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Sustainable Logistics and Transportation

Optimization Models and Algorithms

  • Book
  • © 2017

Overview

  • Examines logistics and transportation problems with a sustainability perspective
  • Broadens understanding of new optimization models and algorithms for sustainable logistics and transportation problems
  • Contains models and algorithms with computational experiments and real-life applications

Part of the book series: Springer Optimization and Its Applications (SOIA, volume 129)

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Table of contents (10 chapters)

  1. Deterministic Models

  2. Modeling Under Uncertainty

Keywords

About this book

Focused on the logistics and transportation operations within a supply chain, this book brings together the latest models, algorithms, and optimization possibilities. Logistics and transportation problems are examined within a sustainability perspective to offer a comprehensive assessment of environmental, social, ethical, and economic performance measures. Featured models, techniques, and algorithms may be used to construct policies on alternative transportation modes and technologies, green logistics, and incentives by the incorporation of environmental, economic, and social measures.

Researchers, professionals, and graduate students in urban regional planning, logistics, transport systems, optimization, supply chain management, business administration, information science, mathematics, and industrial and systems engineering will find the real life and interdisciplinary issues presented in this book informative and useful. 

Editors and Affiliations

  • Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Didem Cinar

  • Department of Industrial and Systems Engineering, University of Florida, Gainesville, USA

    Konstantinos Gakis, Panos M. Pardalos

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