Multi-objective Based Fuzzy Mathematical Programming Model for Green Logistics Network Design Under Uncertainty

Bin Yang (), Weishan Sun (), Yong Li (), Zhihua Hu () and Jiankun Hu ()
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Bin Yang: Shanghai Maritime University
Weishan Sun: Shanghai Maritime University
Yong Li: Shanghai Maritime University
Zhihua Hu: Shanghai Maritime University
Jiankun Hu: Shanghai Maritime University

A chapter in LISS 2014, 2015, pp 1399-1406 from Springer

Abstract: Abstract Current environmental issues are reflected in the environmental legislation of several countries. Because of the significance of environmental issues, enterprises actively seek ways in which to reduce CO2 emission across the logistics network Elhedhli and Merrick; Transp Res Part D 17(5):370–379, 2012. This paper develops a multi-objective fuzzy programming model for designing a strategic green logistics network under uncertainty, which aims to minimize the total cost and the CO2 emissions. Besides, to solve the multi-objective fuzzy model, an interactive fuzzy solution approach is applied. The case study indicates the applicability of the model and the usefulness of the solution method.

Keywords: Green logistics; Logistics network design; Uncertainty; CO2 emission; Fuzzy mathematical programming model (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-43871-8_202

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DOI: 10.1007/978-3-662-43871-8_202

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