Location-Pricing Problem in the Closed-Loop Supply Chain Network Design Under Uncertainty

  • Abed Zabihian
  • Reza Tavakkoli-Moghaddam
  • Pedram MemariEmail author
  • Fariborz Jolai
Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 803)


This paper presents a bi-objective credibility-based fuzzy mathematical programing model to design a location-pricing problem in a closed-loop supply chain with a single product under uncertainty. This problem aims to maximize the total supply chain profit by determining the optimal number of the facility location, collection and distribution centers (CDCs), the assignment of the customer zones to the CDCs and the CDCs to the plants, the price of the new product and the incentive value of the returned product that should be offered for the used product. In order to cope with the uncertainties, an appropriate fuzzy method based on the credibility measure is developed. To validate the presented model, a numerical example is taken into account.


Location-pricing decision Closed-loop supply chain Fuzzy mathematical programming Credibility theory 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Abed Zabihian
    • 1
  • Reza Tavakkoli-Moghaddam
    • 1
  • Pedram Memari
    • 1
    Email author
  • Fariborz Jolai
    • 1
  1. 1.School of Industrial Engineering, College of EngineeringUniversity of TehranTehranIran

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