Wolfgang Seiringer, Balwin Bokor, Klaus Altendorfer
{"title":"评估不同环境下的生产计划和控制系统:模拟比较研究","authors":"Wolfgang Seiringer, Balwin Bokor, Klaus Altendorfer","doi":"arxiv-2405.02015","DOIUrl":null,"url":null,"abstract":"Selecting the appropriate production planning and control systems (PPCS)\npresents a significant challenge for many companies, as their performance, i.e.\noverall costs, depends on the production system environment. Key environmental\ncharacteristics include the system's structure, i.e. flow shop, hybrid shop, or\njob shop, and the planned shop load. Besides selecting a suitable PPCS, its\nparameterization significantly influences the performance. This publication\ninvestigates the performance and the optimal parametrization of Material\nRequirement Planning (MRP), Reorder Point System (RPS) and Constant Work In\nProgress (ConWIP) at different stochastic multi-item multi-stage production\nsystem environments by conduction a comprehensive full factorial simulation\nstudy. The results indicate that MRP and ConWIP generally outperform RPS in all\nobserved environments. Moreover, when comparing MRP with ConWIP, the\nperformance clearly varies depending on the specific production system\nenvironment.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating Production Planning and Control Systems in Different Environments: A Comparative Simulation Study\",\"authors\":\"Wolfgang Seiringer, Balwin Bokor, Klaus Altendorfer\",\"doi\":\"arxiv-2405.02015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Selecting the appropriate production planning and control systems (PPCS)\\npresents a significant challenge for many companies, as their performance, i.e.\\noverall costs, depends on the production system environment. Key environmental\\ncharacteristics include the system's structure, i.e. flow shop, hybrid shop, or\\njob shop, and the planned shop load. Besides selecting a suitable PPCS, its\\nparameterization significantly influences the performance. This publication\\ninvestigates the performance and the optimal parametrization of Material\\nRequirement Planning (MRP), Reorder Point System (RPS) and Constant Work In\\nProgress (ConWIP) at different stochastic multi-item multi-stage production\\nsystem environments by conduction a comprehensive full factorial simulation\\nstudy. The results indicate that MRP and ConWIP generally outperform RPS in all\\nobserved environments. Moreover, when comparing MRP with ConWIP, the\\nperformance clearly varies depending on the specific production system\\nenvironment.\",\"PeriodicalId\":501487,\"journal\":{\"name\":\"arXiv - QuantFin - Economics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuantFin - Economics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2405.02015\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuantFin - Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2405.02015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluating Production Planning and Control Systems in Different Environments: A Comparative Simulation Study
Selecting the appropriate production planning and control systems (PPCS)
presents a significant challenge for many companies, as their performance, i.e.
overall costs, depends on the production system environment. Key environmental
characteristics include the system's structure, i.e. flow shop, hybrid shop, or
job shop, and the planned shop load. Besides selecting a suitable PPCS, its
parameterization significantly influences the performance. This publication
investigates the performance and the optimal parametrization of Material
Requirement Planning (MRP), Reorder Point System (RPS) and Constant Work In
Progress (ConWIP) at different stochastic multi-item multi-stage production
system environments by conduction a comprehensive full factorial simulation
study. The results indicate that MRP and ConWIP generally outperform RPS in all
observed environments. Moreover, when comparing MRP with ConWIP, the
performance clearly varies depending on the specific production system
environment.