{"title":"长交货期的原材料库存优化","authors":"Nabilah Febriani, Komarudin","doi":"10.1109/ICBIR54589.2022.9786476","DOIUrl":null,"url":null,"abstract":"Inventory management is an essential component in supporting production. Factories must implement inventory control to achieve the desired productivity. Material shortages disturb production, while material excess makes spending soar. To prevent these problems, this study aims to analyze raw material requirements and inventory control management at a factory. This paper compares the classic economic order quantity (EOQ) model and Monte Carlo simulation and optimization considering random elements. The order quantity and the reorder point will be obtained using both methods. The results show that the Monte Carlo simulation produces lower inventory costs.","PeriodicalId":216904,"journal":{"name":"2022 7th International Conference on Business and Industrial Research (ICBIR)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Raw Material Inventory Optimization with Long Leadtime\",\"authors\":\"Nabilah Febriani, Komarudin\",\"doi\":\"10.1109/ICBIR54589.2022.9786476\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Inventory management is an essential component in supporting production. Factories must implement inventory control to achieve the desired productivity. Material shortages disturb production, while material excess makes spending soar. To prevent these problems, this study aims to analyze raw material requirements and inventory control management at a factory. This paper compares the classic economic order quantity (EOQ) model and Monte Carlo simulation and optimization considering random elements. The order quantity and the reorder point will be obtained using both methods. The results show that the Monte Carlo simulation produces lower inventory costs.\",\"PeriodicalId\":216904,\"journal\":{\"name\":\"2022 7th International Conference on Business and Industrial Research (ICBIR)\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 7th International Conference on Business and Industrial Research (ICBIR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICBIR54589.2022.9786476\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 7th International Conference on Business and Industrial Research (ICBIR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBIR54589.2022.9786476","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Raw Material Inventory Optimization with Long Leadtime
Inventory management is an essential component in supporting production. Factories must implement inventory control to achieve the desired productivity. Material shortages disturb production, while material excess makes spending soar. To prevent these problems, this study aims to analyze raw material requirements and inventory control management at a factory. This paper compares the classic economic order quantity (EOQ) model and Monte Carlo simulation and optimization considering random elements. The order quantity and the reorder point will be obtained using both methods. The results show that the Monte Carlo simulation produces lower inventory costs.