{"title":"A location-sizing and routing model for a biomethane production chain fed by municipal waste","authors":"Anna Livia Croella , Luca Fraccascia","doi":"10.1016/j.cie.2024.110714","DOIUrl":null,"url":null,"abstract":"<div><div>This paper proposes an integrated approach for a biomethane supply chain from Organic Fraction of Municipal Solid Waste (OFMSW), addressing both strategic plant location-sizing and tactical vehicle routing. A two-stage iterative approach following a cluster-first location&sizing&route-second approach is implemented to optimize investment and transportation costs. A novel classification of waste producers into small and large categories allows for a tailored approach, minimizing transportation costs through waste pooling for small producers and allocating vehicles effectively for large producers. Extensive computational experiments on a case study on the Lazio Region demonstrate the cost-effectiveness of the proposed approach, which saves 30% of transportation costs with respect to a location-sizing model. Additionally, the sensitivity analysis highlights the significant impact of including huge-scale plants in the solution.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"198 ","pages":"Article 110714"},"PeriodicalIF":6.7000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Industrial Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0360835224008362","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes an integrated approach for a biomethane supply chain from Organic Fraction of Municipal Solid Waste (OFMSW), addressing both strategic plant location-sizing and tactical vehicle routing. A two-stage iterative approach following a cluster-first location&sizing&route-second approach is implemented to optimize investment and transportation costs. A novel classification of waste producers into small and large categories allows for a tailored approach, minimizing transportation costs through waste pooling for small producers and allocating vehicles effectively for large producers. Extensive computational experiments on a case study on the Lazio Region demonstrate the cost-effectiveness of the proposed approach, which saves 30% of transportation costs with respect to a location-sizing model. Additionally, the sensitivity analysis highlights the significant impact of including huge-scale plants in the solution.
期刊介绍：
Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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