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2017 | OriginalPaper | Buchkapitel

Sustainable Logistics Network Design Under Uncertainty

verfasst von : Rozita Daghigh, Mir Saman Pishvaee, Seyed Ali Torabi

Erschienen in: Sustainable Logistics and Transportation

Verlag: Springer International Publishing

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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.

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Metadaten
Titel
Sustainable Logistics Network Design Under Uncertainty
verfasst von
Rozita Daghigh
Mir Saman Pishvaee
Seyed Ali Torabi
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-69215-9_6