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A mathematical programming model for recycling network design under uncertainty: an interval-stochastic robust optimization model

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Abstract

The development of mathematical and optimization models for reverse supply network design has concerned considerable interest over the past decades. However, the uncertainties that are inherent in the network design and the complex interactions among various uncertain parameters are challenging the capabilities of these developed tools. The aim of this paper is to propose a new mathematical programming model for recycling network design in the iron and steel industry. The considered recycling network is multi-echelon, multi-facility, multi-product, and multi-supplier. Moreover, another objective of this research is to introduce an interval-stochastic robust optimization methodology to deal with various uncertainties in the proposed model. Computational experiments are provided to demonstrate the applicability of the proposed model in recycling network design.

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Authors and Affiliations

  1. Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

    Behnam Vahdani

  2. Department of Industrial Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran

    Mahdi Naderi-Beni

Authors
  1. Behnam Vahdani
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  2. Mahdi Naderi-Beni
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Correspondence to Behnam Vahdani.

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Vahdani, B., Naderi-Beni, M. A mathematical programming model for recycling network design under uncertainty: an interval-stochastic robust optimization model. Int J Adv Manuf Technol 73, 1057–1071 (2014). https://doi.org/10.1007/s00170-014-5852-1

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  • DOI: https://doi.org/10.1007/s00170-014-5852-1

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