{"title":"Heuristic-Based Hybrid Algorithm for Value Stream Design with Milk-Run Approach","authors":"Safiye Turgay, Canberk Çoban","doi":"10.37394/23207.2024.21.103","DOIUrl":null,"url":null,"abstract":"In this study, a heuristic algorithm has been developed for the Milk-Run related to the vehicle routing problem. It aimed to supply in the right place and at the right time in a short time with the internal logistics system approach. Since the proposed problem formulation is NP-hard, we suggested a heuristic-based hybrid genetic algorithm method to solve the problem. Real life problem is solved with a milk run approach inspired by vehicle routing problems. Firstly the model was developed with mixed integer linear programming then the problem was solved with the proposed hybrid genetic algorithm. The aim reduce the total transportation cost in the network and the number of vehicles required by using an efficient vehicle routing strategy. It explains the change in the existing distribution and collection systems of a logistics service company. The response of variables such as time, weight, volume, and pallet was measured under various scenarios with cost and time savings by applying Milk-Run optimization. The deterministic model and the proposed heuristic algorithm compared the previews and outputs of the paths. Accordingly, 30% and 50% discounts were made on restrictions for six different scenarios.","PeriodicalId":39427,"journal":{"name":"WSEAS Transactions on Business and Economics","volume":"118 46","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"WSEAS Transactions on Business and Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37394/23207.2024.21.103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 0
Abstract
In this study, a heuristic algorithm has been developed for the Milk-Run related to the vehicle routing problem. It aimed to supply in the right place and at the right time in a short time with the internal logistics system approach. Since the proposed problem formulation is NP-hard, we suggested a heuristic-based hybrid genetic algorithm method to solve the problem. Real life problem is solved with a milk run approach inspired by vehicle routing problems. Firstly the model was developed with mixed integer linear programming then the problem was solved with the proposed hybrid genetic algorithm. The aim reduce the total transportation cost in the network and the number of vehicles required by using an efficient vehicle routing strategy. It explains the change in the existing distribution and collection systems of a logistics service company. The response of variables such as time, weight, volume, and pallet was measured under various scenarios with cost and time savings by applying Milk-Run optimization. The deterministic model and the proposed heuristic algorithm compared the previews and outputs of the paths. Accordingly, 30% and 50% discounts were made on restrictions for six different scenarios.
期刊介绍:
WSEAS Transactions on Business and Economics publishes original research papers relating to the global economy. We aim to bring important work using any economic approach to a wide international audience and therefore only publish papers of exceptional scientific value that advance our understanding of finances. The research presented must transcend the limits of case studies, while both experimental and theoretical studies are accepted. While its main emphasis is economic, it is a multi-disciplinary journal and therefore its content mirrors the diverse interests and approaches of scholars involved with the international dimensions of business, economics, finance, history, law, marketing, management, political science, and related areas. It also welcomes scholarly contributions from officials with government agencies, international agencies, and non-governmental organizations.