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Journal articles on the topic 'Production-Inventory Planning Problem'

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Published: 6 September 2023

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1

Lin, Jennifer, Henry C. J. Chao, and Peterson Julian. "Planning Horizon for Production Inventory Models with Production Rate Dependent on Demand and Inventory Level." Journal of Applied Mathematics 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/961258.

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This paper discusses why the selection of a finite planning horizon is preferable to an infinite one for a replenishment policy of production inventory models. In a production inventory model, the production rate is dependent on both the demand rate and the inventory level. When there is an exponentially decreasing demand, the application of an infinite planning horizon model is not suitable. The emphasis of this paper is threefold. First, while pointing out questionable results from a previous study, we propose a corrected infinite planning horizon inventory model for the first replenishment

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2

Silva Filho, Oscar S. "Production Planning Problem with Inventory Boundary Affected by Demand Uncertainty." IFAC Proceedings Volumes 33, no. 17 (2000): 651–56. http://dx.doi.org/10.1016/s1474-6670(17)39480-6.

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3

Filho, Oscar S. Silva. "A CONSTRAINED STOCHASTIC PRODUCTION PLANNING PROBLEM WITH IMPERFECT INFORMATION OF INVENTORY." IFAC Proceedings Volumes 38, no. 1 (2005): 121–26. http://dx.doi.org/10.3182/20050703-6-cz-1902.01504.

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4

Gang, Duan, Chen Li, Li Yin-Zhen, Song Jie-Yan, and Akhtar Tanweer. "Optimization on Production-Inventory Problem with Multistage and Varying Demand." Journal of Applied Mathematics 2012 (2012): 1–17. http://dx.doi.org/10.1155/2012/648262.

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This paper addresses production-inventory problem for the manufacturer by explicitly taking into account multistage and varying demand. A nonlinear hybrid integer constrained optimization is modeled to minimize the total cost including setup cost and holding cost in the planning horizon. A genetic algorithm is developed for the problem. A series of computational experiments with different sizes is used to demonstrate the efficiency and universality of the genetic algorithm in terms of the running time and solution quality. At last the combination of crossover probability and mutation probabili

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Liu, Guo Li, Jun Zhao, and Wei Wang. "Optimal Planning for Product Blending." Advanced Materials Research 339 (September 2011): 358–61. http://dx.doi.org/10.4028/www.scientific.net/amr.339.358.

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This paper deals with the product blending problem originating from the production system of a large typical oil refinery. A deterministic mixed integer programming model is proposed. The objective is to make an effective production-inventory plan for product blending unit (PBU) in order to meet the demand of product oil with no backlogging allowed and minimize the total costs, that is, the sum of purchasing, production, inventory and setup costs. The constraints related to material balance, different capacities and different production schemes are considered. A numerical example is subsequent

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Gligoric, Zoran, Cedomir Beljic, Branko Gluscevic, and Cedomir Cvijovic. "Underground Lead-Zinc Mine Production Planning Using Fuzzy Stochastic Inventory Policy / Planowanie Wydobycia Cynku I Ołowiu W Kopalniach Podziemnych Z Wykorzystaniem Podejścia Stochastycznego Z Elementami Logiki Rozmytej Do Określania Niezbędnego Poziomu Zapasów." Archives of Mining Sciences 60, no. 1 (2015): 73–92. http://dx.doi.org/10.1515/amsc-2015-0006.

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Abstract Methodology for long-term underground lead-zinc mine planning based on fuzzy inventory theory is presented in this paper. We developed a fuzzy stochastic model of inventory control problem for planning lead-zinc ore production under uncertainty. The final purpose of this article is to find the optimal quantity of mined ore that should be stockpiled, in order to enable “feeding” of mineral processing plant in cases when the production in underground mine is interrupted, by using Possibilistic mean value of fuzzy number for defuzzing the fuzzy total annual inventory costs, and by using

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Adhi Wicaksana, Bagus Ismail, and Erni Suparti. "Optimisasi Jumlah Produksi Menggunakan Model Newsboy dan Perencanaan Pengendalian Bahan Baku Menggunakan Material Requirement Planning (MRP)." PROZIMA (Productivity, Optimization and Manufacturing System Engineering) 2, no. 2 (2019): 88. http://dx.doi.org/10.21070/prozima.v2i1.1918.

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A company have to do inventory control for available guarantying of material, component or item at the time to fulfill production schedule, and available guarantying of product become to consumer and take care of inventory at minimum condition. As object of research is CV. Cita Nasional located in Salatiga. Problems that exist in the CV. Cita Nasional often experience shortages of raw materials caused by internal and external factors. The approach taken to solve this problem by making a production plan using the Newsboy Problem because milk products including perishable product and raw materia

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8

Ogunwolu, Ladi, O. A. Alli, Chidi Onyedikam, and A. A. Sosimi. "Multi-Item Multi-Period Dynamic Capacity-Constrained Lot-Sizing Model with Parallel Machines and Fuzzy Demand." Advanced Materials Research 367 (October 2011): 627–38. http://dx.doi.org/10.4028/www.scientific.net/amr.367.627.

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Multi-item, multi-period production systems are prevalent in traditional production and distribution settings. A dynamic lot size production scheduling model (DLSPM) for multi-Production/inventory item multi-period production system with parallel machines is proposed in this paper. A mathematical framework that extends the DLSPM to multi-Production/inventory item-multi-period production planning constrained by storage space was built. The criteria of DLSPM explore optimal production schedule with the constraints of inventory, backlogs, production and demand to minimize the total inventory cost

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9

Wang, Neng Min, Zheng Wen He, Qiu Shuang Zhang, and Lin Yan Sun. "Single Item Lot Sizing Models with Bounded Inventory and Remanufacturing." Advanced Materials Research 102-104 (March 2010): 791–95. http://dx.doi.org/10.4028/www.scientific.net/amr.102-104.791.

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Dynamic lot sizing problem for systems with bounded inventory and remanufacturing was addressed. The demand and return amounts are deterministic over the finite planning horizon. Demands can be satisfied by manufactured new items, but also by remanufactured returned items. In production planning, there can be situations where the ability to meet customer demands is constrained by inventory capacity rather than production capacity. Two different limited inventory capacities are considered; there is either bounded serviceables inventory or bounded returns inventory. For the two inventory case, w

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10

Wu, Jing, Dan Zhang, Yang Yang, Gongshu Wang, and Lijie Su. "Multi-Stage Multi-Product Production and Inventory Planning for Cold Rolling under Random Yield." Mathematics 10, no. 4 (2022): 597. http://dx.doi.org/10.3390/math10040597.

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This paper studies a multi-stage multi-product production and inventory planning problem with random yield derived from the cold rolling process in the steel industry. The cold rolling process has multiple stages, and intermediate inventory buffers are kept between stages to ensure continuous operation. Switching products during the cold rolling process is typically very costly. Backorder costs are incurred for unsatisfied demand while inventory holding costs are incurred for excess inventory. The process also experiences random yield. The objective of the production and inventory planning pro

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11

Benkherouf, Lakdere, and Dalal Boushehri. "Optimal Policies for a Finite-Horizon Production Inventory Model." Advances in Operations Research 2012 (2012): 1–16. http://dx.doi.org/10.1155/2012/768929.

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This paper is concerned with the problem of finding the optimal production schedule for an inventory model with time-varying demand and deteriorating items over a finite planning horizon. This problem is formulated as a mixed-integer nonlinear program with one integer variable. The optimal schedule is shown to exist uniquely under some technical conditions. It is also shown that the objective function of the nonlinear obtained from fixing the integrality constraint is convex as a function of the integer variable. This in turn leads to a simple procedure for finding the optimal production plan.

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12

Salviano, Oscar, and Frederic Andres. "Chance-constrained LQG production planning problem under partially observed forward-backward inventory systems." IFAC-PapersOnLine 53, no. 2 (2020): 10828–35. http://dx.doi.org/10.1016/j.ifacol.2020.12.2869.

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13

Popescu, Liviu. "Applications of Optimal Control to Production Planning." Information Technology And Control 49, no. 1 (2020): 89–99. http://dx.doi.org/10.5755/j01.itc.49.1.23891.

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In this paper we solve a problem of optimization and production planning using the optimal control methods and Pontryagin Maximum Principle. We propose an economic model and find an optimal plan of production for n products, to ensure the required quantity at specified delivery data with minimum cost of inventory and production. We prove that the economic system is not controllable, in the sense that we cannot reach any final stock quantity. Finally, we justify this construction with a numerical example.

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14

Smith, Neale R., Jorge Limón Robles, and Leopoldo Eduardo Cárdenas-Barrón. "Optimal Pricing and Production Master Planning in a Multiperiod Horizon Considering Capacity and Inventory Constraints." Mathematical Problems in Engineering 2009 (2009): 1–15. http://dx.doi.org/10.1155/2009/932676.

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We formulate and solve a single-item joint pricing and master planning optimization problem with capacity and inventory constrains. The objective is to maximize profits over a discrete-time multiperiod horizon. The solution process consists of two steps. First, we solve the single-period problem exactly. Second, using the exact solution of the single-period problem, we solve the multiperiod problem using a dynamic programming approach. The solution process and the importance of considering both capacity and inventory constraints are illustrated with numerical examples.

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15

Seyedhosseini, S. M., and S. M. Ghoreyshi. "An Integrated Model for Production and Distribution Planning of Perishable Products with Inventory and Routing Considerations." Mathematical Problems in Engineering 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/475606.

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In many conventional supply chains, production planning and distribution planning are treated separately. However, it is now demonstrated that they are mutually related problems that must be tackled in an integrated way. Hence, in this paper a new integrated production and distribution planning model for perishable products is formulated. The proposed model considers a supply chain network consisting of a production facility and multiple distribution centers. The facility produces a single perishable product that is storable only for predetermined periods. A homogenous fleet of vehicles is res

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Zeddam, Besma, Fayçal Belkaid, and Mohammed Bennekrouf. "An Efficient Approach for Solving Integrated Production and Distribution Planning Problems." International Journal of Applied Logistics 10, no. 2 (2020): 25–44. http://dx.doi.org/10.4018/ijal.2020070102.

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The increasing customer expectations for customized products of high quality in short delays and the worldwide competition in terms of quality and costs have pushed industries to implement new strategies to manage their supply chain decisions. In this context, the integrated planning is becoming the most dominant over the operational research field because of its efficiency and its ability to cover the different aspects of the problem. Production routing problem is one of the problems of the integrated planning that is of interest in optimizing simultaneously production, inventory, and distrib

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17

Khanra, S., and K. S. Chaudhuri. "A production-inventory model for a deteriorating item with shortage and time dependent demand." Yugoslav Journal of Operations Research 21, no. 1 (2011): 29–45. http://dx.doi.org/10.2298/yjor1101029k.

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In the present article, a production-inventory model is developed over a finite planning horizon where the demand varies linearly with time. The machine production rate is assumed to be finite and constant. Shortages in inventory are allowed and are completely backlogged. The associated constrained minimization problem is numerically solved. Sensitivity analysis is also presented for the given model.

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18

Wei, Mingyuan, Hao Guan, Yunhan Liu, Benhe Gao, and Canrong Zhang. "Production, Replenishment and Inventory Policies for Perishable Products in a Two-Echelon Distribution Network." Sustainability 12, no. 11 (2020): 4735. http://dx.doi.org/10.3390/su12114735.

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The research on production, delivery and inventory strategies for perishable products in a two-echelon distribution network integrates the production routing problem (PRP) and two-echelon vehicle routing problem (2E-VRP), which mainly considers the inventory and delivery sustainability of perishable products. The problem investigated in this study is an extension of the basic problems, and it simultaneously optimizes production, replenishment, inventory, and routing decisions for perishable products that will deteriorate over the planning horizon. Additionally, the lead time has been considere

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19

Wahyuni, Wahyuni, Muhammad Latiful Fatih, Raissa Muthia Syahrani Hsb, Sakina Sakina, and Suhairi Suhairi. "Analisis Studi Kelayakan Bisnis Dalam Aspek Produksi." VISA: Journal of Vision and Ideas 2, no. 1 (2022): 126–34. http://dx.doi.org/10.47467/visa.v2i1.960.

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 This article aims to determine the feasibility of a business in Production analysis. In this case the author uses a business feasibility analysis through the production aspect, which means the activities that arise when an idea in a planned business has shown opportunities and illustrates the advantages in terms of marketing. The problem of the production process and the operation process consists of the selection of production strategies, product selection and planning, quality planning, technology selection, production capacity planning, factory layout planning, layout planning, produ

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20

Wahyuni, Wahyuni, Muhammad Latiful Fatih, Raissa Muthia Syahrani Hsb, Sakina Sakina, and Suhairi Suhairi. "Analisis Studi Kelayakan Bisnis Dalam Aspek Produksi." VISA: Journal of Vision and Ideas 2, no. 2 (2022): 126–34. http://dx.doi.org/10.47467/visa.v2i2.960.

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 This article aims to determine the feasibility of a business in Production analysis. In this case the author uses a business feasibility analysis through the production aspect, which means the activities that arise when an idea in a planned business has shown opportunities and illustrates the advantages in terms of marketing. The problem of the production process and the operation process consists of the selection of production strategies, product selection and planning, quality planning, technology selection, production capacity planning, factory layout planning, layout planning, produ

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21

Chekoubi, Zakaria, Wajdi Trabelsi, Nathalie Sauer, and Ilias Majdouline. "The Integrated Production-Inventory-Routing Problem with Reverse Logistics and Remanufacturing: A Two-Phase Decomposition Heuristic." Sustainability 14, no. 20 (2022): 13563. http://dx.doi.org/10.3390/su142013563.

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Sustainable supply chains depend on three critical decisions: production, inventory management, and distribution with reverse flows. To achieve an effective level of operational performance, policymakers must consider all these decisions, especially in Closed-Loop Supply Chains (CLSCs) with remanufacturing option. In this research paper, we address the Integrated Production-Inventory-Routing Problem with Remanufacturing (IPIRP-R) of returned End-Of-Life (EOL) products. The aim behind solving this optimization problem is to minimize conjointly the total manufacturing, remanufacturing, setup, in

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22

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 s

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23

Biswas, Pablo, and Bhaba Sarker. "Operational planning of supply chains in a production and distribution center with just-in-time delivery." Journal of Industrial Engineering and Management 13, no. 2 (2020): 332. http://dx.doi.org/10.3926/jiem.3046.

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Purpose: A supply chain consists of raw material suppliers, manufacturers and retailers where inventory of raw materials and finished goods are involved, respectively. Therefore, it is important to find optimal solutions, which are beneficial for both supplier, manufacturer and retailer.Design/methodology/approach: This research focuses on a semi-continuous manufacturing facility by assuming that the production of succeeding cycle starts immediately after the production of preceding cycle. In reality, the inventory of a supply chain system may not be completely empty. A number of products may

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Moin, Noor Hasnah, and Titi Yuliana. "Three-Phase Methodology Incorporating Scatter Search for Integrated Production, Inventory, and Distribution Routing Problem." Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/304981.

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This paper proposes the use of scatter search metaheuristic to solve an integrated production, inventory, and distribution routing problem. The problem is based on a single production plant that produces a single product that is delivered toNgeographically dispersed customers by a set of homogenous fleet of vehicles. The objective is to construct a production plan and delivery schedule to minimize the total costs and ensuring each customer’s demand is met over the planning horizon. We assumed that excess production can be stored at the plant or at customer’s sites within some limits, but stock

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25

Aziz, Ridwan Al, Himangshu Kumar Paul, Touseef Mashrurul Karim, Imtiaz Ahmed, and Abdullahil Azeem. "Modeling and optimization of multi-layer aggregate production planning." Journal of Operations and Supply Chain Management 11, no. 2 (2018): 1. http://dx.doi.org/10.12660/joscmv11n2p1-15.

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<p>Aggregate production planning has attracted the attention of researchers for quite a long time now; and the continued researches depict the significance and scope for improvement in this arena. Here, a multi-product, multi-level and multi-period model has been formulated to identify the required aggregate plan for meeting the forecast demand, by regulating production rates, inventory, workforce, various production costs, and other controllable variables. Several new contributing factors, such as costs related to material handling, raw material inventory and worker training have been i

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Hidayah, Nur, and Asnil Aidah. "Application of Optimal Control Theory to Inventory Problems That Are Increasing at PT. Canang Indah." ZERO: Jurnal Sains, Matematika dan Terapan 6, no. 1 (2022): 16. http://dx.doi.org/10.30829/zero.v6i1.12453.

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This journal discusses optimal control of inventory problems that are increasing. The inventory in the company is needed, to meet every incoming demand. Inventory in minimum quantity can result in shortage of inventory. But inventory quantity maximum can result in losses, due to the minimum demand. The purpose of this research is to determine the level of optimal inventory in PT. Canang Indah. Using the optimal control theory model and analyzing the stability of the dynamic differential equation, to find the optimal inventory level. Obtained optimal inventory levels achieve stability at the ti

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Pratiwi, Annisa Indah, Afif Hakim, and Ragil Yuli Santosa. "DEVELOPMENT OF OPERATION PROCESS MAP AND ANALYSIS OF INVENTORY CONTROL BASED ON MATERIAL REQUIREMENT PLANNING IN ASSEMBLY LINE." Journal of Industrial Engineering and Halal Industries 1, no. 1 (2020): 30–38. http://dx.doi.org/10.14421/jiehis.1800.

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Production planning and control is a theory which discusses all the activities that take place in a production process which includes product planning, costs, production processes, scheduling, forecasting demand and many other products. Planning the amount of inventory that will be owned company is one of the problems often faced by companies. Especially when the inventory is one important factor that can support the company's production processes and help meet customer demand. For companies that have strategies make to stock, inventory can have a major impact on the pricing of the product or

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28

Niknamfar, Amir Hossein. "Multi-objective production-distribution planning based on vendor-managed inventory strategy in a supply chain." Industrial Management & Data Systems 115, no. 6 (2015): 1086–112. http://dx.doi.org/10.1108/imds-03-2015-0073.

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Purpose – The production-distribution (P-D) problems are two critical problems in many industries, in particular, in manufacturing systems and the supply chain management. In previous researches on P-D planning, the demands of the retailers and their inventory levels have less been controlled. This may lead into huge challenges for a P-D plan such as the bullwhip effects. Therefore, to remove this challenge, the purpose of this paper is to integrate a P-D planning and the vendor-managed inventory (VMI) as a strong strategy to manage the bullwhip effects in supply chains. The proposed P-D-VMI a

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29

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 h

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30

Malindzakova, Marcela, Patrik Garaj, Jarmila Trpčevská, and Dusan Malindzak. "Setting MRP Parameters and Optimizing the Production Planning Process." Processes 10, no. 4 (2022): 690. http://dx.doi.org/10.3390/pr10040690.

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This article describes a methodical framework that combines two specific methods of Lean management, namely the ABC method and the MRP planning method. The article further argues that combining the ABC inventory method with subsequent MRP planning is beneficial if the combination is implemented in practice. To demonstrate the benefits, the framework is tested using a case study company. The presented case-study problem is to reduce the number of changeover downtimes in the environment of an engineering production company. The researched company deals with the problem of setting up production l

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Rina Handayani and Manaek Hamonangan Sihombing. "Planning of Optimal Raw Materials Inventory Using the Marcov Chain Method." Journal of Science Technology (JoSTec) 4, no. 1 (2022): 151–61. http://dx.doi.org/10.55299/jostec.v4i1.157.

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Inventory is an important issue to control. Both finished goods and raw material inventories are the same with ingredient raw for the production process . no seldom our find problem where company no To do good control _ in management inventory that results in needs customer no fulfilled . Ray Traso Jaya is company that manufactures and sells paving block products , bataco , riol concrete and pits wind where in the production process experience disturbance in carry out the production process caused level management supply ingredient raw sand and cement that are not optimal as a result company d

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32

Sadiq, Shireen S., Adnan Mohsin Abdulazeez, and Habibollah Haron. "Solving multi-objective master production schedule problem using memetic algorithm." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 2 (2020): 938. http://dx.doi.org/10.11591/ijeecs.v18.i2.pp938-945.

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<span>A master production schedule (MPS) need find a good, perhaps optimal, plan for maximize service levels while minimizing inventory and resource usage. However, these are conflicting objectives and a tradeoff to reach acceptable values must be made. Therefore, several techniques have been proposed to perform optimization on production planning problems based on, for instance, linear and non-linear programming, dynamic-lot sizing and meta-heuristics. In particular, several meta- heuristics have been successfully used to solve MPS problems such as genetic algorithms (GA) and simulated

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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 part

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Wang, Neng Min, Zheng Wen He, and Lin Yan Sun. "Study on the Bounded Inventory Model with Returning Items and Disposals." Advanced Materials Research 102-104 (March 2010): 920–25. http://dx.doi.org/10.4028/www.scientific.net/amr.102-104.920.

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This paper addresses a dynamic lot sizing problem with mixed returning items and disposals and bounded inventory. The returning items mean that returns are in good enough condition to re-enter the inventory supply stream. The producing, the holding, backlogging and disposals cost functions are concave cost functions. Furthermore, backlogging level and inventory level at each period is limited. The goal is to minimize the total cost of production, inventory holding/backlogging and disposal. A dynamic programming algorithm with complexity O(T3) is developed to solve this model, where T is the le

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Sukmawati, Cici Emilia, and Ayu Ratna Juwita. "Forecasting Model Number Production of Car Spare Parts at PT. Showa Katou Indonesia with Arima Method." JURNAL SISFOTEK GLOBAL 12, no. 1 (2022): 65. http://dx.doi.org/10.38101/sisfotek.v12i1.478.

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In the case of single part production planning at PT Showa Katou Indonesia The problem is the production plan is only a production schedule, the schedule is made only two times (morning and evening) in a day. The schedule is created after the Production Planning Inventory Control (PPIC) contacts the customer to ascertain what the customer needs. After knowing what the customer needs, a production schedule and planning are made. The impact of this erratic production schedule causes loss of production time because if there is no demand then nothing is done by workers and the machine stops produc

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Ben Abid, Taycir, Omar Ayadi, and Faouzi Masmoudi. "An Integrated Production-Distribution Planning Problem under Demand and Production Capacity Uncertainties: New Formulation and Case Study." Mathematical Problems in Engineering 2020 (April 13, 2020): 1–15. http://dx.doi.org/10.1155/2020/1520764.

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In this study, we propose to solve a biobjective tactical integrated production-distribution planning problem for a multisite, multiperiod, multiproduct, sea-air intermodal supply chain network under uncertainties. Two random parameters are considered simultaneously: product replenishment orders and production capacity, which are modelled via a finite set of scenarios, using a two-stage stochastic approach. A corresponding mathematical model is developed, coded, and solved using the LINGO 18.0 software optimisation tool. This model aims to simultaneously minimise the total costs of production

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KUMAR, G. MOHAN, and A. NOORUL HAQ. "HYBRID GENETIC — ANT COLONY ALGORITHMS FOR SOLVING AGGREGATE PRODUCTION PLAN." Journal of Advanced Manufacturing Systems 04, no. 01 (2005): 103–11. http://dx.doi.org/10.1142/s021968670500059x.

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It is necessary for the management of any industry to workout an intermediate range plan also known as aggregate production plan, consistently with the long range policies and resources allocated by long range decisions. It is a procedure of translating the expected demand and production capacity of the available facilities into future manufacturing plans for a family of products. It includes decisions on production quantity, work force and inventory to workout a low cost product and timely delivery. Ant colony optimization algorithm finds its extensive application in solving job shop scheduli

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Fatma, Erika. "MINIMALISASI BIAYA SIMPAN DAN BIAYA SETUP PADA MULTIPLE PRODUK: SIMULASI DENGAN CAPACITATED LOT SIZING PROBLEM." Jurnal Riset Manajemen dan Bisnis (JRMB) Fakultas Ekonomi UNIAT 4, no. 2 (2019): 205–14. http://dx.doi.org/10.36226/jrmb.v4i2.260.

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Lot sizing problem in production planning aims to optimize production costs (processing, setup and holding cost) by fulfilling demand and resources capacity costraint. The Capacitated Lot sizing Problem (CLSP) model aims to balance the setup costs and inventory costs to obtain optimal total costs. The object of this study was a plastic component manufacturing company. This study use CLSP model, considering process costs, holding costs and setup costs, by calculating product cycle and setup time. The constraint of this model is the production time capacity and the storage capacity of the finish

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Zhou, Yancong, Xudong Guo, and Xiaochen Sun. "Acquisition Pricing and Inventory Decisions on Dual-Source Spare-Part System with Final Production and Remanufacturing." Scientific Programming 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/8038045.

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The life spans of durable goods are longer than their warranty periods. To satisfy the service demand of spare parts and keep the market competition advantage, enterprises have to maintain the longer inventory planning of spare parts. However, how to obtain a valid number of spare parts is difficult for those enterprises. In this paper, we consider a spare-part inventory problem, where the inventory can be replenished by two ways including the final production order and the remanufacturing way. Especially for the remanufacturing way, we consider the acquisition management problem of used produ

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Biazzi, Jorge Luiz. "Aggregate planning for probabilistic demand with internal and external storage." Journal of Operations and Supply Chain Management 11, no. 1 (2018): 37. http://dx.doi.org/10.12660/joscmv11n1p37-52.

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<p>This paper presents three approaches to support decision-making for production planning, sales and inventory problems. They work in a situation with: non-stationary probabilistic demand; production capacity in regular hours and overtime; shortage leads to lost sales; limited internal storage space; and ordering costs resulting from machine preparation are negligible. In the first approach, we consider the problem as linear and deterministic. In the second, safety inventories are used to fill a probabilistic demand, but the possibility of stockout is not considered. The third approach

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Xi, Jia, and Ping Ba Sha. "Research on Optimization of Inventory Management Based on Demand Forecasting." Applied Mechanics and Materials 687-691 (November 2014): 4828–31. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.4828.

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Demand forecasting is the basis of the inventory management. Aiming at the problem of subjective forecasting method, we use quadratic exponential smoothing method to establish the mathematical model, to forecast sales volume of product A in every month in 2013. And based on demand forecasting, we put forward ABC classification management method to solve the inventory management issues. The research result of this paper has important implications in improving the inventory management level for many enterprises.Demand Forecasting and Inventory ManagementInventory management is an important part

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Suparno, Suparno, and Anik Rufaidah. "Analisis Perbandingan Metode Moving Average dan Exponential Smoothing untuk Meramalkan Permintaan Produk Turning Pada CV. Gavra Perkasa." Jurnal Optimalisasi 7, no. 2 (2021): 201. http://dx.doi.org/10.35308/jopt.v7i2.4311.

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CV. Gavra Perkasa is a manufacturing industry with the finished product in the form of turning. The number of sales transactions will affect the inventory of raw materials. The problem with the company is that the company's ability to predict the amount of raw materials that must be available in the following month is not optimal due to fluctuating demand. This problem will have an impact on planning inventory inventory during the production process and recording inventory usage to optimize storage costs. This study aims to plan inventory demand in the future and to plan inventory use using th

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Mirzapour Al-e-Hashem, S. M. J., A. Baboli, S. J. Sadjadi, and M. B. Aryanezhad. "A Multiobjective Stochastic Production-Distribution Planning Problem in an Uncertain Environment Considering Risk and Workers Productivity." Mathematical Problems in Engineering 2011 (2011): 1–14. http://dx.doi.org/10.1155/2011/406398.

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A multi-objective two stage stochastic programming model is proposed to deal with a multi-period multi-product multi-site production-distribution planning problem for a midterm planning horizon. The presented model involves majority of supply chain cost parameters such as transportation cost, inventory holding cost, shortage cost, production cost. Moreover some respects as lead time, outsourcing, employment, dismissal, workers productivity and training are considered. Due to the uncertain nature of the supply chain, it is assumed that cost parameters and demand fluctuations are random variable

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Kulyk, Anatolii. "APPLICATION OF THE (R, S) MODEL WHEN PLANNING STOCKS IN AN INDUSTRIAL ENTERPRISE." Scientific Notes of Ostroh Academy National University, "Economics" Series 1, no. 26(54) (2022): 37–42. http://dx.doi.org/10.25264/2311-5149-2022-26(54)-37-42.

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One of the current problems in the enterprise management system is the creation and replenishment of stocks, the organization of continuous monitoring and prompt supply of raw materials. Using mathematical models, you can solve the problem of forming the optimal production program of the enterprise, investing in production, as well as to carry out strategic planning of enterprise development. In each case, it is important to build a model that describes the system under study, and on its basis to find the optimal ratio between costs and benefits of the selected level of stocks and determine wh

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LEE, SHINE-DER, SHU-CHUAN LAN, and CHIN-MING YANG. "ECONOMIC PRODUCTION LOT SIZING MODEL WITH STOCHASTIC DEMAND." Asia-Pacific Journal of Operational Research 31, no. 03 (2014): 1450015. http://dx.doi.org/10.1142/s0217595914500158.

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We consider the extended economic production quantity (EPQ) problem when demand follows a Poisson process in a production system. A fixed lot sizing policy is implemented to minimize fluctuation of workload, and to smooth production planning and inventory control. The considered costs include setup cost, inventory carrying cost, and shortage cost when demand cannot be satisfied from stock. The main contributions of this paper are two folds. We develop and analyze the extended EPQ model. Under some mild conditions, the expected cost per unit time can be shown to be convex. Via computational exp

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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 (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/meth

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Mifdal, Lahcen, Zied Hajej, and Sofiene Dellagi. "Joint Optimization Approach of Maintenance and Production Planning for a Multiple-Product Manufacturing System." Mathematical Problems in Engineering 2015 (2015): 1–17. http://dx.doi.org/10.1155/2015/769723.

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This paper deals with the problem of maintenance and production planning for randomly failing multiple-product manufacturing system. The latter consists of one machine which produces several types of products in order to satisfy random demands corresponding to every type of product. At any given time, the machine can only produce one type of product and then switches to another one. The purpose of this study is to establish sequentially an economical production plan and an optimal maintenance strategy, taking into account the influence of the production rate on the system’s degradation. Analyt

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Sohrabi, Babak, and MohammadReza Sadeghi Moghadam. "Supply and Production/Distribution Planning in Supply Chain with Genetic Algorithm." International Journal of Applied Industrial Engineering 1, no. 1 (2012): 38–54. http://dx.doi.org/10.4018/ijaie.2012010104.

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The present study, using genetic algorithm, tries to improve material flow management in supply chain. Consequently, in this paper, an integrated supply-production and distribution planning (SPDP) is considered despite the fact that in most of the Iranian industrial firms, SPDP is done independently. The effective use of integrated SPDP not only enhances the performance rather decreases inventory cost, holding cost, shortage cost and overall supply chain costs. A quantitative mathematical model is used to the problem articulation, and then it is solved by applying heuristic genetic algorithm (

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Tshinangi, Kapya, Olufemi Adetunji, and V. S. S. Yadavalli. "A Lot-Sizing Model for a Multi-State System with Deteriorating Items, Variable Production Rate, and Imperfect Quality." International Journal of Mathematical, Engineering and Management Sciences 7, no. 5 (2022): 730–48. http://dx.doi.org/10.33889/ijmems.2022.7.5.048.

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Conventional production systems assume that during the manufacturing processes, machines operate without breakdown over an infinite planning horizon and manufacture only products of good quality. Imperfect production processes as a result of machine degradation are common in manufacturing. This paper deals with a problem that concerns the modelling and evaluation of the performance of a multi-state production system that is subject to degradation and its effect on lot sizing. Here, we consider that the cycle starts with a particular production rate until a point when the inventory reaches a ce

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Firanda, Gusti, and Rika Rosnelly. "THE APPLICATION OF THE TRIPLE EXPONENTIAL SMOOTHING METHOD IN THE PREDICTION OF WAREHOUSE INVENTORY." Jurnal Informatika Kaputama (JIK) 7, no. 1 (2023): 47–56. http://dx.doi.org/10.59697/jik.v7i1.6.

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Prediction is an attempt to predict or predict something that will happen in the future by utilizing various relevant information in previous (historical) times through a scientific method. One of the applications of prediction in the business world is to predict future warehouse inventory based on the company's usage in the previous period. Prediction (Forecasting) is very helpful in planning and making decisions in an activity. Analysis is very important in learning, because research becomes more precise and focused. The problem faced by the company at this time is that the company has diffi

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