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A multicriteria decision making model for reverse logistics using analytical hierarchy process

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  • Barker, Theresa J.
  • Zabinsky, Zelda B.

Abstract

Product recovery activities such as recycling, refurbishing and direct reuse are becoming integral to manufacturing supply chains. This study presents a multicriteria decision making model for reverse logistics using analytical hierarchy process (AHP). The AHP model evaluates a hierarchy of criteria and subcriteria, including costs and business relations, for critical decisions regarding network design. Using sensitivity analysis with AHP, the work provides insights into the preference ordering among eight alternative network configurations. For instance, the choice of test sites is largely dependent on the potential for cost savings on testing procedures and transportation of scrap, and this decision is not sensitive to the importance of business relations. By contrast, the choice of collection sites is largely determined by the relative importance of business relations considerations vs. cost considerations. As well, the processing location decision favors a third-party reprocessor if there is little need to protect proprietary product knowledge and cost savings is very important. The model is demonstrated using three case studies of real-world applications.

Suggested Citation

  • Barker, Theresa J. & Zabinsky, Zelda B., 2011. "A multicriteria decision making model for reverse logistics using analytical hierarchy process," Omega, Elsevier, vol. 39(5), pages 558-573, October.
  • Handle: RePEc:eee:jomega:v:39:y:2011:i:5:p:558-573
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    References listed on IDEAS

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    Cited by:

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    2. Mohamed Akli Achabou & Sihem Dekhili & Linda Prince, 2014. "Proactive CSR: Analytical Hierarchy Process And Empirical Assessment In The French Context," Working Papers 2014-75, Department of Research, Ipag Business School.
    3. Ruiz-Benítez, Rocío & Ketzenberg, Michael & van der Laan, Erwin A., 2014. "Managing consumer returns in high clockspeed industries," Omega, Elsevier, vol. 43(C), pages 54-63.
    4. Schulz, Tobias & Voigt, Guido, 2014. "A flexibly structured lot sizing heuristic for a static remanufacturing system," Omega, Elsevier, vol. 44(C), pages 21-31.
    5. Qiang, Qiang & Ke, Ke & Anderson, Trisha & Dong, June, 2013. "The closed-loop supply chain network with competition, distribution channel investment, and uncertainties," Omega, Elsevier, vol. 41(2), pages 186-194.
    6. Ding, Huiping & Zhao, Qilan & An, Zhirong & Tang, Ou, 2016. "Collaborative mechanism of a sustainable supply chain with environmental constraints and carbon caps," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 191-207.
    7. Andriosopoulos, Dimitrios & Gaganis, Chrysovalantis & Pasiouras, Fotios & Zopounidis, Constantin, 2012. "An application of multicriteria decision aid models in the prediction of open market share repurchases," Omega, Elsevier, vol. 40(6), pages 882-890.
    8. repec:ipg:wpaper:2014-075 is not listed on IDEAS
    9. repec:eee:jomega:v:70:y:2017:i:c:p:58-76 is not listed on IDEAS
    10. Li, Jingpeng & Burke, Edmund K. & Curtois, Tim & Petrovic, Sanja & Qu, Rong, 2012. "The falling tide algorithm: A new multi-objective approach for complex workforce scheduling," Omega, Elsevier, vol. 40(3), pages 283-293.
    11. Xu, Yan & Yeh, Chung-Hsing, 2012. "An integrated approach to evaluation and planning of best practices," Omega, Elsevier, vol. 40(1), pages 65-78, January.
    12. Govindan, Kannan & Soleimani, Hamed & Kannan, Devika, 2015. "Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future," European Journal of Operational Research, Elsevier, vol. 240(3), pages 603-626.
    13. Ivlev, Ilya & Vacek, Jakub & Kneppo, Peter, 2015. "Multi-criteria decision analysis for supporting the selection of medical devices under uncertainty," European Journal of Operational Research, Elsevier, vol. 247(1), pages 216-228.
    14. repec:eee:ejores:v:267:y:2018:i:2:p:478-495 is not listed on IDEAS
    15. Verdecho, María-José & Alfaro-Saiz, Juan-Jose & Rodriguez-Rodriguez, Raul & Ortiz-Bas, Angel, 2012. "A multi-criteria approach for managing inter-enterprise collaborative relationships," Omega, Elsevier, vol. 40(3), pages 249-263.
    16. Peng, Yi & Kou, Gang & Wang, Guoxun & Shi, Yong, 2011. "FAMCDM: A fusion approach of MCDM methods to rank multiclass classification algorithms," Omega, Elsevier, vol. 39(6), pages 677-689, December.
    17. Liang, Liang & Wang, Xihui & Gao, Jianguo, 2012. "An option contract pricing model of relief material supply chain," Omega, Elsevier, vol. 40(5), pages 594-600.
    18. Ramanathan, Usha, 2013. "Aligning supply chain collaboration using Analytic Hierarchy Process," Omega, Elsevier, vol. 41(2), pages 431-440.
    19. Liu, Qian & Zheng, Lucy, 2016. "Assessing the economic performance of an environmental sustainable supply chain in reducing environmental externalitiesAuthor-Name: Ding, Huiping," European Journal of Operational Research, Elsevier, vol. 255(2), pages 463-480.
    20. Bilbao-Terol, Amelia & Arenas-Parra, Mar & Cañal-Fernández, Verónica & Antomil-Ibias, José, 2014. "Using TOPSIS for assessing the sustainability of government bond funds," Omega, Elsevier, vol. 49(C), pages 1-17.
    21. Volker Trauzettel, 2015. "A Case Study On Optimizing Parts Supply In Manufacturing By Reusable Containers," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 15, pages 161-174.

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