Sustainable Logistics Network Design Under Uncertainty

Rozita Daghigh (), Mir Saman Pishvaee () and Seyed Ali Torabi ()
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Rozita Daghigh: Iran University of Science and Technology
Mir Saman Pishvaee: Iran University of Science and Technology
Seyed Ali Torabi: College of Engineering, University of Tehran

A chapter in Sustainable Logistics and Transportation, 2017, pp 115-151 from Springer

Abstract: Abstract This chapter mainly discusses the mathematical programming models and methods used to design sustainable logistics networks (SLN) under epistemic uncertainty. Firstly, the relevant concepts and definitions are described and analyzed. Thereafter, a systemic review and analysis of the recent literature is provided to explore the most attractive research avenues in this area. A comprehensive description is given on environmental and social impact assessment methods in order to facilitate the quantification of environmental and social burden in the mathematical decision models. Two selected mathematical programming models for SLN design problem under uncertain data are provided and explained in detail to support quantitative decision-making in this area. Finally, a real industrial case study is described and investigated to show the applicability of the previously discussed mathematical programming methods.

Keywords: Sustainable logistics; Sustainable supply chain network design; Social responsibility; Environmental and social impact assessment methods; Multi-objective optimization (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-319-69215-9_6

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DOI: 10.1007/978-3-319-69215-9_6

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