{"title":"按库存生产/按订单生产制造系统中的库存配给、入场控制和生产能力分配","authors":"Eungab Kim","doi":"10.1111/itor.13521","DOIUrl":null,"url":null,"abstract":"This paper considers a manufacturing system in which products are produced in both make‐to‐stock (MTS) and make‐to‐order (MTO) modes. Production of MTS and MTO products is done in batches, incurs a setup cost, and is non‐preemptive. The inventory of MTS products fulfills the demand of multiple classes, and each class demand can be satisfied or rejected. Customer orders for MTO production can be accepted or rejected, and their size is the same as the production batch. The primary goal of this paper is to study a policy that coordinates inventory rationing, admission control, and production capacity allocation to maximize the system's profit. We formulate the problem as a Markov decision process model and identify the structure of optimal control policies. We investigate the effect of inventory rationing on the profit by comparing its performance to that of the system with a first‐come‐ first‐serve policy to allocate inventory to multiple demand classes and study the extent to which the benefit of inventory rationing can be affected by system parameter changes. We also propose a heuristic that manages control decisions from linear threshold functions. Our test results from numerical examples show that the average percentage difference between the optimal and heuristic policies is within 1.2%.","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"44 1","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Inventory rationing, admission control, and production capacity allocation in a make‐to‐stock/make‐to‐order manufacturing system\",\"authors\":\"Eungab Kim\",\"doi\":\"10.1111/itor.13521\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper considers a manufacturing system in which products are produced in both make‐to‐stock (MTS) and make‐to‐order (MTO) modes. Production of MTS and MTO products is done in batches, incurs a setup cost, and is non‐preemptive. The inventory of MTS products fulfills the demand of multiple classes, and each class demand can be satisfied or rejected. Customer orders for MTO production can be accepted or rejected, and their size is the same as the production batch. The primary goal of this paper is to study a policy that coordinates inventory rationing, admission control, and production capacity allocation to maximize the system's profit. We formulate the problem as a Markov decision process model and identify the structure of optimal control policies. We investigate the effect of inventory rationing on the profit by comparing its performance to that of the system with a first‐come‐ first‐serve policy to allocate inventory to multiple demand classes and study the extent to which the benefit of inventory rationing can be affected by system parameter changes. We also propose a heuristic that manages control decisions from linear threshold functions. Our test results from numerical examples show that the average percentage difference between the optimal and heuristic policies is within 1.2%.\",\"PeriodicalId\":49176,\"journal\":{\"name\":\"International Transactions in Operational Research\",\"volume\":\"44 1\",\"pages\":\"\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2024-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Transactions in Operational Research\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1111/itor.13521\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Transactions in Operational Research","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1111/itor.13521","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0
摘要
本文研究了一个制造系统,在该系统中,产品以按库存生产(MTS)和按订单生产(MTO)两种模式进行生产。MTS 和 MTO 产品的生产是分批进行的,会产生设置成本,并且是非抢先生产。MTS 产品的库存可满足多个类别的需求,每个类别的需求都可以满足或拒绝。MTO 生产的客户订单可以接受或拒绝,其规模与生产批量相同。本文的主要目标是研究一种协调库存配给、入场控制和生产能力分配的策略,以实现系统利润最大化。我们将问题表述为马尔可夫决策过程模型,并确定了最优控制政策的结构。我们通过比较库存配给与采用先到先得政策为多个需求类别分配库存的系统的性能,研究了库存配给对利润的影响,并研究了系统参数变化对库存配给效益的影响程度。我们还提出了一种启发式方法,可根据线性阈值函数管理控制决策。我们从数字实例中得出的测试结果表明,最优策略和启发式策略之间的平均百分比差异在 1.2% 以内。
Inventory rationing, admission control, and production capacity allocation in a make‐to‐stock/make‐to‐order manufacturing system
This paper considers a manufacturing system in which products are produced in both make‐to‐stock (MTS) and make‐to‐order (MTO) modes. Production of MTS and MTO products is done in batches, incurs a setup cost, and is non‐preemptive. The inventory of MTS products fulfills the demand of multiple classes, and each class demand can be satisfied or rejected. Customer orders for MTO production can be accepted or rejected, and their size is the same as the production batch. The primary goal of this paper is to study a policy that coordinates inventory rationing, admission control, and production capacity allocation to maximize the system's profit. We formulate the problem as a Markov decision process model and identify the structure of optimal control policies. We investigate the effect of inventory rationing on the profit by comparing its performance to that of the system with a first‐come‐ first‐serve policy to allocate inventory to multiple demand classes and study the extent to which the benefit of inventory rationing can be affected by system parameter changes. We also propose a heuristic that manages control decisions from linear threshold functions. Our test results from numerical examples show that the average percentage difference between the optimal and heuristic policies is within 1.2%.
期刊介绍:
International Transactions in Operational Research (ITOR) aims to advance the understanding and practice of Operational Research (OR) and Management Science internationally. Its scope includes:
International problems, such as those of fisheries management, environmental issues, and global competitiveness
International work done by major OR figures
Studies of worldwide interest from nations with emerging OR communities
National or regional OR work which has the potential for application in other nations
Technical developments of international interest
Specific organizational examples that can be applied in other countries
National and international presentations of transnational interest
Broadly relevant professional issues, such as those of ethics and practice
Applications relevant to global industries, such as operations management, manufacturing, and logistics.