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Soeltanong, Myra Beatrice, and Catur Sasongko. "Perencanaan Produksi dan Pengendalian Persediaan pada Perusahaan Manufaktur." Jurnal Riset Akuntansi & Perpajakan (JRAP) 8, no. 01 (June 29, 2021): 14–27. http://dx.doi.org/10.35838/jrap.2021.008.01.02.
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ABSTRACT
This research was conducted with the aim of observing the production planning process applied by PT X then designing a comprehensive production planning and inventory control so that it can overcome the occurrence of shortages and excess of inventory in the company. The research was conducted by observing a springbed manufacturing company PT X in Makassar. The data used are primary and secondary data, using instruments such as interviews, conducted on staffs and management of PT X, site visits, as well as company historical data. The results of the research were in the form of production planning, through demand forecasting, master production schedule, and planning for resource requirements. In addition, the researcher also established an inventory control system that could support the company's production process using the EOQ method, safety stock, and reorder points. The results of the research are not necessarily applicable to other companies with different demand patterns or to companies with different industries. In addition, the methods used in production planning and inventory control are limited in this study.
ABSTRAK
Penelitian ini dilakukan dengan tujuan untuk mengamati proses perencanaan produksi yang diterapkan perusahaan manufaktur PT X, merancang perencanaan produksi dan pengendalian persediaan yang komprehensif sehingga dapat mengatasi terjadinya kekurangan maupun kelebihan persediaan pada perusahaan. Penelitian dilakukan dengan melakukan observasi pada perusahaan manufaktur PT X, perusahaan manufaktur yang memproduksi kasur per di kota Makassar. Data yang digunakan merupakan data primer dan sekunder, berupa wawancara yang dilakukan pada jajaran staf dan manajemen PT X, serta data historis perusahaan. Hasil penelitian berupa perencanaan produksi yang melewati tahap peramalan permintaan, pembentukan jadwal induk produksi, serta perencanaan kebutuhan sumber daya. Selain itu, peneliti juga membentuk sistem pengendalian persediaan yang dapat mendukung kelancaran proses produksi perusahaan dengan metode Economic Order Quantity (EOQ), persediaan pengaman, dan titik pemesanan kembali. Hasil penelitian belum tentu dapat diterapkan pada perusahaan lain dengan pola permintaan maupun pada perusahaan dengan industri yang berbeda. Selain itu, metode yang digunakan dalam pembentukan perencanaan produksi dan pengendalian persediaan pun menjadi keterbatasan dalam penelitian ini.
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Chumnumporn, Kwanchanok, Chawalit Jeenanunta, Somrote Komolavanij, Natthawadee Saenluang, Kamonda Onsri, Koraphat Fairat, and Kanchanok Itthidechakhachon. "The Impact of IT Knowledge Capability and Big Data and Analytics on Firm’s Industry 4.0 Capability." Proceedings 39, no. 1 (January 9, 2020): 22. http://dx.doi.org/10.3390/proceedings2019039022.
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Smart factory is a fully-integrated of firm’s facilities (i.e., sensors, smart machines, and robots) and information system architecture (i.e., IoT, ICT, and cloud computing) to enable high degree of automation in manufacturing processes. IT knowledge capability is the IT knowledge organization that how employees understand IT knowledge in different dimensions, i.e., general management, product design, production planning, data analysis, information security, and automation system. Since the system of smart factory depends on the massive of data collecting (big data) and the firm’s advance analyzing approach (analytics). The big data in manufacturing include the data from production planning, quality control, procurement, inventory control, human resource management (HRM), and delivery. The purpose of this study is to examine the role of IT knowledge capability and big data and analytics on the degree of smart factory. Survey data from 141 Thai manufacturing firms from the list of the ministry of industry and industrial zones were collected during March–April 2019. The multiple regression result shows that both IT knowledge capability and big data and analytics have a positive impact on the degree of smart factory. In addition, we use a firm’s age and firm’s size (based on the number of employees and total asset) as control variables. The results show that firm’s size have a positive effect on hypothesis model.
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Sillapa-Archa, Tanaporn, Phiphlu Thaninthanadech, and Darin Smitasiri. "Advanced Cost-Efficient Production Scheduling in Hi-Tech Manufacturing Industry at Test Operation." Applied Mechanics and Materials 110-116 (October 2011): 3922–29. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.3922.
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Rapid change in customer demand and aggressive business competition in high technology industry has driven the need for greater performance with lower price product under short product life cycle. This stimulates semiconductor manufacturing companies to pay much more attention to their cost control and production built strategy. Bad performance in shop-floor planning results in huge inventory, poor equipment efficiency, and therefore it would jeopardize the company sustainability. Consequently, the main objectives of an effective production planning intelligence are to maximize company benefits, meet customer expectation and improve production efficiency. This paper presents an algorithm of production loading plan that balances cost, meet customer delivery request and optimize production efficiency by considering all important constrained factors in manufacturing environment, namely test cost per hour, throughput rate, machine capacity and utilization, hardware set up matrix and limitation, the number of change-over and customer delivery date. The analysis is done by comparing the performance outcome with the common scheduling rules. The result of this new planning logic solution is proved to increase the effectiveness of the production scheduling plan based on available resources on hand and complex of constraint. It also decreases human interfere causing error in planning procedure.
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Susanty, Aries, Bambang Purwanggono, and Raudina Huduni. "Assessment of Sustainability Process Using Multi-grade Fuzzy in CV. Indo Jati Utama." E3S Web of Conferences 125 (2019): 07014. http://dx.doi.org/10.1051/e3sconf/201912507014.
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The first purpose of this study calculated the sustainability index of economic, environmental, social criteria and the sustainability index of the whole manufacturing process conducted by CV. Indo Jati Utama (a wood processing manufacturer in Semarang that sells its products on an export scale). The second purpose of this study calculated the performance importance index of each indicator in each criterion. The last purpose of this study proposed some recommendations to increase the sustainability of the manufacturing process at CV Indo Jati Utama. This study uses the multi-grade fuzzy (MGF) method to calculate sustainability and performance importance index. This study used primary data, collected using questionnaires from five experts (General Manager, Department Head of Marketing, Department Head of Finance, Department Head of Production Planning and Inventory Control, and Department Head of Human Resource). The result of data processing indicated that the sustainability index of economic, environmental, and social and the whole manufacturing production process was 7.48, 7.60, 7.60, and 7.50 successively. Moreover, the result of data processing also indicated that the enterprise should increase the performance of five indicators to get more sustainable, namely, flexibility to change, environmental management, green image, employee compensation practices, and employee career development program.
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Ochieng, Bob. "LEAN MANUFACTURING PRACTICES AND SUPPLY CHAIN PERFORMANCE OF SUGAR MANUFACTURING FIRMS IN WESTERN KENYA." American Journal of Supply Chain Management 6, no. 1 (May 21, 2021): 27–43. http://dx.doi.org/10.47672/ajscm.719.
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Introduction: Western Kenya is the largest producer of sugar in Kenya, supporting about 170,000 smallholder farming households and contributing about 80 percent of the total sugar produced in Kenya. This contribution is however threatened given that the sugar firms in that region are producing sub optimally with obsolete technology. Comparing to related sector, other firms in Kenya such as the tea manufacturing firms have implemented energy efficiency practices so as to manage energy wastage and reduce production costs. Were they to employ effective production methods, they could increase their production significantly. While that is the case, scholars have suggested that adoption of lean manufacturing practices is a panacea to quality addition and waste minimization. Perhaps what these firms need are lean practices.
Purpose: This study interrogated the extent to which the firms have adopted lean manufacturing practices, just-in-time and total quality control and if they have, its effect on supply chain performance.
Methodology: The study targeted and conducted a census on the 11 sugar manufacturing firms in the Western Kenya belt where the procurement managers, line managers, finance managers, production managers, production engineers, quality assurance officers and operations managers of each of the 11 firms (total 87) were targeted. The study employed a descriptive research design to collect quantitative data. Quantitative primary data was collected through questionnaires and analyzed using statistical package for social sciences.
Findings: The findings of the study indicated that the just in time productionand total quality control are positively and significantly associated with supply chain performance of the sugar manufacturing firms.
Unique Contribution to Practice and Policy: The study recommended adoption of just in time production practices such as availing labor on demand in order to manage labor costs, availing resources on demand in order to manage wastage, production on demand in order to manage inventory costs, ordering raw materials from the suppliers only when there is demand for production from customers, having a simplified production design to ensure timely production and having multiple skilled workers to ensure faster production. In addition, in order for the sugar manufacturing firms to increase supply chain performance, there is need to adopt total quality control practices such as having manageable defect prevention costs related to quality planning, putting in place manageable defect prevention costs related to investment in quality related information systems, having manageable appraisal costs related to test and inspection of purchased materials, having manageable appraisal costs related to quality audits, having controllable internal failure costs related to reworks and having manageable internal failure costs related to scrap.
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Al-Magsoosi, Muneam Zamzeer. "Smoothing Short Duration Capacity Problems in Enterprise Resource Planning (ERP) Systems: An Algorithmic Approach." Advanced Materials Research 933 (May 2014): 860–68. http://dx.doi.org/10.4028/www.scientific.net/amr.933.860.
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Successful implementation of ERP systems should take full advantage of the access to information, but not be constrained by many of the deficiencies associated with infinite capacity scheduling methodologies. In this paper an algorithm is developed which improves the performance of the ERP system. Lot sizing decisions based on capacity availability are used as an instrument to integrate more effectively capacity requirements planning (CRP) and Material Requirements Planning (MRP). MRP is a planning tool for a sub-set of manufacturing system specially in hierarchal multi-product, multi-period and multi-stage production planning and inventory control system. The Vehicle used for this integration is planned order release (POR) quantity. The algorithm requires minimal deviation from the MRP logic. In this sequential process MRP first issues the action notices and then the algorithm analyses the capacity situation in the work centers. The algorithm scans all planned order release quantities of lower level items in the action bucket before orders are released to the shop. For each item a delta value is computed identifying the degree orders are contributing to capacity problems. This delta is specific to each POR. The POR causing the highest overload and the one passing through the lowest utilized work centers are selected for a lot size decrease, respectively, an increase. After identifying the candidates, a series of checks analyses the suitability of the candidates for that change. The planned order release quantities of more items can be performed. Projected capacity profile after iteration will be updated and capacity requirements over a short duration are smoothed. The experiments are performed with MAP/3000 as a simulation model for this study. The developed algorithm is added to MAP/3000 as additional subroutines. The design of the experiments consists of a base test identifying the significance of different environmental parameters of MRP systems and a main test which performs a detailed evaluation. The results are evaluated using analysis of variance techniques. Most ERP systems built on the historical development of MRP and CRP systems, and the assumption of infinite capacity is affecting the performance of those systems badly. This paper is presenting an algorithm to smooth capacity problems by using the existed capacity.
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Maropoulos, P. G. "Cutting Tool Selection: An Intelligent Methodology and its Interfaces with Technical and Planning Functions." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 206, no. 1 (February 1992): 49–60. http://dx.doi.org/10.1243/pime_proc_1992_206_055_02.
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This paper presents a new cutting tool selection methodology, namely the intelligent tool selection (ITS), which covers the whole spectrum of tool specification and usage in machining environments. The selection process has five distinct levels and starts by deriving a local optimum solution at the process planning level, which is progressively optimized in the wider context of the shop-floor. Initially, multiple tools are selected for each machining operation and tool lists are formed by sorting selected tools in order of preference. The second selection level provides a tooling solution for a component by considering all the operations required as well as the characteristics of the machine tool. The selected tools are then rationalized by forming a set of tools for machining a variety of components on a given machine tool at level 3 and by increasing the use of common and standard tools within a group of machines at level 4. Finally, the fifth level aims at reducing tool inventory by classifying existing tools into categories according to their usage and is also used for introducing new tools into the manufacturing system. The selection method allows the implementation of the minimal storage tooling (MST) concept, by linking the ordering of new and replacement tools to production control. ITS also uses the concept of tool resources structure (TRS), which specifies all tooling resources required for producing a component. By using the framework provided by ITS, TRS and MST it can be shown that tooling technology interfaces with diverse company functions from design and process planning to material/tool scheduling and tool management. The selection methodology results in higher utilization of tools, improved efficiency of machining processes and reduced tool inventory.
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Hwang, David, and Hokey Min. "Identifying the drivers of enterprise resource planning and assessing its impacts on supply chain performances." Industrial Management & Data Systems 115, no. 3 (April 13, 2015): 541–69. http://dx.doi.org/10.1108/imds-10-2014-0284.
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Purpose – Enterprise resource planning (ERP) is intended to integrate all facets of a company’s business operations encompassing production planning, material purchasing, inventory control, logistics, accounting, finance, marketing, and human resource management by creating a single depository of the database that can be shared by the entire organization and its trading partners. Through an empirical study, the purpose of this paper is to identify a multitude of drivers that facilitate or hinder the implementation of ERP in business environments. Also, this paper determines its role in supply chain operations and assesses its impact on supply chain performances. Design/methodology/approach – To examine which factors drive the ERP adoption and gauge the level of the ERP success, the authors develop a research framework based on two well-known theories in the strategy literature: a contingency theory; and a resource-based view of the firm. This research framework allowed us to develop a series of hypotheses regarding the use of ERP for strategic sourcing. To test hypotheses, the authors carried out the study in three phases: a pre-pilot; a pilot; and a large-scale questionnaire survey. In the pre-pilot phase, the authors generated potential survey items through theory development and a literature review. In the pilot phase, the authors develop a structural equation model along with the identification of valid constructs based on structural interviews and the Q-sort method. At the last stage, the authors conducted a large-scale survey via mail questionnaires primarily targeting the Korean industry comprised of manufacturers and their suppliers and customers. Findings – The firm’s ERP adoption and implementation decision is mainly affected by its internal environment. Defying the conventional wisdom, the firm’s external environment has little influence on its decision to adopt and implement ERP. However, through the mediating role of an internal environment, an external environment still indirectly influences the ERP adoption and ERP implementation decision. Also, the authors found that ERP could enhance the ERP adopter’s organizational capability and supplier capability. Originality/value – This study is one of a few attempts to investigate the role of ERP in the supply chain and identify important determinants influencing the ERP adoption and implementation decisions. Especially, in contrast with the previous literature which often gauged the benefits of ERP from an ERP adopter’s standpoint, this paper is one of the few to assess the benefits of ERP from the ERP adopter’s supply chain partners standpoints. Also, it is one of the first to assess the impact of ERP on supplier capability, organizational capability, and customer value.
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Belkaid, Fayçal, Farouk Yalaoui, and Zaki Sari. "An Efficient Approach for the Reentrant Parallel Machines Scheduling Problem under Consumable Resources Constraints." International Journal of Information Systems and Supply Chain Management 9, no. 3 (July 2016): 1–25. http://dx.doi.org/10.4018/ijisscm.2016070101.
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In present manufacturing environment, the reentrant scheduling problem is one of the most important issues in the planning and operation of production systems. It has a large scope such as capacity distribution and inventory control. On the other hand, the markets are very competitive; it is a critical requirement of operational management to have effective management of resources (consumable and renewable) so as to achieve optimal production plan. This study considers a reentrant parallel machines scheduling problem with consumable resources. Each job consumes several components and must be processed more than once in a stage composed of identical parallel machines. The resources availability, jobs assignment and sequencing at each cycle and are considered and optimized simultaneously. On the basis of this representation, a MILP model is developed. Thus, that MILP model can be used for the problem in order to find the exact solution. Since, this problem is clearly NP-hard, and optimal solutions for large instances are highly intractable, a genetic algorithm is developed to obtain near-optimal solution. Then, an improvement phase based on different local search procedures are performed and examined to generate better solutions. The system performances are assessed in terms of measures such as the solution quality and the execution time. The effectiveness of the proposed metaheuristic is examined based on comparative study. The simulation results demonstrate that the presented algorithm is able to find an optimal solution for small-sized problems and can effectively find a near optimal solution for large-sized problems to minimize the makespan of the considered problem.
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Paul, Brian K. "Production planning and inventory control." Journal of Manufacturing Systems 15, no. 4 (January 1996): 294. http://dx.doi.org/10.1016/0278-6125(96)84554-7.
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Cheaitou, Ali, Christian van Delft, Yves Dallery, and Zied Jemai. "Two-period production planning and inventory control." International Journal of Production Economics 118, no. 1 (March 2009): 118–30. http://dx.doi.org/10.1016/j.ijpe.2008.08.031.
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Powell, Paul C., and Charles I. Zigelman. "Formal Manufacturing Approaches to Modern Shipbuilding." Journal of Ship Production 5, no. 03 (August 1, 1989): 188–99. http://dx.doi.org/10.5957/jsp.1989.5.3.188.
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This paper describes how a formal manufacturing environment, as defined by the American Production and Inventory Control Society (APICS), compares with modern shipbuilding techniques. Formal manufacturing, through a product-based build strategy, provides a framework for integrating contract scheduling, design development, material purchasing, inventory control, production capacity planning, and production control. An understanding of formal manufacturing provides a foundation for understanding modern shipbuilding techniques.
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Naderi, Bahman, Hamed Pouralikhani, and Mohammad Mohammadi. "Joint production planning, pricing and inventory control for deteriorating items." International Journal of Services and Operations Management 28, no. 3 (2017): 279. http://dx.doi.org/10.1504/ijsom.2017.10007865.
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Pouralikhani, Hamed, Mohammad Mohammadi, and Bahman Naderi. "Joint production planning, pricing and inventory control for deteriorating items." International Journal of Services and Operations Management 28, no. 3 (2017): 279. http://dx.doi.org/10.1504/ijsom.2017.087286.
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Gao, Chunyan, Yao Wang, Liang Xu, and Yi Liao. "Dynamic Pricing and Production Control of an Inventory System with Remanufacturing." Mathematical Problems in Engineering 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/789306.
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We consider optimal pricing and manufacturing control of a continuous-review inventory system with remanufacturing. Customer demand and product return follow independent Poisson processes. Customer demand is filled by serviceable product, which can be either manufactured or remanufactured from the returned product. The lead times for both manufacturing and remanufacturing are exponentially distributed. The objective is to maximize the expected total discounted profit over an infinite planning horizon. We characterize the structural properties of the optimal policy through the optimality equation. Specifically, the optimal manufacturing policy is a base-stock policy with the base-stock level nonincreasing in the return inventory level. The optimal pricing policy is also a threshold policy, where the threshold level is nonincreasing in the return inventory level.
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Sun, Xiaochen, Mengmeng Wu, and Fei Hu. "Two-Period Inventory Control with Manufacturing and Remanufacturing under Return Compensation Policy." Discrete Dynamics in Nature and Society 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/871286.
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As an effective way of decreasing production cost, remanufacturing has attracted more and more attention from firms. However, it also brings many difficulties to firms, especial when firms remanufacture products which they produce. A primary problem for the case is how to acquire the used product sold by the firm itself. In this paper, we consider a return compensation policy for acquiring used product from customers. Under this policy, the return quantity of used product is a proportion of demand. We study an inventory replenishment and production planning problem for a two-period inventory system with dependent return and demand. We formulate the problem into a three-stage stochastic programming problem, where the firm needs to make decisions on the replenishment quantity of new raw material inventory in each period and the production quantities of manufacturing and remanufacturing ways. We give the optimal production policy of manufacturing and remanufacturing ways for the realized demand and prove the objective function for each stage to be concave in the inventory replenishment quantity. Moreover, we prove that the basic inventory policy is still optimal for each period and give the analytical conditions of the optimal inventory levels which are unrelated to acquisition price. Finally, we investigate numerical studies to analyze managerial insights.
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Takahashi, Katsuhiko, and Nobuto Nakamura. "Production planning and inventory control in a company manufacturing PC parts: A case study." Production Planning & Control 12, no. 3 (January 2001): 296–308. http://dx.doi.org/10.1080/095372801300107842.
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Dawes, T. B., and N. J. Boughton. "Improved production planning and control via low-cost prototype solutions." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 216, no. 4 (April 1, 2002): 649–53. http://dx.doi.org/10.1243/0954405021520184.
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This paper describes prototype management information systems used to support the transformation of a job-orientated manufacturer into a preferred supplier to the Aerospace Industry. As a jobbing manufacturer the company excelled at reactive management, responding rapidly to short lead-time demands. This approach, however, was inappropriate for the increasingly competitive production of steady state orders (‘runners’) and spare parts orders (‘repeaters’). As a result, the company experienced falling delivery performances and increasing work-in-progress, inventory levels and overtime requirements. Furthermore, there was only a modest understanding of customer requirements due to the poor visibility of the order book. There was also little awareness of internal and supplier capabilities, and the planning and control systems were non-existent, relying heavily on senior management expertise. The company, however, was reluctant to invest in new management information systems, aware of the risk of expensive systems unsuited to the company requirements. Instead, prototype solutions were developed using low-cost and readily available software, which provided the stability and visibility that the company required and formed the basis of a more long-term understanding of planning and control requirements. This paper describes the iterative prototype developments to support the new company infrastructure and quantifies the benefits that were achieved through their introduction.
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Vollmer, T., B. Zhou, T. Heutmann, R. Kiesel, and R. Schmitt. "Entwicklung der Produktions-IT*/Roadmap for production planning and control." wt Werkstattstechnik online 107, no. 11-12 (2017): 858–62. http://dx.doi.org/10.37544/1436-4980-2017-11-12-82.
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Automatisierung, intelligente Produktionsplanung und Monitoring sind gängige Anwendungen – daher sind Informationstechnologie (IT)-Systeme aus der Produktion nicht mehr wegzudenken. Dieser Beitrag gibt einen Überblick über die aktuellen Entwicklungen und Innovationen im Bereich der Produktions-IT (zum Beispiel Enterprise Resource Planning ERP, Manufacturing Excecution Systems MES und Computer Aided Quality Assurance CAQ), nennt Anwendungsgebiete und beleuchtet deren Potenziale anhand konkreter Fallbeispiele. Es werden darüber hinaus die Herausforderungen diskutiert, welche es im Rahmen von Industrie 4.0 zu meistern gilt. IT systems nowadays are common in manufacturing environments for applications such as automation, intelligent production planning or monitoring. This article provides an overview about current developments and innovations in production planning and control (e.g. ERP, MES; CAQ), mentions promising areas for application and evaluates their potential referring to case studies. Based on this, challenges coming along with changes within the broad field of Industry 4.0 are discussed.
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Kibouka, Guy-Richard, Donatien Nganga-Kouya, Jean-Pierre Kenne, Victor Songmene, and Vladimir Polotski. "Production Planning of a Failure-Prone Manufacturing System under Different Setup Scenarios." Journal of Applied Mathematics 2016 (2016): 1–15. http://dx.doi.org/10.1155/2016/4930817.
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This paper presents a control problem for the optimization of the production and setup activities of an industrial system operating in an uncertain environment. This system is subject to random disturbances (breakdowns and repairs). These disturbances can engender stock shortages. The considered industrial system represents a well-known production context in industry and consists of a machine producing two types of products. In order to switch production from one product type to another, a time factor and a reconfiguration cost for the machine are associated with the setup activities. The parts production rates and the setup strategies are the decision variables which influence the inventory and the capacity of the system. The objective of the study is to find the production and setup policies which minimize the setup and inventory costs, as well as those associated with shortages. A modeling approach based on stochastic optimal control theory and a numerical algorithm used to solve the obtained optimality conditions are presented. The contribution of the paper, for industrial systems not studied in the literature, is illustrated through a numerical example and a comparative study.
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He, Longfei, Huangli Peng, Zhanwen Niu, Haili Lu, and Xiangli Xie. "Optimal Production Planning for Manufacturing Systems with Instantaneous Stock-Dependent Demand and Imperfect Yields." Mathematical Problems in Engineering 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/271902.
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We consider an EPL model like manufacturing system in presence of production imperfectness and stock-demand dependence simultaneously. During the production process, the system can evolve from in-control state into out-of-control state at any random time, after which the defective items will be generated likely causing quantity loss. Meanwhile, the market demand rate is instantaneously dependent on the timely holding inventory. The manufacturer has to determine his production run length and cycle time by taking into account possible imperfect production, stock-dependent demand, and inventory holding capacity bound. We empolder a model to capture this problem and develop computational algorithm to solve it. We further conduct numerical studies to validate our model and solving method. Sensitivity analyses are reported to show the effect of parameters on the system performance.
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Johnson, Fashaya, and Thanasak Ruankaew. "A Study of Inventory Control Systems by Jamaican SMEs in Retail and Manufacturing/Distribution Industries." International Journal of Business and Management 12, no. 8 (July 18, 2017): 1. http://dx.doi.org/10.5539/ijbm.v12n8p1.
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It is widely accepted that firms can achieve effective inventory management with the right strategies. This study analyzed the inventory control strategies of small to medium-sized enterprises (SMEs) in Jamaica. The objectives of the study were to identify whether these companies used the “best practices” in inventory control, the effects of their strategies on business performance, and the factors that affected the development of their strategies. The study employed a methods triangulation approach that included case studies, interviews, questionnaires, and observation with a focus on twelve inventory-intensive SMEs in retail and manufacturing/distribution industries. The SMEs were found to use common inventory control strategies such as stock counts, Enterprise Resource Planning (ERP) systems, forecasting, and inventory classification.The findings of this study support institutional theory and isomorphism because it was discovered that due to external influences, firms studied within the same industry adopted similar strategies, and even in different industries, the ‘best practices’ in inventory control were the same. The drivers of this isomorphic organizational behavior were found to be costs, government regulations, and imitation of successful strategies in other companies. The SMEs surveyed were classified as semi-automated due to limited automation and confirmed success in their inventory management. The study validates the existence of institutionalism among SMEs in the retail as well as manufacturing/distribution industries in Jamaica. A broader scope examining larger firms and other industries would further identify isomorphic organizational behavior across the Jamaican business landscape. For future research, an investigation of financial performance and changes and adoption of new inventory control strategies of Jamaican SMEs is recommended to achieve a broad view of inventory management on the financial performance of Jamaican SMEs.
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Karim, Norazira Abd, Anuar Nawawi, and Ahmad Saiful Azlin Puteh Salin. "Inventory management effectiveness of a manufacturing company – Malaysian evidence." International Journal of Law and Management 60, no. 5 (September 10, 2018): 1163–78. http://dx.doi.org/10.1108/ijlma-04-2017-0094.
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Purpose The purposes of this study are to examine the standard operating procedure (SOP) on inventory management practices, identify any weaknesses in inventory management and examine its impact on the performance of the company. Inventory management is important because it ensures smooth production and prevents loss of sales because of stockout and/or customer dissatisfaction. Design/methodology/approach This study selects one manufacturing company as a case study and uses the mixed data collection method of document analysis and observation. The research analysis was conducted by using COSO Internal Control – Integrated Frame work 2013 as guidance. Findings It is revealed that a company practices risky inventory management in keeping stock, as it relies heavily on third-party warehousing services beyond the control of the company. This study also reveals that the SOPs are too general and lack specificity. However, poor inventory management has a modest influence on the financial performance of the company. Research limitations/implications In completing this study, some limitations are experienced such as changes on the management structure of the company as well as the department itself. Frequent changes on several procedures also may influence this study to obtain accurate information. In addition, some highly confidential documents such as detailed information and minutes from management meeting were not permitted to be examined. Practical implications This study provides recommendations to improve weak internal controls particularly on SOPs, so that fraud and mismanagement opportunities can be reduced. Originality/value This study makes an original contribution, as it enhances the theoretical and practical understanding on inventory control and management systems, particularly for a manufacturing company in the emerging market environment. In addition, it examines various internal financial reports and directly observes the process in supply change management, which are generally difficult to be accessed by academic researchers.
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Ashayeri, J., R. J. M. Heuts, H. G. L. Lansdaal, and L. W. G. Strijbosch. "Cyclic production–inventory planning and control in the pre-Deco industry: A case study." International Journal of Production Economics 103, no. 2 (October 2006): 715–25. http://dx.doi.org/10.1016/j.ijpe.2006.02.001.
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Hajej, Zied, Aime C. Nyoungue, Aminu S. Abubakar, and Kammoun Mohamed Ali. "An Integrated Model of Production, Maintenance, and Quality Control with Statistical Process Control Chart of a Supply Chain." Applied Sciences 11, no. 9 (May 5, 2021): 4192. http://dx.doi.org/10.3390/app11094192.
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This article investigates integrated maintenance, production, and product quality control policy for a supply chain consisting of a single machine producing only one type of product, a main storage warehouse, and multi-purchases warehouses. The variation of the production rate and its use over time impact the manufacturing system’s degradation degree. Hence, the machine is subject to a random failure that directly affects the quality of the products. The goal of this study is to establish an optimal production and delivery planning with inventory management considering the production, holding, and delivery costs, and then an appropriate maintenance strategy, considering the influence of the production rate on the system degradation. Also, we provide a quality control policy to reduce the proportion of non-compliant products by using the statistical process control chart to forecast production. Forecasting the production aims to satisfy the varying demands during a finite horizon under service and quality levels. Numerical examples are presented to justify the effectiveness of the suggested strategy.
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Chen, Ya Rong, Hong Ming Zhou, Zai Lin Guan, and Xin Yu Shao. "Model of Production Planning and Control with the Integration of WLC and TOC Mechanism." Advanced Materials Research 433-440 (January 2012): 2230–36. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.2230.
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In the mixed-production context of make-to-stock (MTS) and make-to-order (MTO), the manufacturing system becomes more complex for comprehensive balance of multiple objectives, including resource utilization, work in process (WIP), on-time delivery and throughput. To deal with this complexity, a dynamic production plannning and control (PPC) model with the hybrid of workload control (WLC) and theory of constraint (TOC) is presented. While the proposed three-tiered hierarchy construction model is relatively similar to WLC model, but the way in which the workloads are controled has changed dramatically. The order acceptance deals with issues of order review and delivery setting in order to balance the overall resource capacity and requirements that is necessary for on-time delivery. The order release deals with issues of release mechanisms and rules in order to control the flow of work to the production floor that is necessary for WIP and resource utilization.And the scheduling deals with issues of bottleneck identicification and task sequencing in order to protect the bottleneck capacity that is necessary for throughput.
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Коновалова, Галина, and Galina Konovalova. "NEW CONCEPT IN RESOURCE REQUIREMENTS PLANNING UNDER CONDITIONS OF DIGITAL PRODUCTION." Bulletin of Bryansk state technical university 2019, no. 8 (September 9, 2019): 71–76. http://dx.doi.org/10.30987/article_5d6cbe43291aa3.31767016.
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Now at many enterprises the following problem takes place which consists in the mismatch of management decision-making to the required production state stipulating high production costs, a larger duration of production cycle and failure to comply with order terms. A digital production concept is quite a bit of interest in industrial enterprises since it not only contributes to their motion to a new level, but changes completely. But up till now there are no real examples of introduction that is conditioned by an insufficient methodological development of its basic constituents particularly in production execution control and re-source requirement planning. To solve this problem the author offers the peculiarities investigation of dynamic heterogeneous production, its execution control and resource requirement planning. As a result on the basis of the universal system for execution control of dynamic heterogeneous production there is developed a system for the execution planning of resource requirements. This system differs greatly from the existing one in theory and a system for the resource requirement calculation used in practice on the basis of the plan of product manufacturing (volume method).
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Ni, Jun, Wen Cheng Tang, and Yan Xing. "Computer-Aided Production Control of Automobile Injection Molds Based on Process Perception." Advanced Materials Research 655-657 (January 2013): 1682–86. http://dx.doi.org/10.4028/www.scientific.net/amr.655-657.1682.
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This paper focuses on major issues in production process control of automobile injection molds based on process perception, such as manufacture resource perception, exchange in three-dimensional model (3D), production planning and scheduling, manufacture process planning (tool path and assembly sequence). After a survey of them, we propose a method for the construction of computer-aided production process control platform. 1) Define the networked manufacture semantic/data model and an encapsulating approach to efficiently manipulate manufacturing resources. 2) Develop structural multi-view data models for the design information of automobile molds transferring in 3D. 3) Propose a production planning and scheduling arithmetic. 4) Develop a variation accumulation model for manufacturing process control. 5) Integrate the tool path and assembly sequence planning of injection molds by using a variation accumulation model. 6) Integrate the existing and/or developed models to the new system. Finally we introduce a validation method and discuss the prospect to the accurate control of production process.
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Douraid, Abdessamad, Hamid Ech-Cheikh, Khalid El Had, and Mohamed Laradi. "Comparing continuous control policies by modeling and simulation of the procurement process." International Journal of Engineering & Technology 9, no. 1 (February 18, 2020): 211. http://dx.doi.org/10.14419/ijet.v9i1.29949.
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Inventory management is a challenging problem area in supply chain management and companies need to have inventories in warehouses in order to satisfy customer's needs. Meanwhile, these inventories have holding costs and this is a frozen fund that can be lost. Therefore, the task of inventory management is to find the right quantity of inventories that will fulfill the demand with the right price, avoiding overstocks. The aim of this paper is to carry out a comparing study of continuous inventory control policies in a stochastic environment of demand and lead time, in order to find out the impacts of the decision variables of each inventory control policy. For this purpose, the discrete event simulation approach has been chosen to generate various scenarios of inventory control policies of the procurement process by taking into account the production planning of the manufacturing company. The comparison of these configurations based on the essential key performance indicators of the supply chain, namely the cost and service level.
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Njike, Achille N., Robert Pellerin, and Jean Pierre Kenne. "Maintenance/production planning with interactive feedback of product quality." Journal of Quality in Maintenance Engineering 17, no. 3 (August 16, 2011): 281–98. http://dx.doi.org/10.1108/13552511111157399.
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PurposeThis paper seeks to develop an optimal stochastic control model where interactive feedback consists of the quantity of flawless and defective products. The main objective of this study is to minimize the expected discounted overall cost due to maintenance activities, inventory holding and backlogs.Design/methodology/approachThe model differs from similar research projects in that, instead of age‐dependent machine failure, it considers only defective products as feedback into the optimal model for maintenance and production planning. In this paper a near optimal control policy of the system through numerical techniques is obtained.FindingsIn this paper, a new model in which the system's retroaction is the quantity of defective products is presented, considering that defective products are a consequence of global manufacturing system deterioration. Instead of taking into account machine failure and human error separately, it considers a defect in product as being the consequence of a combined failure; this consideration allows one to be more realistic by merging all failure parameters into a single one. A new stochastic control model, which focuses on defective products, inventory, and backlog, has been developed.Research limitations/implicationsThis approach extended the concept of hedging point policy to the quantity of defective products combined with preventive and corrective maintenance strategies. The control policy obtained has a bang bang structure and is completely known for given parameters.Originality/valueThe integration of maintenance and production strategies has been mainly focused on the machine. Many research projects have been focusing on the age when dealing with machine failure. It is considered as the main target of the cost reduction in maintenance engineering departments. The originality of this paper is the taking into account of all operational failures into the same optimization model. It brings a value added to high level of maintenance and for operation managers who need to consider all failure parameters before taking decisions related to cost.
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Xu, Jian Ping, and Yu Luo. "Control Model of Production Process Based on Petri Net for Large-Scale and Complex Products." Applied Mechanics and Materials 427-429 (September 2013): 1419–23. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.1419.
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Based on analysis the production characteristics of large-scale and complex products and the effects of materials and production capacity on production planning, this paper proposes a control model of large-scale and complex products production process based on Petri network associated with final assembly schedule (FAS). The model thinks about the requirement of materials and production capacity related to FAS, then we can trigger the relevant assembly operations if the state of resource place is able to match the weight of resource place operation. Through the application of Petri network control model, the effectiveness of production process control and decision-making and the feasibility of production planning are increased, at the same time manufacturing resources can be used effectively and well-balanced.
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Feng, Ge Li. "Research of Cloud Manufacturing Technology in the Development of Digital Intelligent Production Control Platform." Applied Mechanics and Materials 644-650 (September 2014): 3241–44. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.3241.
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This paper focuses on the application of cloud manufacturing technology in the development of digital intelligent production control platform. Combined with the characteristics of NC machine shop, using the cloud manufacturing technology, the intelligent scheduling of production plan based on the theory of constraints, and multi-objective scheduling optimization technology, developed the target task balance optimization, manufacturing resource planning, equipment load balance module etc., achieved tracking and monitoring of the status of schedule, completion, production etc., ensure the statistics and analysis of production data correct and complete, and provide the basis for evaluation of production condition.
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Madan, A. K. "Flexible Manufacturing System and its feasibility in context of Manufacturing Industries." INTERNATIONAL JOURNAL OF ADVANCED PRODUCTION AND INDUSTRIAL ENGINEERING 5, no. 2 (April 5, 2020): 73–78. http://dx.doi.org/10.35121/ijapie202004249.
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Highly automated machine cell which is based on the principle of Group technology, comprising a group of processing work station for the production is referred to as Flexible Manufacturing System (FMS), where different processes like material handling, storage system, operation, inspection, etc., are interconnected by the automatic control unit. The concept of FMS (system 24) was first introduced in the mid-1960s to form a system that can operate 16 hours a day without any human attendant. The reason behind selecting this area for research is that there are problems like more lead time, inefficient utilization of machines, more space requirement in a machine shop, and high inventory level in the current manufacturing industry. All these problems can be solved by introducing automation in a manufacturing system, which can be done through FMS. FMS provides better resource utilization, high-quality control, low-cost product, a high rate of production, reduced direct labor requirement, and high labor productivity. Operational issues related to FMS faced by industries are machine loading, scheduling and dispatching, part routing, tool management, and part grouping so there is much scope of future development of FMS if all these issues are resolved.
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Leiden, Alexander, Stefan Kölle, Sebastian Thiede, Klaus Schmid, Martin Metzner, and Christoph Herrmann. "Model-based analysis, control and dosing of electroplating electrolytes." International Journal of Advanced Manufacturing Technology 111, no. 5-6 (October 17, 2020): 1751–66. http://dx.doi.org/10.1007/s00170-020-06190-0.
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Abstract Controlling and dosing electrolytes is a key challenge in the operation of electroplating process chains. Electrolyte components are continuously degraded and dragged out during the production process. This process is influenced by a variety of internal and external factors such as process parameters, the electrolyte itself, anodes, the substrates and the production environment. The exact analytical measurement of the electrolyte composition requires extensive analytical equipment and typically cannot be completely realized within an industrial plating company. Therefore, this paper presents a model-based approach, integrated in a cyber-physical production system, for controlling and dosing electrolytes. A mathematical resource flow model is the basis for a dynamic agent-based simulation. This model uses available data from the manufacturing execution system and enterprise resource planning system to model the current composition of the electrolyte. The approach is successfully validated for two different electrolyte substances at an industrial acid zinc–nickel barrel plating process chain for automotive parts.
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Liu, X. "A polynomial time algorithm for production planning with bounded inventory." International Journal of Advanced Manufacturing Technology 39, no. 7-8 (October 27, 2007): 774–82. http://dx.doi.org/10.1007/s00170-007-1246-y.
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Serruys, Wim. "Adaptive Control in CNC Sheet Metal Processing." Key Engineering Materials 473 (March 2011): 13–20. http://dx.doi.org/10.4028/www.scientific.net/kem.473.13.
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Three different and complementary ways of adaptive control are presented, each working on a different time scale. All three of them are made possible due to evolutions and developments in CNC controls. The first and most popular way of adaptive control is adaptive process control. Since the process variables in sheet metal equipment change significantly in milliseconds, the control loop must also perform on a sub second time scale. The second adaptive loop is adaptive production control. Modern CNC controls know what they are manufacturing and talk with higher production software. Instead of just executing a planning that came top down, the CNC has enough knowledge of its environment that it can propose an intelligent job sequence and hence react more effectively on unforeseen situations. These adaptive loops perform on a time scale of hours and days. The third adaptive loop is adaptive resource control. To produce sheet metal parts, we need several kinds of resources: human resources, material, consumables, energy and equipment. CNC sheet metal equipment is a considerable investment. However most production managers do not know how effective their resources are being used. By applying the principles of overall equipment effectiveness, we can close the resource control loop. This loop performs on a time scale of weeks and months.
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Kibouka, Guy Richard, Donatien Nganga-Kouya, Jean-Pierre Kenné, Vladimir Polotski, and Victor Songmene. "Maintenance and setup planning in manufacturing systems under uncertainties." Journal of Quality in Maintenance Engineering 24, no. 2 (May 14, 2018): 170–84. http://dx.doi.org/10.1108/jqme-11-2016-0069.
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PurposeThe purpose of this paper is to find the optimal production and setup policies for a manufacturing system that produces two different types of parts. The manufacturing system consists of one machine subject to random failures and repairs. Reconfiguring the machine to switch production from one type of product to another generates a non-production time and a significant cost.Design/methodology/approachThis paper proposes an approach based on the development of optimal production and setup policies, taking into account the possibilities of undertaking the setup for all modes of the machine, and covering them at the end of setup. New optimality conditions are developed in terms of modified Hamilton-Jacobi-Bellman (HJB) equations and recursive numerical methods are applied to solve such equations.FindingsThe proposed approach led to determine more realistic production rates of both parts and setup sequences for the different modes of the machine that significantly influence the inventory and the system capacity. A numerical example and sensitivity analysis are used to determine the structure of the optimal policies and to show the helpfulness and robustness of the results obtained.Practical implicationsFollowing the steps of the proposed approach will provide the control policies for industrial manufacturing systems with setup permitted at all modes of the machine, and when the setup does not necessarily restore the machine to its operational mode. The proposed optimal policy takes into account the stochastic nature of the machine mode at the end of setup and we show that ignoring it leads to non-natural policies and underestimates significantly the safety stock thresholds.Originality/valueConsidering the assumptions presented in this paper leads to a new structure of the control laws for the production planning of manufacturing systems with setup.
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dos Anjos, Fernando Elemar Vicente, Luiz Alberto Oliveira Rocha, Rodrigo Pacheco, and Débora Oliveira da Silva. "Teaching-Learning Strategies to Production Planning and Control Concepts: Application of Scenarios to Sequencing Production with Virtual Reality Support." International Journal of Learning, Teaching and Educational Research 20, no. 8 (August 30, 2021): 108–25. http://dx.doi.org/10.26803/ijlter.20.8.7.
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This paper aims to present scenarios to be applied in higher education to the theme of production planning and control, addressing factors of the production system and indicators arising from this process and the application of virtual reality to support the process. The applied method combines the development of six scenarios for virtual reality application and the discussion about the impacts in indicators from the production planning and control, for example, inventory in the process, manufacturing lead-time, use of equipment, and punctual delivery attendance. Findings revealed that the teaching-learning process of production planning and control, when applied through scenarios, generates opportunities for students to learn the impact in the indicators. The virtual reality in this environment supports creating differentiated teaching-learning environments to generate the most significant knowledge for students which positively impacts the future in the world of work. In addition, it allows people involved in the teaching-learning processes of production engineering to apply the concepts presented in the sequencing process, lean about the impacts of decisions on production sequencing indicators and appreciate the support of virtual reality to generate an environment more cognitive for students.
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Coker, Joakim, and Petri Helo. "Demand-supply balancing in manufacturing operations." Benchmarking: An International Journal 23, no. 3 (April 4, 2016): 564–83. http://dx.doi.org/10.1108/bij-04-2014-0028.
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Purpose – Demand-supply balancing (DSB) strategies and approaches are becoming increasingly important for manufacturing and operations. The purpose of this paper is to analyze practices of manufacturing companies and how they balance demand/supply in operations. Design/methodology/approach – Questionnaire-based interview has been conducted at 20 largest companies having manufacturing/operations in Finland. Findings – Supply chain structure, flexibility, demand management, capacity management, inventory management and revenue management are perceived as key practices for DSB. Research limitations/implications – The results show importance of supply chain-related parameters such as supply chain flexibility and inventory management in addition to production planning and control. The study is delimited to Finland companies but it gives an idea how decision making in operations generally can be perceived. Practical implications – DSB actions should be connected to operations strategy and long-term planning of the company. Originality/value – DSB is a strategic-level operations question which has an impact on several functions of supply chain.
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Karima, Halim Qista, and Fauzan Romadlon. "Optimizing the Preventive Maintenance Scheduling Based on Dynamic Deterministic Demand in The Cement Manufacturing." Jurnal Ilmiah Teknik Industri 20, no. 1 (July 2, 2021): 109–18. http://dx.doi.org/10.23917/jiti.v20i1.13894.
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Preventive maintenance is a planned and scheduled maintenance method that is carried out before a machine failure occurs. The maintenance schedule can be determined based on experience, historical data, or recommendations. Selecting the maintenance schedule greatly affects the production system. The Clin machine in cement manufacturing has an important role in the cement production process. During treatment, the client machine cannot produce clinker, so it is necessary to plan a production system to meet the demand. This paper aims to design an optimization model for determining the preventive maintenance schedule for cement manufacturing by considering the production process and inventory control. Mathematical models with binary options are used to model that system. The model supports showing the optimal preventive maintenance schedule for the ciln machines with a binary decision each period. This mathematical model describes the interaction of production planning, inventory control, and scheduling of total maintenance on a kiln machine. The goal of this system is to determine the optimal preventive maintenance schedule with minimum costs. In addition, the system's output is the optimal production and inventory decision rule for each period. Based on the analysis and simulation of the model with the deterministic and dynamic demand, the optimal preventive maintenance schedule is in the 9th and 21st periods. The kiln machines are maintained every July with minimal costs. The model scenario shows the interaction of the variables and the sensitivity of the production capacity and demand to the decision rule of the variable.
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Rosyadi N R, Imron, and Matsaini. "APPLICATION of MANUFACTURING SYSTEMS TO CALCULATE PRODUCTION TARGET NEEDS PRIDE CHAIR DESIGN." Tibuana 4, no. 01 (January 31, 2021): 23–27. http://dx.doi.org/10.36456/tibuana.4.01.3173.23-27.
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A process in a company or industry will never be separated from the name of the production, production is an important part of the running
of a company or industry. This research aims to provide input to the company to be able to
calculate the need for future production targets based on previous production data so that the company can prepare all production needs.
Production can also be interpreted as an activity to increase the use of goods and
benefits in fulfilling daily activities. In practice, a person or business entity that
carries out production activities is called a producer. Producers produce goods to be sold to meet the needs of others and
theirindividuals. Production activities, there is an activity of processing raw materials into
semi-finished materials, and then proceeding from semi-finished materials to finished materials. Therefore, a separate focus is
needed to determine the amount of production, output, and input that is done. One thing that
can be done is knowing up to calculating the needs of all processes to the production target. While the focus of production activities from
the production system to inventory is First, forecasting is important and foremost. Second,
inventory control is very important in the production system for inventory, especially in planning the purchase and delivery of raw
materials and components. Third, the production of large quantities of inventory
items is more structured.
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Hagazi, Hadgu Haftu, and Xiao Jun Guo. "Implementation of Advanced Planning and Scheduling System in Manufacturing Industries." Advanced Materials Research 718-720 (July 2013): 2485–90. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.2485.
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Advanced planning and scheduling system's (APS) implementation and operation process for elaborating a production schedule in a production environment similar to what is found in industries. The main characteristics and restrictions of a real production environment were thus considered, such as multi-level structure products, production routes with sequential, parallel and alternative operations, more than one resource per operation and alternative resources. In terms of results, this study provides an overview of the main steps involved in the implementation and operational process of an APS system in an industry, providing an important indicator for choosing and using this sort of system. The expectations of APS systems have been high, both from academia and industry in the subject area of manufacturing planning and control. Relative the massive interest there has not been much written about how APS systems are used in practice and what effects an APS approach really results in.
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Wang, Guo Lei, Lin Lin, and S. S. Zhong. "Task-Oriented Hierarchical Planning and Scheduling for Discrete Manufacturing Enterprise." Applied Mechanics and Materials 10-12 (December 2007): 114–20. http://dx.doi.org/10.4028/www.scientific.net/amm.10-12.114.
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Considering the complexity and uncertainty of production planning in large manufacturing enterprise, hierarchical planning and scheduling is an effective solution to overcome the difficulty of scheduling both in long term and short term. Choosing a discrete task-oriented manufacturing factory as prototype, a hierarchical planning and scheduling model is developed, which consists of key resource leveling, detailed operation scheduling and workshop control. The upper level optimizes the bottleneck resource allocation based on aggregate networks of product, to make a feasible long term plan; short term schedule is then generated in medium level, using more detailed network; the schedule is finally executed in bottom level, which introduces a re-scheduling strategy to eliminate the plan error. To solve the model, the universal aggregate task network model and the algorithm for each level are researched. The simulation result demonstrated that the hierarchical method is valid and valuable in practice.
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Badiane, Abdoulaye, Sylvie Nadeau, Jean-Pierre Kenné, and Vladimir Polotski. "Optimizing production while reducing machinery lockout/tagout circumvention possibilities." Journal of Quality in Maintenance Engineering 22, no. 2 (May 9, 2016): 188–201. http://dx.doi.org/10.1108/jqme-04-2014-0015.
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Purpose – The optimization of production imposes a review of facility maintenance policies. Accidents during maintenance activities are frequent, sometimes fatal and often associated with deficient or absent machinery lockout/tagout. Lockout/tagout is often circumvented in order to avoid what may be viewed as unnecessary delays and increased production costs. To reduce the dangers inherent in such practice, the purpose of this paper is to propose a production strategy that provides for machinery lockout/tagout while maximizing manufacturing system availability and minimizing costs. Design/methodology/approach – The joint optimization problem of production planning, maintenance and safety planning is formulated and studied using a stochastic optimal control methodology. Hamilton-Jacobi-Bellman equations are developed and studied numerically using the Kushner approach based on finite difference approximation and an iterative policy improvement technique. Findings – The analysis leads to a solution that suggests increasing the “comfortable” inventory level in order to provide the time required for lockout/tagout activities. It is also demonstrated that the optimization of lockout/tagout procedures is particularly important when the equipment is relatively new and the inventory level is minimal. Research limitations/implications – This paper demonstrates that it is possible to integrate production, maintenance and lockout/tagout procedures into production planning while keeping manufacturing system cost objectives attainable as well as ensuring worker safety. Originality/value – This integrated production and maintenance policy is unique and complements existing procedures by explicitly accounting for safety measures.
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Ji, Zhi Gang, and Ling Xi Liu. "An Integrated Management Control Information System for Mine Production Based on Three-Tiered Structure." Applied Mechanics and Materials 34-35 (October 2010): 845–49. http://dx.doi.org/10.4028/www.scientific.net/amm.34-35.845.
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As the supporting means for the development of enterprise, the construction of management control information system requires to be improved and upgraded continually in accordance with the development of China mine enterprises. Facing to China mine enterprises, the management control information system of production and operation based on three-layer structure is an integrative solution by combining management and control. The three-layer structure includes Enterprise Resource Planning (ERP), Manufacturing Execution System (MES), and Process Control System (PCS). Composed by inter-related systems of PCS, MES and ERP, the comprehensive and automatic system architecture can integrate them as a whole through the promotion of control technology, computing technology, and optimization technology, and can achieve the comprehensive application of mine information, control effectively the operating costs in mine production, improve production and management efficiency, enhance the core competitiveness of enterprises, and enable the production and operation management of mine enterprises to make a substantial step up.
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Hafidi, Nouhayla, Abdellah El Barkany, Abderrahman El Mhamedi, and Morad Mahmoudi. "Integrated planning of production and maintenance for imperfect system with subcontracting strategies." International Journal of Engineering Business Management 12 (January 1, 2020): 184797902092978. http://dx.doi.org/10.1177/1847979020929783.
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The purpose of this article is to deal with subcontracting strategies in the context of production, maintenance and quality integration. We study the multi-item capacitated lot-sizing problem for a production system composed of a single machine. The production system is considered imperfect, producing both conforming and non-conforming items. However, the deterioration of the system is a function of the time and production rate, which affects the quality of the manufactured items. Consequently, a quality control strategy is established, the aim is to inspect, adjust and control the manufactured items. To solve our problem, an evolutive optimization approach is proposed, namely the genetic algorithm (GA). Then, in order to adjust the parameters of GA, we use the Taguchi method. This article is one of the few documents dealing with integrated production management, maintenance and quality under subcontracting constraints that takes into account the complex aspect of the multi-item manufacturing industry. Then, a sensitivity analysis is also carried out to illustrate the robustness of the proposed control policy. Finally, we compare our results with the literature to validate our approach and highlight the advantage of subcontracting in minimizing costs.
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Prandi, F., D. Magliocchetti, A. Poveda, R. De Amicis, M. Andreolli, and F. Devigili. "New Approach for forest inventory estimation and timber harvesting planning in mountain areas: the SLOPE project." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 10, 2016): 775–82. http://dx.doi.org/10.5194/isprsarchives-xli-b3-775-2016.
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Forests represent an important economic resource for mountainous areas being for a few region and mountain communities the main form of income. However, wood chain management in these contexts differs from the traditional schemes due to the limits imposed by terrain morphology, both for the operation planning aspects and the hardware requirements. In fact, forest organizational and technical problems require a wider strategic and detailed level of planning to reach the level of productivity of forest operation techniques applied on flatlands. <br><br> In particular, a perfect knowledge of forest inventories improves long-term management sustainability and efficiency allowing a better understanding of forest ecosystems. However, this knowledge is usually based on historical parcel information with only few cases of remote sensing information from satellite imageries. This is not enough to fully exploit the benefit of the mountain areas forest stocks where the economic and ecological value of each single parcel depends on singletree characteristics. <br><br> The work presented in this paper, based on the results of the SLOPE (Integrated proceSsing and controL systems fOr sustainable forest Production in mountain arEas) project, investigates the capability to generate, manage and visualize detailed virtual forest models using geospatial information, combining data acquired from traditional on-the-field laser scanning surveys technologies with new aerial survey through UAV systems. These models are then combined with interactive 3D virtual globes for continuous assessment of resource characteristics, harvesting planning and real-time monitoring of the whole production.
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Prandi, F., D. Magliocchetti, A. Poveda, R. De Amicis, M. Andreolli, and F. Devigili. "New Approach for forest inventory estimation and timber harvesting planning in mountain areas: the SLOPE project." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 10, 2016): 775–82. http://dx.doi.org/10.5194/isprs-archives-xli-b3-775-2016.
Full textAbstract:
Forests represent an important economic resource for mountainous areas being for a few region and mountain communities the main form of income. However, wood chain management in these contexts differs from the traditional schemes due to the limits imposed by terrain morphology, both for the operation planning aspects and the hardware requirements. In fact, forest organizational and technical problems require a wider strategic and detailed level of planning to reach the level of productivity of forest operation techniques applied on flatlands. <br><br> In particular, a perfect knowledge of forest inventories improves long-term management sustainability and efficiency allowing a better understanding of forest ecosystems. However, this knowledge is usually based on historical parcel information with only few cases of remote sensing information from satellite imageries. This is not enough to fully exploit the benefit of the mountain areas forest stocks where the economic and ecological value of each single parcel depends on singletree characteristics. <br><br> The work presented in this paper, based on the results of the SLOPE (Integrated proceSsing and controL systems fOr sustainable forest Production in mountain arEas) project, investigates the capability to generate, manage and visualize detailed virtual forest models using geospatial information, combining data acquired from traditional on-the-field laser scanning surveys technologies with new aerial survey through UAV systems. These models are then combined with interactive 3D virtual globes for continuous assessment of resource characteristics, harvesting planning and real-time monitoring of the whole production.
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Cao, Yan, Zhong Bao Qin, and Sen Cao. "Manufacturing Resources Optimal Selection and Rough Production Capability Estimation for Market-Driven Rapid Response Manufacturing." Advanced Materials Research 102-104 (March 2010): 946–50. http://dx.doi.org/10.4028/www.scientific.net/amr.102-104.946.
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Market-driven rapid response manufacturing demands manufacturing enterprises to increase their agility and robustness. This leads to more effective and efficient organization, management, planning and control of manufacturing resources in the manufacturing enterprises. In the paper, object-oriented method is adopted and UML is used to establish a manufacturing resource model. Then, all evaluation indices and corresponding hierarchical structure are established based on AHP. Then, the problem of rough capability estimation for Make-to-Order enterprises is described and discussed that deal with production orders of different delivery dates based on limited manufacturing resources. A rough production capability estimation system for Make-to-Order enterprises under limited manufacturing resources constraints is developed on Delphi 7 platform. The approach can be used to rapidly judge whether an enterprise has the capabilities needed to finish production orders on time, and to estimate a new order’s delivery date. The study of the paper lays the foundation for the future research of supply chain and distributed manufacturing.
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Reiff, Colin, Matthias Buser, Thomas Betten, Volkher Onuseit, Max Hoßfeld, Daniel Wehner, and Oliver Riedel. "A Process-Planning Framework for Sustainable Manufacturing." Energies 14, no. 18 (September 14, 2021): 5811. http://dx.doi.org/10.3390/en14185811.
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Process planning in manufacturing today focuses on optimizing the conflicting targets of cost, quality, and time. Due to increasing social awareness and subsequent governmental regulation, environmental impact becomes a fourth major aspect. Eventually, sustainability in manufacturing ensures future competitiveness. In this paper, a framework for the planning of sustainable manufacturing is proposed. It is based on the abstraction and generalization of manufacturing resources and part descriptions, which are matched and ranked using a multi-criteria decision analysis method. Manufacturing resources provide values for cost, quality, time and environmental impacts, which multiply with their usage within a manufacturing task for a specific part. The framework is validated with a detailed modeling of a laser machine as a resource revealing benefits and optimization potential of the underlying data model. Finally, the framework is applied to a use case of a flange part with two different manufacturing strategies, i.e., laser metal-wire deposition and conventional milling. The most influential parameters regarding the environmental impacts are the raw material input, the manufacturing energy consumption and the machine production itself. In general, the framework enabled the identification of non-predetermined manufacturing possibilities and the comprehensive comparison of production resources.