Michelle Zambra-Rivera, Pablo A. Miranda-González, Carola A. Blazquez
{"title":"A multiperiod household waste collection system for a set of rural islands with dynamic transfer port selection","authors":"Michelle Zambra-Rivera, Pablo A. Miranda-González, Carola A. Blazquez","doi":"10.1007/s11081-023-09862-4","DOIUrl":null,"url":null,"abstract":"<p>The design of a household waste collection system must integrate decisions related to planning and control of all related operations, which may generate significant economic impacts to the organization responsible of addressing the problem as well as social impacts to involved communities. This study proposed a mixed integer linear programming model with multiple periods, which aims at designing a household waste collection system for a set of rural islands according to a set of visit patterns with a single barge for a multiple period planning horizon. The proposed model simultaneously optimizes the selection of collection sites or ports for each island and a mainland transfer port to unload the collected household waste along with a set of daily visit sequences associated with the selected ports, while minimizing total waste transportation costs. The proposed model is applied to a particular rural archipelago in southern Chile. The model solution provides an efficient waste collection system design that addresses a current ecological and health problems in the studied area.</p>","PeriodicalId":56141,"journal":{"name":"Optimization and Engineering","volume":"3 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optimization and Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s11081-023-09862-4","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The design of a household waste collection system must integrate decisions related to planning and control of all related operations, which may generate significant economic impacts to the organization responsible of addressing the problem as well as social impacts to involved communities. This study proposed a mixed integer linear programming model with multiple periods, which aims at designing a household waste collection system for a set of rural islands according to a set of visit patterns with a single barge for a multiple period planning horizon. The proposed model simultaneously optimizes the selection of collection sites or ports for each island and a mainland transfer port to unload the collected household waste along with a set of daily visit sequences associated with the selected ports, while minimizing total waste transportation costs. The proposed model is applied to a particular rural archipelago in southern Chile. The model solution provides an efficient waste collection system design that addresses a current ecological and health problems in the studied area.
期刊介绍:
Optimization and Engineering is a multidisciplinary journal; its primary goal is to promote the application of optimization methods in the general area of engineering sciences. We expect submissions to OPTE not only to make a significant optimization contribution but also to impact a specific engineering application.
Topics of Interest:
-Optimization: All methods and algorithms of mathematical optimization, including blackbox and derivative-free optimization, continuous optimization, discrete optimization, global optimization, linear and conic optimization, multiobjective optimization, PDE-constrained optimization & control, and stochastic optimization. Numerical and implementation issues, optimization software, benchmarking, and case studies.
-Engineering Sciences: Aerospace engineering, biomedical engineering, chemical & process engineering, civil, environmental, & architectural engineering, electrical engineering, financial engineering, geosciences, healthcare engineering, industrial & systems engineering, mechanical engineering & MDO, and robotics.