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Handbook of Optimization pp 553–573Cite as

Optimal Location of New Distribution Center in Supply Chain Network Design with Varying Inventory Capacity

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Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 38))

Abstract

This paper presents a model that incorporates the concepts of a systems approach (theory of constraints) into supply chain network design to determine the optimal location of a new distribution center in supply chain network design. A Non-dominated sorting Particle Swarm Optimization (NSPSO) Algorithm is proposed to solve the problem at hand and two settings for handling the constraints are, also, presented and compared. Results showed improved results of the proposed formulation over published results especially with respect to the total inventory capacity throughout the supply chain.

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Author information

Authors and Affiliations

  1. Decision Support and Future Studies Center, Faculty of Computers and Information, Cairo University, Cairo, Egypt

    Hisham M. Abdelsalam, Magy Magdy & AbdoulRahman M. AlShaar

Authors
  1. Hisham M. Abdelsalam
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  2. Magy Magdy
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  3. AbdoulRahman M. AlShaar
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Corresponding author

Correspondence to Hisham M. Abdelsalam .

Editor information

Editors and Affiliations

  1. Technical University of Ostrava, 17. listopadu 15, Ostrava-Porub, 708 33, Czech Republic

    Ivan Zelinka

  2. , Faculty of Electrical Engineering and, Technical University of Ostrava, 17. listopadu 15, Ostrava-Poruba, 708 33, Czech Republic

    Václav Snášel

  3. Auburn, 98071, USA

    Ajith Abraham

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Abdelsalam, H.M., Magdy, M., AlShaar, A.M. (2013). Optimal Location of New Distribution Center in Supply Chain Network Design with Varying Inventory Capacity. In: Zelinka, I., Snášel, V., Abraham, A. (eds) Handbook of Optimization. Intelligent Systems Reference Library, vol 38. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30504-7_22

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  • DOI: https://doi.org/10.1007/978-3-642-30504-7_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30503-0

  • Online ISBN: 978-3-642-30504-7

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