Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/8615
Author(s): | Ramos, T. Gomes, M. I. Barbosa-Póvoa, A. P. |
Date: | 2014 |
Title: | Planning a sustainable reverse logistics system: balancing costs with environmental and social concerns |
Volume: | 48 |
Pages: | 60 - 74 |
ISSN: | 0305-0483 |
DOI (Digital Object Identifier): | 10.1016/j.omega.2013.11.006 |
Keywords: | Sustainability Green logistics Social logistics Service areas Routing Scheduling |
Abstract: | The present work aims to support tactical and operational planning decisions of reverse logistics systems while considering economical, environmental and social objectives. In the literature, when addressing such systems economical aspects have been often used, while environmental concerns have been only recently emerging. The social component is the one less studied, and rarely the combination of the three concerns has been analyzed. This work address the three objectives and was motivated by the challenge of supporting decisions makers when managing a real case study of a recyclable waste collection system, where strategic decisions on the number and location of depots, vehicles and containers were taken beforehand. Tactical and operational decisions are studied involving the establishment of service areas for each depot and the definition and scheduling of collection routes for each vehicle. Such decisions should represent a compromise solution between the three objectives considered and support a sustainable reverse logistics plan. A multi-objective solution approach based on mixed-integer linear programming models is developed. Trade-offs between the objectives are discussed. Moreover the solutions obtained when each objective is tackled individually are compared between themselves and with the balanced solution. |
Peerreviewed: | yes |
Access type: | Open Access |
Appears in Collections: | BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Files in This Item:
File | Description | Size | Format | |
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Ramos_et_al_2014_Omega.pdf | Versão Editora | 2,62 MB | Adobe PDF | View/Open |
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