 A conceptual framework for modelling reverse logistics networksVedpal and Vipul Jain International Journal of Business Performance and Supply Chain Modelling, 2011, vol. 3, issue 4, 353-363 Abstract: Reverse logistics is receiving more attention because of the growing environmental and economical concerns. Some complex issues depending on social, technical and legislative factors are: how to prevent the environmental deterioration caused by the generation of wastes, how to minimise the generation of wastes, and how to enhance the value recovery from the wastes. In this paper, we have done an exhaustive literature review, highlighting the applications of various modelling approaches from reverse logistics perspectives. The considered modelling approaches are linear programming, mixed integer linear programming, goal programming and genetic algorithm. The reverse logistics issues are basically categorised into five categories namely distribution, production planning and control, information technology, business economics and integration/coordination. The paper proposes a framework focusing these issues and suggests an appropriate approach to model reverse logistics networks. Keywords: reverse logistics networks; linear programming; mixed integer linear programming; MILP; goal programming; genetic algorithms; GAs; modelling; literature review. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbpsc:v:3:y:2011:i:4:p:353-363 Access Statistics for this article More articles in International Journal of Business Performance and Supply Chain Modelling from Inderscience Enterprises Ltd |
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