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Sustainable Logistics Network Design Under Uncertainty

In: Sustainable Logistics and Transportation

Author

Listed:
  • 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)

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.

Suggested Citation

  • Rozita Daghigh & Mir Saman Pishvaee & Seyed Ali Torabi, 2017. "Sustainable Logistics Network Design Under Uncertainty," Springer Optimization and Its Applications, in: Didem Cinar & Konstantinos Gakis & Panos M. Pardalos (ed.), Sustainable Logistics and Transportation, pages 115-151, Springer.
    • Handle: RePEc:spr:spochp:978-3-319-69215-9_6
    DOI: 10.1007/978-3-319-69215-9_6
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