A case-oriented approach to a lead/acid battery closed-loop supply chain network design under risk and uncertainty

SUBULAN K., BAYKASOĞLU A., ÖZSOYDAN F. B., TAŞAN A. S., SELİM H.

JOURNAL OF MANUFACTURING SYSTEMS, cilt.37, ss.340-361, 2015 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 37
  • Basım Tarihi: 2015
  • Doi Numarası: 10.1016/j.jmsy.2014.07.013
  • Dergi Adı: JOURNAL OF MANUFACTURING SYSTEMS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.340-361
  • Anahtar Kelimeler: Closed-loop supply chain network design, Risk management, Stochastic programming, Possibilistic programming, Mixed-integer programming, REVERSE LOGISTICS NETWORK, VALUE-AT-RISK, PROGRAMMING APPROACH, STOCHASTIC-MODEL, FUZZY, OPTIMIZATION, INVENTORY, SYSTEM
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

Anew scenario based stochastic and possibilistic mixed integer programming model for a multi-objective closed-loop supply chain network design problem by considering financial and collection risks is proposed. Uncertainties in the form of randomness and fuzziness are handled together for a better reflection of the problem. Different risk measures such as "variability index", "downside risk" and "conditional value at risk" are integrated within the proposed model. Particularly, for the downside risk measure, target/threshold values are considered as fuzzy and described by their own possibility distribution. The proposed hybrid model is applied to an illustrative example inspired by the lead/acid industry in Turkey. Computational results of applying the different risk measures suggest that using downside risk model with fuzzy targets is found to be an appropriate choice for the stated closed-loop supply chain network design problem in terms of "computational efficiency", "handling uncertainty" and "solution quality" (C) 2014 The Society of Manufacturing Engineers. Published by Elsevier Ltd. All rights reserved.