification rate, quality inspection and testing, and problem handling timeliness. Financial situation, procurement efficiency, and cooperation compatibility are important factors for improving the supply of raw materials. By using key indicators to select strategic suppliers and computational intelligence to obtain the forecast value of raw material supply, the forecast error rate is within 9%, indicating that the forecast data are reliable and can be used as an auxiliary tool for raw material supply, thereby reducing risks. Under the corresponding conditions, the waste of raw materials can be reduced and the raw materials can be stored more reasonably. Using the Delphi method, Plato principle, and trend adjustment exponential smoothing method to analyze part of the raw material supply chain process brings benefits to the enterprise and finally achieves the standardization of the procurement process, the optimization of supplier groups, the sharing of procurement information, the supervision of procurement process, the reduction of purchasing costs, improvement of procurement intelligence, division of labor and performance assessment, and achievement of a win-win situation with suppliers.
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Tovarianskyi, V., A. Renkas, and D. Rudenko. "IMPROVING OF PROCESSES OF TRANSPORT AND LOGISTICS ACTIVITY BY APPLYING ELECTRIC VEHICLES IN SUPPLY CHAIN MANAGEMENT." Bulletin of Lviv State University of Life Safety 24 (January 11, 2022): 116–22. http://dx.doi.org/10.32447/20784643.24.2021.15.
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Formulation of the problem. Within the functional areas of logistics, operations and functions related to purchasing, production and sales are carried out. Moving raw materials, semi-finished products and finished products are possible in the case of the use of vehicles, which adequately reflects the practical importance of the concept of transport and logistics activities. Therefore, to achieve optimization of logistics functions and operations, and, as a consequence, the goals of logistics, an important aspect is the choice of modern vehicles for the transportation of goods. Vehicle operations usually represent the largest total logistics cost due to the purchase of fuel and lubricants, proper organization of vehicle service, including the timely and comprehensive performance of all types of maintenance. In this regard, the concept of introducing electric vehicles is rapidly developing in the world, changing the idea of possibilities of an electric car not only as an individual vehicle for transportation but also as a transport, acquires relevance in the field of logistics and freight transport. The purpose of the work is to analyse the current state of the electric vehicle industry in the world and Ukraine. As well as to substantiate ways to optimize the use of electrically powered vehicles in supply chain management, depending on their technical characteristics.Results. Samples of electric vehicles produced in the EU and the USA are shown. The possibility of using electric vehicles as the main vehicles is considered, provided that their dispersion in the middle of the supply chain is taken into account. A scheme for the use of electric vehicles in the supply chain management process is proposed, which covers the dispersion of electric vehicles following the functional areas of logistics. The proposed scheme for the use of electric vehicles in the supply chain management process, taking into account the functional areas of logistics, has established that it is most expedient to use electric vehicles with a carrying capacity of 1,75−36 tons at the stages of procurement and production, and additionally with a carrying capacity of up to 1,75 tons to distribution points. Electric vehicles with a carrying capacity of up to 700 kg can be effectively used to provide services and technical support in the process of supply chain management. The scientific novelty of the research is that, for the first time, using the "Model of one vehicle on the route", the dependence of the stay time of electric vehicles Renault Kangoo Z.E., Volkswagen e-Crafter and Tesla Semi in the operating conditions of the route, on the distance of transportation was obtained.
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Jayanti, Rosi, Dwi Haryono, and Sumaryo Gitosaputro. "ANALISIS MANAJEMEN PRODUKSI TEPUNG TAPIOKA DI PT GUNUNG SUGIH KABUPATEN LAMPUNG TENGAH." Jurnal Ilmu-Ilmu Agribisnis 8, no. 2 (2021): 294. http://dx.doi.org/10.23960/jiia.v9i2.5102.
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This research aims to study the flow of tapioca agro-industry raw material procurement and how to manage tapioca flour agro-industry raw material procurement. This study uses a case study method at PT Gunung Sugih. Research respondents are owners and agro-industry companies and suppliers of agro-industrial raw materials selected by the candidates. Data analysis methods used are descriptive qualitative (raw material procurement planning and management applications) and quantitative descriptive (income analysis). The results showed that the five of the six components of raw material procurement were correct, except the inventory component, PT Gunung Sugih had approved the management function in all agro-industry activities. The agroindustry could be considered profitable because the results of the analysis of the income statement of the agro-industry gained a net profit of IDR8,190,800,833. Key words: agro-industry, cassava, profit, raw material
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Widiaswanti, Ernaning, Issa Dyah Utami, and Yendhy Pradiqta Tri Mariyanto Utomo. "Designing a system dynamics model for optimizing shrimp raw material supply in shrimp crackers production." BIO Web of Conferences 146 (2024): 01034. http://dx.doi.org/10.1051/bioconf/202414601034.
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Shrimp is a key raw material in shrimp crackers production. The competitive snack food industry leads to fluctuating demand for shrimp crackers, impacting the supply chain. Demand uncertainty often causes mismatches between the supply of shrimp raw materials and actual needs. Excess raw materials can lead to spoilage due to prolonged storage. The method used to design the raw material procurement model is a dynamic system with the consideration that the model is non-linear and dynamic. This study aims to develop a system dynamics model for shrimp raw material procurement to optimize stock management and reduce spoilage from excessive storage. The system dynamics model determined optimal procurement quantities, with an R value of 60 kg and a Q value of 360 kg, resulting in a reduced storage time of one day. The results of this research can contribute to planning the shrimp raw material supply system for shrimp cracker SMEs.
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Mohammad Palah, Johan, and Fenni Agustina. "Analisis Metode Multi Objective Optimization On The Basis Ratio Analysis pada Pengadaan Bahan Baku Kosmetika PT. Zoey Cosmedica Putra." ETNIK: Jurnal Ekonomi dan Teknik 1, no. 9 (2022): 629–39. http://dx.doi.org/10.54543/etnik.v1i9.105.
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Supervision, procurement and maintenance of good raw materials are really needed to increase production potential and production costs. PT. Zoey Cosmedica Putra is a cosmetic tolling company, which is a business collaboration between individuals/companies and cosmetic manufacturers who have permits in the manufacture of cosmetic products. PT. Zoey Cosmedica Putra procures raw materials only based on last month's stock availability without taking other factors into account. Therefore, it is necessary to take into account those who are able to provide alternative value to PT. Zoey Cosmedica Putra in determining the maximum procurement of raw materials in order to obtain minimal profits, risks and expenses. The use of the Multi Objective Optimization Method based on Ratio Analysis (MOORA) is a solution related to the needs of PT. Zoey Cosmedica Putra in determining the procurement of raw materials by providing a priority rating of each raw material with criteria, determination of criteria and weights that adjust to the company's needs, namely expiration, inventory, raw material prices, intensity of use, and delivery from producers where each criterion has its own set. -each -each. This calculation is to support decisions in procuring raw materials. with an accuracy rate of 76 percent.
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Sri, Dewi. "RAW MATERIAL INVENTORY PLANNING OF PATIENT MENU USING MATERIAL REQUIREMENT PLANNING (MRP) IN RSIA KENDANGSARI MERR SURABAYA." Jurnal Ekonomi dan Bisnis Airlangga 31, no. 1 (2021): 14. http://dx.doi.org/10.20473/jeba.v31i12021.14-27.
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Introduction: Material Requirement Planning (MRP) is a technique or a logical procedure to translate the Master Production Schedule (MPS) of the finished goods or end item into the net requirements for some of the components needed to implement the MPS. MRP is used to determine the amount of material needs to support the Master Production Schedule and when the material needs to be scheduled.Methods: The study is conducted on 13 August 2018 until 12 September 2018 at the installation Nutrition RSIA Kendangsari Merr Surabaya. Collecting data in this study using several methods, including: observation- This stage is conducted in all parts related to the object of study, starting from the Purchase Order (PO) by a head cook up to raw material stored in the storage, discussion- author interviews and collects data to communicate and discuss with the respondents. Respondents in this study are the head of the nutrition unit and head cook of RSIA who have the authority doing the purchasing.Results: Planning of procurement of raw materials to the menu rawon in RSIA can use the Exponential Smoothing method. The discussion has compared two methods of forecasting and the results are consistent with the demand’s patterns of Simple Moving Average method, Exponential Smothing. Forecasting has the lowest error rate by using Exponential Smoothing. The second conclusion is a technique of determining the appropriate Material Requirement Planning in raw material procurement to menu rawon in RSIA is using Lot for Lot.
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Yosviansyah, Muhammad Naufal, and Yusmet Rizal. "OPTIMASI PERSEDIAAN BAHAN BAKU DAN PRODUKSI USAHA GANEPO PUTRI YOSE DENGAN MENGGUNAKAN ALGORITMA GREY WOLF OPTIMIZER." MATHunesa: Jurnal Ilmiah Matematika 12, no. 1 (2024): 94–100. http://dx.doi.org/10.26740/mathunesa.v12n1.p94-100.
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Putri Yose's Ganepo business, located in Padang Kandi seven koto talago, is one of the Rubik Ganepo producers that has grown to be one of the main suppliers in the Bukittingi and Riau areas. Interviews with the business owner revealed problems in inventory management that affect the profitability of this business. This study aims to assess and improve inventory management with a focus on raw material procurement and production cycle time. The model used in this study is Integrated Procurement Production (IPP) with the Grey Wolf Optimizer (GWO) optimization algorithm to determine the decision variables, namely the frequency of raw material procurement and production cycle time. GWO algorithm is chosen because it is a metaheuristic optimization method that is able to overcome real-world problems, avoid stagnation in solutions of local, and has a wide search space. The results showed that the IPP model with GWO was able to provide a new inventory policy, including the optimal procurement quantities of salt, cooking oil, garlic, turmeric, and production cycle time. The implementation of the policy increased revenue by 0.309203%.
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Indra Ava Dianta, Nuris Dwi Setiawan, and Tofani Wulandari. "SISTEM INFORMASI BERBASIS PEMROGRAMAN BERORIENTASI OBYEK UNTUK PENGADAAN BAHAN BAKU PADA CV. AINTZANE MANDIRI." Elkom : Jurnal Elektronika dan Komputer 13, no. 1 (2020): 103–15. http://dx.doi.org/10.51903/elkom.v13i1.183.
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CV Aintzane Mandiri is a company engaged in the field furniture. The Raw Material Manager at CV Aintzane is not yet optimal. Purchase Raw materials need to be considered because they will affect the maturity raw material needs and affect the production process.
 The information system for the supply of raw materials is needed by the company determination of expenditure, input of raw materials, and can minimize supply of raw materials for optimal use throughout the process production.
 Designing and building a procurement information system using raw materials Material Requirement Planning (MRP) method with programming language Microsoft Visual Basic 6.0, WAMP as server and MySQL as database. The results obtained from this information system can be obtained planning raw material requirements and production optimally and accordingly with company expectations.
 Keywords : Materials Requirement Planning, Computerized Accounting, Wamp, MySql
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Cahyo, Chandra Dwi, and Siti Mundari. "Perencanaan kebutuhan bahan baku untuk kelancaran produksi guna memenuhi permintaan (Studi kasus : UD. Maju Jaya)." Jurnal Teknik Industri Terintegrasi 7, no. 4 (2024): 2568–75. https://doi.org/10.31004/jutin.v7i4.37967.
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Maju Jaya is a furniture manufacturer in Surabaya that faces challenges in managing raw materials, especially camphor wood lonjoran, which causes production delays and customer dissatisfaction. This study aims to improve efficiency through forecasting raw material requirements using the Exponential Smoothing method with alpha 0.2, which has been proven to produce the lowest MAD value. The forecast results are used in production planning using the Chase Strategy method to flexibly adjust workforce capacity. Material Requirements Planning (MRP) analysis shows the need for repurchasing certain raw materials to prevent shortages. Stock monitoring and timely procurement of raw materials are recommended to ensure smooth operations and meet delivery schedules.
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Rosyidi, Cucuk Nur, Hani Aninda Intan Permatasari, and Pringgo Widyo Laksono. "An integrated optimization model for procurement and production lot sizing and scheduling problems." Production Engineering Archives 30, no. 2 (2024): 155–65. http://dx.doi.org/10.30657/pea.2024.30.15.
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Abstract Lot sizing is a prevalent issue within manufacturing companies, where determining the optimal procurement and production lot sizes is crucial for maximizing profits. This problem has become more complex, given that numerous suppliers can provide the same raw materials with different prices and quantity discount schemes. A company should also determine optimal carriers to deliver materials to the company’s warehouse. In a manufacturing process, the company should determine the optimal production lot size and its schedules. In this paper, a model was developed to solve simultaneously procurement and production lot sizing, as well as production scheduling problems. The model encompasses multiple suppliers offering quantity discounts, aiming to maximize company profit by accounting for various costs, including procurement, production, inventory, and quality costs. A case study is taken from a company producing noodles and its related derivative products to illustrate the application of the model. Based on the optimization results, the company obtained a total profit of IDR. 14,656,550,000 or $950,921.30 (the exchange rate of $1 at IDR. 15,413). The sensitivity analysis results show that the objective function is sensitive to changes in the purchase cost, sale revenue, and discount rate parameters. The decision variables for accepted product demand, product quantity, and the starting and completion time of product family are only sensitive to changes in certain parameters. Meanwhile, the decision variables for product inventory, product backlog, raw material inventory, and purchased raw material quantity are sensitive to the changes in all the analyzed parameters.
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Saputra, Rudi Abdika, Inna Kholidasari, Susanti Sundari, and Lestari Setiawati. "ANALISIS PERENCANAAN BAHAN BAKU DI UD. AA DENGAN MENERAPKAN METODE MATERIAL REQUIREMENT PLANNING (MRP)." Jurnal Logistik Indonesia 5, no. 1 (2020): 1–12. http://dx.doi.org/10.31334/logistik.v5i1.1180.
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This study discusses the application of the material requirements planning (MRP) method in the planning of raw materials in a furniture company. The purpose of this research is to know the planning of raw materials for furniture products in UD. AA, determine the most suitable inventory model to be applied to material inventory planning and analyze the role of the MRP system in raw material procurement planning. The forecasting method used is the quantitative method of time series analysis, determining the master production schedule, calculating lot sizing (LFL, EOQ, POQ methods). From determining the Master Production Schedule, it is found that the cabinet production plan for the next three months is 4 units per period or week, and based on the calculation of Material Requirement Planning (MRP) it can be seen what components are needed for the manufacture of cabinets, how many and when each component is required. Therefore it is obtained that the total raw material requirement for wood for the next three months is 11.34 m³.
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Firdaus, Firdaus, Roos Kities Andadari, Hari Murti Mahatma Putra, and Sri Sulandjari. "Supply Chain Management on Inventory Indonesian Drug Industry." Journal of Advanced Multidisciplinary Research 1, no. 2 (2021): 63. http://dx.doi.org/10.30659/jamr.1.2.63-72.
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The development of the human population in the world, especially Indonesia, to date is approximately 260 million people, making Indonesia in a big challenge where Indonesia must be able to meet the domestic drug supplies needed by the community. The availability of drugs is still an obstacle in the National Health Insurance in Indonesia, this requires the role of the pharmaceutical industry in supporting drug availability by implementing good supply chain management. The focus of this discussion is to look at drug supplies in Indonesia in meeting people's needs and identify factors for production planning, production capacity and raw material procurement for the pharmaceutical industry in supporting the availability of drugs to support the National Health Insurance. This research is a descriptive study by collecting information from various literatures on pharmacy and medicines in Indonesia with a focus on the discussion of production planning, production capacity and raw material procurement and delivery to pharmaceutical companies in supporting drug availability. Because the planning for drug needs used as a basis for drug procurement is inaccurate so that pharmaceutical companies cannot make accurate production plans and the quantity of drugs for the community is inaccurate, time and unavailable at any time, the need for and procurement of materials still depends on imported raw materials from abroad around 95% with a lead time of 1-3 months so that it has the potential to deplete drug supplies and make the National Health Insurance in Indonesia worse.
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Darmawan, Fitra, Tri Endar Suswatiningsih, and Christina Wahyu Ary Dewi. "Manajemen Pengadaan Bahan Baku Tandan Buah Segar (TBS) di Pabrik Kelapa Sawit (Studi Kasus di PT Katingan Indah Utama Kotawaringin Timur Kalimantan Tengah)." AGRIFITIA : Journal of Agribusiness Plantation 2, no. 2 (2023): 95–109. http://dx.doi.org/10.55180/aft.v2i2.285.
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The aims of the study are 1) Examine the management of FFB raw material procurement in PPKS, 2) calculate the utilization of used capacity from installed capacity on PPKS, 3) analyze the obstacles that arise in the process of fulfilling FFB raw materials in PPKS. This research method is case study research method. Sampling using a key person. Data analysis is done by calculating the used capacity. The results showed that the management of the procurement of raw material for fresh fruit bunches was carried out by planning a system for one year of production based on the RKT (Annual Work Plan), organizing raw materials for fresh fruit bunches from internal plantations and external plantations and the implementation and supervision carried out were very good. seen from the average number of realizations. Utilization of the actual used capacity of Kabuau PPKS is fairly good, with an average of 85.55% of the factory's installed capacity. The obstacle faced in procuring FFB raw materials at Kabuau PPKS from internal plantations is the lack of smooth delivery of fruit. The external constraint is the supply of fruit that is not of good quality. Keywords: management, procurement, used capasity
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Lestari, Sri, and Distian Dwi Nurdiansah. "Analisa Perencanaan Kebutuhan Material pada Perusahaan Manufaktur Kertas dengan Metode Material Requirement Planning (MRP)." Jurnal INTECH Teknik Industri Universitas Serang Raya 4, no. 2 (2018): 59. http://dx.doi.org/10.30656/intech.v4i2.956.
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The development of the business world is currently experiencing a very rapid growth rate. Planning for the proper procurement of materials will be able to facilitate the company's production activities. Production process activities in companies often experience problems such as inaccurate production, which is caused by delays in the arrival of raw materials, and damage to raw materials due to too long storing in warehouses. This study aims to plan future needs with the Material Requirement Planning (MRP) approach by doing forecasting, making the Master Production Schedule (MPS), Material Requirement Planning (MRP) and conducting a cost analysis of the five methods used. The results of this study are forecasting product demand will be used linear regression method, and effective material requirements planning method with the lowest cost is to use the Lot For Lot (LFL) method of $ 164.48. The application of the Lot For Lot method can reduce costs by 90.06% compared to the Fixed Period Requirements (FPR) method used by the company.
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Khotijah, Taufik Djatna, and Marimin. "Procurement Planning of Coffee Bean at Small Scale Agro-Industry in Kalibaru Banyuwangi Regency." IOP Conference Series: Earth and Environmental Science 1358, no. 1 (2024): 012039. http://dx.doi.org/10.1088/1755-1315/1358/1/012039.
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Abstract Procurement planning with forecasting techniques is constructive for the agro-industry in dealing with price fluctuations and uncertainty in the availability of quality raw materials and controlling procurement costs. However, not all agro-industries can implement procurement planning accurately and precisely because it is unsuitable for the data characteristics and limited data. This study aims to forecast the amount of raw material needed for KUB Srikandi in the future using the ARIMA Model. The results of the study show that there are two models in the ARIMA family: ARIMA (1,1,0) and ARIMA (0,1,1), both of which have significant parameters with p-values below 0.05. But the ARIMA (0,1,1) model is the best model, according to the results of the model with the lowest Mean Squared Error (MSE) value among all the models that were looked at. The purchase planning quantitative analysis results are 191 kg/month at the lower limit and 213 kg/month at the upper limit.
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Rahimi, Ali, Mikael Rönnqvist, Luc LeBel, and Jean-François Audy. "An optimization model for selecting wood supply contracts." Canadian Journal of Forest Research 50, no. 4 (2020): 399–412. http://dx.doi.org/10.1139/cjfr-2019-0281.
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Procurement for forest companies with pulp and paper mills aims to ensure that a sufficient volume of wood supply enters the production process. Numerous suppliers and contract types are available; however, their selection is a complex decision for procurement managers. In addition, managers typically dedicate a portion of their wood fiber demand to each group of suppliers, which is referred to as a portfolio strategy. Despite the available literature in contract selection, the consideration of contract types and their characteristics have not been addressed for the complex procurement process. In this study, a mixed-integer optimization model is proposed to best select contracts for pulp and paper procurement. The challenge was to plan deliveries in each time period to satisfy the demand of raw material at the mills. The potential of this model is demonstrated with a case study based on characteristics from a forest company in Quebec, Canada. A comparison between traditional fixed and flexible contracts is presented. Different portfolio strategies are also evaluated for groups of suppliers to investigate potential improvements.
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Abdullah, Rosyid, and Suseno. "Efficiency Strategy for Procurement of Raw Materials for Side Beam for Bogie with Material Requirement Planning at PT XYZ." Jurnal Sistem Teknik Industri 26, no. 2 (2024): 218–27. http://dx.doi.org/10.32734/jsti.v26i2.16402.
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Companies in Indonesia must find the right solution in order to survive and compete in the era of globalization. Price competition is an important strategy in the competition between similar companies. Based on this, there is a need for a good understanding in the company regarding strategic financing planning in order to achieve predetermined goals efficiently. This efficiency can be characterized by minimal cost expenditure in order to obtain maximum profit. One way to get maximum profit is by implementing good inventory management PT XYZ is a train manufacturing company in Southeast Asia. The company produces various types of trains. There is a production planning for the Train XYZ project with a total production of 526 units of train components for the Side Beam for Bogie. Procurement of these raw materials, PT XYZ uses Lot for Lot (LFL) at a cost of Rp1,411,402. The use of the LFL system still has shortcomings, namely problems due to late delivery and inefficient procurement in terms of financing. The results of production planning research with several MRP methods that have been compared, it is concluded that POQ lot sizing is the most efficient procurement of raw materials other than LFL. In detail, the total cost with the POQ method amounted to Rp1,243,140 and decreased by 11.9%. The cost consists of procurement costs of Rp781,162 and storage costs of Rp461,978.
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Sanjaya, Taufiq, and Djoko Adi Waluyo. "PENERAPAN METODE MATERIAL REQUIREMENT PLANNING (MRP)DALAM PERENCANAAN KEBUTUHAN BAHAN BAKU KEMASAN PLASTIK HD MAYOR." WAKTU: Jurnal Teknik UNIPA 11, no. 2 (2013): 28–31. http://dx.doi.org/10.36456/waktu.v11i2.856.
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The raw material is a major component in an industry, where raw materials become afundamental requirement in the production process. That requires a careful inventory planningsystem in the processing of raw materials production. If adequate supplies of raw materials, theproduction continues to run smoothly. Material Requirement Planning (MRP) is a method forcontrolling the raw material inventory planning. Where this method is designed specifically forthe production of corrugated demand situation. With this method, the researchers conducted astudy of HD plastic packaging raw material inventories at a food company, in which the process ofcollecting data with historical data recording system usage reports monthly HD plastic.The purpose of this study was to determine inventory levels and determine strategies forcontrolling and planning of HD plastic packaging materials. By making MPS for 3 months, thenthe obtained forecasting production from December 2012 s/d in February 2013. The doughproduction amount of demand Adonan 32.543batch and demand of Cream 95.938batch.With the number of such requests, the need for plastic packaging materials as much HD plasticshort 24zak as same 7221.45Kg, equivalent to as much as 604.79Kg weekly demand. For HDplastic long needs 19zak as same 5610.86kg, equivalent to 467.57Kg weekly demand. By usingthe MRP method can determine the company's raw material procurement strategy for the next 3months. Thus the MRP method can be applied in the raw material requirement planning.
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ILHAM, SAPUTRA, and Stighfarrinata Rizky. "Analisis Pengendalian Persediaan Bahan Baku Jagung Untuk Proses Produksi Pakan Ternak di PT.Japfa Comfeed Indonesia Tbk. Unit Gedangan Sidoarjo Dengan Metode EOQ." Jurnal Teknologi dan Manajemen Sistem Industri 2, no. 1 (2023): 9–19. http://dx.doi.org/10.56071/jtmsi.v2i1.448.
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PT. Japfa Comfeed Indonesia, Tbk is a company engaged in the animal feed industry. The raw material that is managed to become animal feed is corn. Raw material management process activities are carried out very strictly in its management to produce quality animal feed. Procurement of raw materials pays attention to the quality of corn prior to purchase. The first stage is carried out by the company in ensuring the quality of the raw materials to be received. After purchasing raw materials, a quality control process is carried out which Quality Control strictly and thoroughly ensures the quality of corn before it is stored according to company standards. This research uses the Economic Order Quantity method because it needs to analyze in more depth the problems that occur at PT. Japfa Comfeed Indonesia, Tbk. In supporting production processes, this study analyzes activity conditions, then models a raw material management system for companies that can assist in planning and controlling raw materials so as to support the production process. and produce modeling of raw material management systems in production planning.
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Fajriyah, Eka Wahyuni, Mohammad Fuad Fauzul Mu'tamar, and Askur Rahman. "Perencanaan Persediaan Bahan Baku Rajungan Menggunakan Metode MRP (Material Requirement Planning) (Studi Kasus : UD. Gerald Unedo)." Rekayasa 10, no. 1 (2018): 9. http://dx.doi.org/10.21107/rekayasa.v10i1.3599.
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<p><strong>ABSTRAK</strong></p><p><em>Pengadaan bahan baku sering menjadi permasalahan dalam suatu industri. Pengadaan bahan baku yang baik dapat memperlancar jalannya suatu proses produksi sehingga kebutuhan dapat terpenuhi tepat waktu dan meminimalisasi biaya pengadaan. UD. Gerald Unedo yang terletak di Desa Sabiyan Bangkalan merupakan perusahaan yang bergerak di industri rajungan berproduksi sebagai pengulitan Rajungan. Pengadaan bahan baku metode perusahaan dilakukan berdasarkan apa yang biasa dilakukansebelumnya oleh perusahaan yaitu perusahaan akan memproduksi berapapun bahan baku yang tersedia pada suplier.Hasil yang telah dilakukan dengan metode MRP teknik Lot For Lot didapatkan biaya pemesanan sebesar Rp. 247. 470. 417 dan biaya penyimpanan sebesar Rp. 256. 700. 806 penghematan sebesar 44 % lebih hemat dibandingkan dengan metode perusahan.</em></p><p><em> </em></p><p><strong><em>Kata kunci : Persediaan, Pengadaan, Pemesanan, Penyimpanan, Lot For Lot, UD. Gerald Unedo</em></strong></p><p> </p><p><strong>ABSTRACT</strong></p><p><em>The supply of raw materials is often a problem in an industry. Procurement of good raw materials can facilitate the running of a production process so that needs can be met on time and minimize procurement costs. UD. Gerald Unedo located in Sabiyan Bangkalan Village is a company engaged in the crab industry produces as a difficulty of Rajungan. Procurement of raw materials company method is done based on what used to be done before by the company that the company will produce whatever the raw materials available on suplier.a result has been done with the method of MRP techniques Lot For Lot method a obtained booking is fee of Rp. 247. 470. 417 and the storage fee of Rp. 256. 700. 806 savings of 44% than efficient more the method of the company.</em></p><p><strong><em>Keywords: Inventory, Procurement, Booking, Storage, Lot For Lot, UD. Gerald Unedo</em></strong></p>
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Rafsanjana, Sasotya Rigan, Rahaditya Dimas Prihardianto, and Paramaditya Arismawati. "Evaluation Of Raw Material Inventory Policies Using Material Requirement Planning (MRP) And Lot Sizing Methods: Case Study Of XYZ MSMEs." Dinasti International Journal of Economics, Finance & Accounting 5, no. 3 (2024): 1668–88. https://doi.org/10.38035/dijefa.v5i3.2990.
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Micro, Small and Medium Enterprises (MSMEs) have an important role in economic growth in Indonesia. Inventory management is one of the key aspects in the operational sustainability of MSMEs, especially raw materials used in the production process. One of them is XYZ MSMEs which is a producer of meatball pentol and meatball tofu products which uses several types of raw materials in its production process. The problem currently being faced is that there are often shortages and excesses in purchasing raw materials during procurement. This research aims to analyze the cost of raw material inventory at XYZ MSMEs using five different Lot Sizing methods, namely Economic Order Quantity (EOQ), Period Order Quantity (POQ), Silver Meal (SM), Least Unit Cost (LUC), and Part Period Balancing (PPB). This research uses historical data from MSME XYZ to identify differences in raw material inventory costs between the five MRP methods used. The results of this research show that the Silver Meal (SM) method produces the lowest total inventory costs for beef and tapioca starch as raw materials. Meanwhile, the Part Period Balancing (PPB) method produces the lowest total inventory costs for MSG raw materials.
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Nazema Riskia Syawal, Teguh Wicaksono, and Rina Rina. "Pengaruh Manajemen Rantai Pasok terhadap Kelancaran Produksi Industri Kecil Menengah (IKM) Nela Sasirangan Kota Banjarmasin." OPTIMAL Jurnal Ekonomi dan Manajemen 5, no. 2 (2025): 281–92. https://doi.org/10.55606/optimal.v5i2.5870.
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The influence of supply chain management on smooth production at SME Nela Sasirangan in Banjarmasin City The purpose of this study was to determine whether demand planning, raw material procurement, and inventory management significantly affect production smoothness. This quantitative study used a saturated sampling survey method and involved 34 people who were directly involved in the production process. The analysis employed multiple linear regression to evaluate the data. The findings of this study indicate that demand planning, procurement of raw materials, and inventory management significantly influence the efficiency of the production process. This finding suggests that these three factors are an important part of supply chain management that can help the production process run efficiently and sustainably. Therefore, the implementation of effective supply chain management practices is essential for continuity and performance.
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Suflani, Suflani, Khaeruman Khaeruman, and Masmanto Moh Jawahir. "INVENTORY MANAGEMENT ANALYSIS USING THE MATERIAL REQUIREMENT PLANNING (MRP) METHOD IN THE OPTIMIZATION OF HANDICRAFT RAW MATERIALS." International Journal of Multidisciplinary Research and Literature 2, no. 3 (2023): 359–68. http://dx.doi.org/10.53067/ijomral.v2i3.124.
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Raw material inventory is a very important asset for a business. The inability to carry out effective planning of raw material inventory can have a negative impact on the production process. Research aimed at optimizing material inventory planning is a very important step to increase the efficiency of the production process. Qualitative analysis is indeed an important and relevant research method in optimizing material inventory planning. This method focuses on an in-depth understanding of the data collected, exploring the meaning of the information provided by informants through interviews, observation, or documentation. The MRP (Material Requirements Planning) method is an effective approach in optimizing material inventory planning. This method allows companies to place orders for raw materials precisely, determine the amount of goods to be purchased, and reduce the risk of delays in the supply of raw materials. The results of using the MRP method are: (1) being able to order raw materials precisely, because we already know what is needed, (2) can determine the amount of goods to be purchased, (3) reducing the risk of delays in the supply of raw materials
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Martinez, Marina Mosquera. "Differential Raw Material Use in the Middle Pleistocene of Spain: Evidence from Sierra de Atapuerca, Torralba, Ambrona and Aridos." Cambridge Archaeological Journal 8, no. 1 (1998): 15–28. http://dx.doi.org/10.1017/s0959774300001281.
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This article reviews the evidence for planning behaviour in Middle Pleistocene hominids. It documents the way in which raw material procurement and tool production were structured during the Middle Pleistocene occupations of the Spanish sites of Sierra de Atapuerca, Torralba, Ambrona and Aridos. Differences in the use of raw materials for different kinds of tool or end-product allow inferences to be drawn about pre-Neanderthal intentionality and cognitive ability. The overall pattern of technological behaviour demonstrated by this study is far removed from the purely ‘opportunistic’ and can reasonably be described as involving both forethought and planning. The work is presented from a techno-economic perspective based on the differential use of raw material types present in the lithic assemblages of these sites, and the proximity of sources of these raw materials in the surrounding landscape.
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Rufaidah, Anik, Kurnia Cahya Lestari, and Muhammad Arif Wahyudin. "Metode Material Requirement Planning (MRP) untuk Perencanaan Kebutuhan Bahan Baku pada Produksi Songkok Nasional di UD. Iqbal VIP." Jurnal Optimalisasi 7, no. 1 (2021): 16. http://dx.doi.org/10.35308/jopt.v7i1.2577.
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The right production design at a company will get effectiveness and more production efficiency, including the plan for material requirements or raw materials used by the company. In essence, planning to meet the needs of the material in a company is expected to produce an appropriate system to be applied, therefore making the production process smooth. Where this research aims to compile Material Requirement Planning (MRP) with lot-sizing technique, then compare the results to obtain the optimal combination of raw material procurement. The use of time series method on-demand uses past data, namely the last two years and the forecasting results use the additive decomposition method because this method gets a minimum error value. By using POM, the demand prediction for one year is 6951 scores. Meanwhile, the MPS results on the raw material for one year of songkok required 488 pcs of velvet cloth, 1391 kg of pelisir and 6951 scores of bos-bosan. From the MRP results, the PPB technique is the most optimal for planning the raw material needs of velvet, lining and boredom by ordering the purchase of natural velvet fabric as much as six times, pelisir 1 time and bos-bosan as 6 times.
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Astuti, Pudji, Mohammad Ali Wafa, and Iveline Anne Marie. "Perancangan Sistem Informasi Perencanaan dan Pengendalian Persediaan Bahan Baku di PT. X." JURNAL TEKNIK INDUSTRI 8, no. 3 (2018): 172–87. http://dx.doi.org/10.25105/jti.v8i3.4732.
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PT. X is a company engaged in the production of paper pallet packaging for exports. In the production process, PT. X implements Make-To-Order production strategies which would begin to manufacture if the company has received orders from customers. Recently the problems facing by company are the uncertainty lead-time delivery and uncertainty of demand from customer. Both of these issues resulted the ordering of raw materials were unplanned and further caused in delayed delivery of finished products to customers. Furthermore the use of conventional display board currently leads to human error either recording the customer orders or calculating the availability of raw materials.The objective of this research, to solve the problem, proposed decision support system or DSS which will helps the company to schedule procurement of raw material and helps to control raw material availability. Stage of designing the DSS is using the waterfall system development so that the process is done by sequentially developed for each phase of development.The system development process is starting from the system initiation, analysis, design system and implementation. To analyze process, used object-oriented approach which point in the making of models to help analyze and understanding the problem. Results from the study showed that the problems faced by company solved by implementing the safety stock and the procurement scheduling which integrates with early warning sub model, Material Requirement Planning (MRP) sub model and inventory sub model, into a web-based decision support system that can be accessed anywhere, anytime and accurately by authorized user. Safety stocks are used as a backup supply which will be used when the uncertainties of demand occurred. MRP sub model schedules the procurement and calculate raw material requirements based on Bill of Material. Inventory sub model with early warnings system will provide a reminder to the user if the amounts of raw materials available have reached a certain condition so that users can perform further actions to maintain the availability of raw materials.
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R C, Harshanth, and Megha k. Murthy. "A analytical study on supply chain management and distribution channel at Chamundeshwari sugar industry, srinivasapura. hassan." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–9. https://doi.org/10.55041/ijsrem40188.
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Supply Chain Management (SCM) plays a crucial role in ensuring the efficiency and effectiveness of the Chamundeshwari Sugar Industry. This analytical study examines the intricate components of SCM within the industry, focusing on procurement, production, and distribution channels. The objective is to assess the current SCM strategies, identify potential inefficiencies, and propose recommendations for optimization. The study begins by analyzing the procurement process, including sourcing raw materials such as sugarcane, and how supplier relationships impact overall productivity. It then delves into the production process, evaluating the conversion of raw materials into finished products. The distribution channels, which are critical for delivering the final product to consumers, are also scrutinized, with particular attention to logistics, warehousing, and transportation. Through qualitative and quantitative analysis, the study highlights key challenges faced by the Chamundeshwari Sugar Industry, such as fluctuating raw material prices, transportation bottlenecks, and demand forecasting inaccuracies. Additionally, the research explores the impact of technological advancements on SCM, including the use of automation and data analytics for better decision-making. This study refers to testing through Chi-Square on analysis and interpretation. Key words: Logistics management, inventory management, procurement management, transpotation management, warehouse management, channel management.
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Asmal, Sapta, Deni Kurniawan, Besse Indah, Muhammad Anshar, and Suradi Suradi. "Inventory planning of raw material using Silver Meal and Wagner Whitin Algorithm." Acta logistica 10, no. 04 (2023): 589–96. http://dx.doi.org/10.22306/al.v10i4.437.
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Material inventory planning is needed in the industrial world to advance a business because it will affect the costs incurred, the production process, and the profits generated by the company. The company has a problem that occurs when the control of raw material inventory could be more optimal. It recorded that throughout 2021, 33.647,18 meters of fabric pants were stored in warehouses. This is influenced by several factors, including the calculation of safety stock, lead time due to uncertain logistics and the selection of methods that have not been maximized. The novelty of this research is that it discusses inventory planning, the methods used are Silver Meal Algorithm and the Wagner Whitin Algorithm. Data processed is on demand for clothes and jeans throughout 2021. The results show that the Silver Meal is suitable for five materials, and the Wagner Whitin Algorithm is on one material. Companies can use both methods for each raw material. Nevertheless, it is more optimal if the company utilizes only one method for procurement of raw materials, the Silver Meal because when it is used in the long term, the cost of raw materials is less than the Wagner Whitin Algorithm. The Siler Meal’s total inventory cost is Rp. 138.281.497, and the Wagner Whitin Algorithm is Rp. 170.010.097
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Maulana, Bambang Widyawardhana, and Niniet Indah Arvitrida. "Design of Risk Mitigation Strategy for Procurement of Raw Materials to Glass Melting Furnace at PT AMFG." Jurnal Teknobisnis 8, no. 1 (2024): 56–73. http://dx.doi.org/10.12962/j24609463.v8i1.940.
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Raw materials procurement is crucial in the sustainability of the glass manufacturing industry, including at PT Asahimas Flat Glass Tbk (AMFG). Procurement of raw materials that are not smooth can cause a significant loss and can cause production failure (unproduct) or shut off factory operations. The glass factory has the characteristics of a continuous factory where the smelting materials must be fed continuously because the smelting furnace operates continuously. There is no holistic research on raw material procurement risk management at PT AMFG. This research uses the House of Risk (HoR) approach to manage risk, which consists of 2 phases. The first phase is identifying risks in which risk events and agents are identified and measurement of severity and occurrence, also carried out levels and calculation of the aggregate risk potential (ARP) value. The second phase is risk management. The phase 1 HoR analysis result was carried out by direct discussion at PT AMFG or material supplier in the mine through scoring for each risk event, namely 65 risk events that can be identified through the planning, purchasing, mining/production, inspection, delivery and treatment process. From the Pareto chart, 9 potential risk agents must be prevented by evaluating using HoR stage 2, so that 17 preventive actions are obtained, of 10 preventive actions will be prioritized. One of the priority actions is the creation of an online monitoring dashboard application (Raw Material or RM-One) that can quickly update and monitor risk management from upstream (mining materials and other crucial raw materials) to downstream (factories). RM-One will help facilitate supply chain coordination, especially in preventive efforts against risks.
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Mumtaz, Mohammad Kamran, and Shahid Raza Mir. "Strategic buying at National Foods, Pakistan – a recipe for success." Emerald Emerging Markets Case Studies 1, no. 1 (2011): 1–7. http://dx.doi.org/10.1108/20450621111122174.
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Subject area Operations management, purchasing and procurement management, inventory management and supply chain. Student level/applicability Introductory courses in Operations Management; MBA level and final year undergraduates in management. Masters level in purchasing/procurement management, inventory management and supply chain management. Case overview The case deals with strategic purchase decision of a basic raw material used in ketchups. Ketchups represent 15 per cent of annual sales at National Foods. Mohammad Iqbal, Head of Supply Chain at National Foods, is confronted with the decision of buying tomato paste for fiscal year 2007-2008. He needs to decide how much paste to order from National Foods' supplier in China and when. He has the demand forecast for the paste for 2008 available to help him make the decision. Expected learning outcomes The case will introduce the students to issues in strategic buying of a basic raw material that is crucial to production. The case is not designed to teach just the basic concept of trade-off between inventory holding and stock out cost. The students should bring these basic concepts of operations with them to understand how these concepts are combined with knowledge of other disciplines to tackle a complex raw material planning issue. Students learn how to plan for the purchase of a perishable yet important raw material for an organization. Supplementary materials Teaching note.
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Vidiasari, Mike, and Ribangun Bamban Jakaria. "A Planning Purchasing Policies for Raw Material Welding Wire Using Economic Order Quantity (EOQ) Method to Reduce Overstock." Procedia of Engineering and Life Science 7 (February 21, 2024): 1–5. http://dx.doi.org/10.21070/pels.v7i0.1587.
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This study aims to determine the optimal order quantity of K71T welding wire for PT BMI's boiler production process to reduce storage and inventory costs. The Economic Order Quantity (EOQ) method is applied to calculate the optimal amount of material to be ordered in one period. The results show that the total inventory cost using the EOQ method is Rp. 89,060,000,- compared to the company policy of Rp. 290,840,000,-. The optimal number of orders is 407 boxes with a purchase frequency of 4 times per year and a safety stock of 181 boxes. The findings of this study can be used as a reference for other manufacturing companies that face similar procurement challenges to optimize their inventory management and reduce costs.
 Highlight :
 
 The study determines the optimal order quantity of K71T welding wire, reducing storage and inventory costs.
 The Economic Order Quantity (EOQ) method is applied, resulting in a total inventory cost of Rp. 89,060,000,- compared to the company policy of Rp. 290,840,000,-.
 The findings can be used as a reference for other manufacturing companies facing similar procurement challenges to optimize their inventory management and reduce costs.
 
 Keywords: welding wire, optimal order quantity, inventory management, procurement challenges, manufacturing companies
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Malinda, Debby, Tita Talitha, and Jazuli Jazuli. "Perencanaan dan Pengendalian Bahan Baku Sarung Batik (Studi Kasus CV. Mitra Setia Usaha)." Applied Industrial Engineering Journal 1, no. 1 (2018): 24–30. http://dx.doi.org/10.33633/aiej.v1i1.1722.
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Planning and controlling the needs of both raw materials and finished products is a significant thing for companies to optimize their production. This also applies to CV. Mitra Setia Usaha that engaged in the textile industry with raw materials batik cloth. During this time, CV. Mitra Setia Usaha has not applied standard methods in the planning and control of raw material needs. Determination of the amount of raw materials so far only based on the number of consumer orders. In the last 2 (two years) (October 2014 to September 2016), the company received a request of 5.050,000 meters, but the existing supply of cotton fabric was only 4,920,500 meters. One of the methods that can be applied in the CV. Loyal Business Partners is the Material Requirement Planning (MRP). By applying this MRP-Lot for for lot (LFL) method, CV. Mitra Setia Usaha able to reduce the cost incurred in the procurement of raw materials for one year which initially amounted to 104.328.000 rupiah to 93.817.673 rupiah and can even be reduced again to 83.306.995 rupiah using the method of Order Quantity Period (POQ)
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Eviyanti, Via, Refial fadhil Marasabessy, Debora evanya Sinaga, Nurmalina Wali, Paunelin florensia Sipahelut, and Santriana Shale. "Penerapan Standard Operating Procedure pada UMKM Pabrik Tahu UD Sumber Rizky." Jurnal Tagalaya Pengabdian Kepada Masyarakat 2, no. 1 (2025): 43–58. https://doi.org/10.71315/jtpkm.v2i1.115.
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UD Tofu Factory. Sumber Rizky is one of the MSMEs that focuses on tofu production in Ambon City. The conversion cycle implemented includes the main stages, starting from marketing planning, production planning, raw material procurement, work ordering, to the production and distribution process of finished products. Each stage is designed to ensure operational efficiency and effectiveness, taking into account the management of raw materials such as soybeans, vinegar and turmeric, as well as the distribution of labor to support optimal production processes. However, in its implementation, the UD Tofu Factory. Sumber Rizky faces several challenges, such as the lack of structured standard operating procedures (SOP) for each stage of production. Implementing clear and measurable SOPs is an important solution to improve product quality consistency, reduce waste of raw materials, and increase work efficiency.
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Rahmawati, Ami, Rizal Amegia Saputra, and Ita Yulianti. "DEVELOPMENT OF MANUFACTURING INVENTORY MANAGEMENT SYSTEM USING MATERIAL REQUIREMENT PLANNING METHOD." Jurnal Riset Informatika 4, no. 1 (2021): 37–44. http://dx.doi.org/10.34288/jri.v4i1.271.
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Inventory has an important role in business activities. This is because inventory has an effect on changes in the production market and anticipates price changes in the demand for many goods. PT. Barkah Jaya Mandiri is a company engaged in manufacturing where the management of inventory at the company is still done conventionally. This causes various problems such as the occurrence of discrepancies in the stock of goods, discrepancies in data and final reports as well as obstacles in the production process in the event of a shortage or excess of raw materials. (Material Requirement Planning) in order to overcome the problems that occur in the company. The combination of the SDLC model and data collection techniques including observation, interviews and literature study were also carried out in this study in order to achieve the system that will be built to suit the targeted needs. With this system, the management of inventory data at this company can be done easily and accurately and save time compared to the previous system, so that the procurement of manufacturing raw materials is optimal and employee performance is better.