{"title":"马尔科夫链在印度尼西亚降低库存成本","authors":"Adinda Chamilia Mishani, Tedjo Sukmono","doi":"10.21070/ijins.v25i4.1184","DOIUrl":null,"url":null,"abstract":"PT. Varia Usaha Beton, facing an 8% decline in 2022 targets due to uncontrolled inventory and a 15,150-ton overstock of sand at its BSP Sayung plant, needed an effective solution. This study applied a Markov chain model with perfect enumeration to optimize sand inventory management. Qualitative data from observations, expert interviews, and company records (2021-2022) and quantitative analysis identified Policy 58 as optimal, reducing excess costs to Rp. 32,463,360 monthly. Implementing improvements in specific overstock states (3, 4, 5, and 6) provides a strategic approach to minimize sand overstock and associated costs. \nHighlight: \n \nInventory Decline: 8% target drop due to uncontrolled inventory in 2022. \nOptimal Policy: Policy 58 reduced monthly excess costs to Rp. 32,463,360. \nStrategic Improvements: Implement changes in states 3, 4, 5, and 6 to manage overstock. \n \n \nKeywoard: Inventory Control, Markov Chain, Perfect Enumeration, Overstock Management, Construction Materials","PeriodicalId":431998,"journal":{"name":"Indonesian Journal of Innovation Studies","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Markov Chains Slash Inventory Costs in Indonesia\",\"authors\":\"Adinda Chamilia Mishani, Tedjo Sukmono\",\"doi\":\"10.21070/ijins.v25i4.1184\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PT. Varia Usaha Beton, facing an 8% decline in 2022 targets due to uncontrolled inventory and a 15,150-ton overstock of sand at its BSP Sayung plant, needed an effective solution. This study applied a Markov chain model with perfect enumeration to optimize sand inventory management. Qualitative data from observations, expert interviews, and company records (2021-2022) and quantitative analysis identified Policy 58 as optimal, reducing excess costs to Rp. 32,463,360 monthly. Implementing improvements in specific overstock states (3, 4, 5, and 6) provides a strategic approach to minimize sand overstock and associated costs. \\nHighlight: \\n \\nInventory Decline: 8% target drop due to uncontrolled inventory in 2022. \\nOptimal Policy: Policy 58 reduced monthly excess costs to Rp. 32,463,360. \\nStrategic Improvements: Implement changes in states 3, 4, 5, and 6 to manage overstock. \\n \\n \\nKeywoard: Inventory Control, Markov Chain, Perfect Enumeration, Overstock Management, Construction Materials\",\"PeriodicalId\":431998,\"journal\":{\"name\":\"Indonesian Journal of Innovation Studies\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Indonesian Journal of Innovation Studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21070/ijins.v25i4.1184\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indonesian Journal of Innovation Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21070/ijins.v25i4.1184","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PT. Varia Usaha Beton, facing an 8% decline in 2022 targets due to uncontrolled inventory and a 15,150-ton overstock of sand at its BSP Sayung plant, needed an effective solution. This study applied a Markov chain model with perfect enumeration to optimize sand inventory management. Qualitative data from observations, expert interviews, and company records (2021-2022) and quantitative analysis identified Policy 58 as optimal, reducing excess costs to Rp. 32,463,360 monthly. Implementing improvements in specific overstock states (3, 4, 5, and 6) provides a strategic approach to minimize sand overstock and associated costs.
Highlight:
Inventory Decline: 8% target drop due to uncontrolled inventory in 2022.
Optimal Policy: Policy 58 reduced monthly excess costs to Rp. 32,463,360.
Strategic Improvements: Implement changes in states 3, 4, 5, and 6 to manage overstock.
Keywoard: Inventory Control, Markov Chain, Perfect Enumeration, Overstock Management, Construction Materials