{"title":"多eselon分销成本优化多产品使用一个线性规划混合整数","authors":"E. Fatma, Supardi Manurung","doi":"10.25292/J.MTL.V8I1.418","DOIUrl":null,"url":null,"abstract":"The transportation problem is one of the fundamental problems in distribution network to minimize transportation costs by considering resource constraints and meeting the customer demand. This study aims to minimize distribution costs of a distribution networks of soft drink company using the Mix Integer Linear Programming (MILP). This optimization method considers transportation costs, material handling and transportation costs. The addition of a distribution center (DC) as a consolidation center of goods sent to retailers makes the distribution process more efficient. Facility and material handling costs in DC, can be compensated with lower transportation costs. The suggested network can reduce distribution costs by 15.29% compared to the existing methods.","PeriodicalId":227253,"journal":{"name":"Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimasi Biaya Distribusi Multi-eselon untuk Multi-produk Menggunakan Mix Integer Linier Programming\",\"authors\":\"E. Fatma, Supardi Manurung\",\"doi\":\"10.25292/J.MTL.V8I1.418\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The transportation problem is one of the fundamental problems in distribution network to minimize transportation costs by considering resource constraints and meeting the customer demand. This study aims to minimize distribution costs of a distribution networks of soft drink company using the Mix Integer Linear Programming (MILP). This optimization method considers transportation costs, material handling and transportation costs. The addition of a distribution center (DC) as a consolidation center of goods sent to retailers makes the distribution process more efficient. Facility and material handling costs in DC, can be compensated with lower transportation costs. The suggested network can reduce distribution costs by 15.29% compared to the existing methods.\",\"PeriodicalId\":227253,\"journal\":{\"name\":\"Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25292/J.MTL.V8I1.418\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25292/J.MTL.V8I1.418","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimasi Biaya Distribusi Multi-eselon untuk Multi-produk Menggunakan Mix Integer Linier Programming
The transportation problem is one of the fundamental problems in distribution network to minimize transportation costs by considering resource constraints and meeting the customer demand. This study aims to minimize distribution costs of a distribution networks of soft drink company using the Mix Integer Linear Programming (MILP). This optimization method considers transportation costs, material handling and transportation costs. The addition of a distribution center (DC) as a consolidation center of goods sent to retailers makes the distribution process more efficient. Facility and material handling costs in DC, can be compensated with lower transportation costs. The suggested network can reduce distribution costs by 15.29% compared to the existing methods.