{"title":"Research on Model and Algorithm of Location-Inventory-Routing Problem Based on Environmental Protection","authors":"Jiacheng Li, M. Noto, Yang Zhang","doi":"10.1109/TechDev57621.2022.00020","DOIUrl":null,"url":null,"abstract":"With the advent of the post-industrial era, the problem of environmental degradation caused by the increase in carbon dioxide has become increasingly prominent. As a main source of greenhouse gas emissions, the operation of the logistics supply chain has been included as a major emission reduction target by the government. Traditional location-inventory-routing problem (LIRP) seldom involves the research of low-carbon development models and are therefore unsuitable for the economic and environmental dual-oriented development strategy advocated by society. On the basis of the traditional LIRP, this paper studies site selection, inventory, and route integration for low-carbon material distribution, constructs a low-carbon supply chain network model, and uses an improved sparrow search algorithm to solve the problem of maximizing the supply chain economy and overall optimization of the environment. Experimental verification shows that the proposed strategy is practical and effective in solving this problem.","PeriodicalId":171777,"journal":{"name":"2022 11th International Conference on Computer Technologies and Development (TechDev)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 11th International Conference on Computer Technologies and Development (TechDev)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TechDev57621.2022.00020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the advent of the post-industrial era, the problem of environmental degradation caused by the increase in carbon dioxide has become increasingly prominent. As a main source of greenhouse gas emissions, the operation of the logistics supply chain has been included as a major emission reduction target by the government. Traditional location-inventory-routing problem (LIRP) seldom involves the research of low-carbon development models and are therefore unsuitable for the economic and environmental dual-oriented development strategy advocated by society. On the basis of the traditional LIRP, this paper studies site selection, inventory, and route integration for low-carbon material distribution, constructs a low-carbon supply chain network model, and uses an improved sparrow search algorithm to solve the problem of maximizing the supply chain economy and overall optimization of the environment. Experimental verification shows that the proposed strategy is practical and effective in solving this problem.