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Robust global supply chain network design under disruption and uncertainty considering resilience strategies: A parallel memetic algorithm for a real-life case study

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  • Hasani, Aliakbar
  • Khosrojerdi, Amirhossein

Abstract

A mixed-integer, non-linear model is developed for designing robust global supply chain networks under uncertainty. Six resilience strategies are proposed to mitigate the risk of correlated disruptions. In addition, an efficient parallel Taguchi-based memetic algorithm is developed that incorporates a customized hybrid parallel adaptive large neighborhood search. Fitness landscape analysis is used to determine an effective selection of neighborhood structures, while the upper bound found by Lagrangian relaxation heuristic is used to evaluate quality of solutions and effectiveness of the proposed metaheuristic. The model is solved for a real-life case of a global medical device manufacturer to extract managerial insights.

Suggested Citation

  • Hasani, Aliakbar & Khosrojerdi, Amirhossein, 2016. "Robust global supply chain network design under disruption and uncertainty considering resilience strategies: A parallel memetic algorithm for a real-life case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 87(C), pages 20-52.
  • Handle: RePEc:eee:transe:v:87:y:2016:i:c:p:20-52
    DOI: 10.1016/j.tre.2015.12.009
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    1. Park, YoungWon & Hong, Paul & Roh, James Jungbae, 2013. "Supply chain lessons from the catastrophic natural disaster in Japan," Business Horizons, Elsevier, vol. 56(1), pages 75-85.
    2. Ivanov, Dmitry & Sokolov, Boris, 2013. "Control and system-theoretic identification of the supply chain dynamics domain for planning, analysis and adaptation of performance under uncertainty," European Journal of Operational Research, Elsevier, vol. 224(2), pages 313-323.
    3. Hammami, Ramzi & Frein, Yannick & Hadj-Alouane, Atidel B., 2008. "Supply chain design in the delocalization context: Relevant features and new modeling tendencies," International Journal of Production Economics, Elsevier, vol. 113(2), pages 641-656, June.
    4. Dimitris Bertsimas & Melvyn Sim, 2004. "The Price of Robustness," Operations Research, INFORMS, vol. 52(1), pages 35-53, February.
    5. Rezapour, Shabnam & Farahani, Reza Zanjirani & Dullaert, Wout & De Borger, Bruno, 2014. "Designing a new supply chain for competition against an existing supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 124-140.
    6. Jabbarzadeh, Armin & Fahimnia, Behnam & Seuring, Stefan, 2014. "Dynamic supply chain network design for the supply of blood in disasters: A robust model with real world application," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 225-244.
    7. Hammami, Ramzi & Frein, Yannick & Hadj-Alouane, Atidel B., 2009. "A strategic-tactical model for the supply chain design in the delocalization context: Mathematical formulation and a case study," International Journal of Production Economics, Elsevier, vol. 122(1), pages 351-365, November.
    8. Aliakbar Hasani & Seyed Hessameddin Zegordi & Ehsan Nikbakhsh, 2015. "Robust closed-loop global supply chain network design under uncertainty: the case of the medical device industry," International Journal of Production Research, Taylor & Francis Journals, vol. 53(5), pages 1596-1624, March.
    9. Perron, Sylvain & Hansen, Pierre & Le Digabel, Sébastien & Mladenovic, Nenad, 2010. "Exact and heuristic solutions of the global supply chain problem with transfer pricing," European Journal of Operational Research, Elsevier, vol. 202(3), pages 864-879, May.
    10. Hishamuddin, Hawa & Sarker, Ruhul A. & Essam, Daryl, 2014. "A recovery mechanism for a two echelon supply chain system under supply disruption," Economic Modelling, Elsevier, vol. 38(C), pages 555-563.
    11. Vahdani, Behnam & Tavakkoli-Moghaddam, Reza & Modarres, Mohammad & Baboli, Armand, 2012. "Reliable design of a forward/reverse logistics network under uncertainty: A robust-M/M/c queuing model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(6), pages 1152-1168.
    12. Marufuzzaman, Mohammad & Eksioglu, Sandra D. & Li, Xiaopeng & Wang, Jin, 2014. "Analyzing the impact of intermodal-related risk to the design and management of biofuel supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 69(C), pages 122-145.
    13. Melo, M.T. & Nickel, S. & Saldanha-da-Gama, F., 2009. "Facility location and supply chain management - A review," European Journal of Operational Research, Elsevier, vol. 196(2), pages 401-412, July.
    14. Baghalian, Atefeh & Rezapour, Shabnam & Farahani, Reza Zanjirani, 2013. "Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case," European Journal of Operational Research, Elsevier, vol. 227(1), pages 199-215.
    15. Schmitt, Amanda J. & Sun, Siyuan Anthony & Snyder, Lawrence V. & Shen, Zuo-Jun Max, 2015. "Centralization versus decentralization: Risk pooling, risk diversification, and supply chain disruptions," Omega, Elsevier, vol. 52(C), pages 201-212.
    16. Vidal, Carlos J. & Goetschalckx, Marc, 2001. "A global supply chain model with transfer pricing and transportation cost allocation," European Journal of Operational Research, Elsevier, vol. 129(1), pages 134-158, February.
    17. Goetschalckx, Marc & Vidal, Carlos J. & Dogan, Koray, 2002. "Modeling and design of global logistics systems: A review of integrated strategic and tactical models and design algorithms," European Journal of Operational Research, Elsevier, vol. 143(1), pages 1-18, November.
    18. Bueno-Solano, Alfredo & Cedillo-Campos, Miguel Gastón, 2014. "Dynamic impact on global supply chains performance of disruptions propagation produced by terrorist acts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 1-12.
    19. Chen, Qi & Li, Xiaopeng & Ouyang, Yanfeng, 2011. "Joint inventory-location problem under the risk of probabilistic facility disruptions," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 991-1003, August.
    20. Liberatore, Federico & Scaparra, Maria P. & Daskin, Mark S., 2012. "Hedging against disruptions with ripple effects in location analysis," Omega, Elsevier, vol. 40(1), pages 21-30, January.
    21. Gedik, Ridvan & Medal, Hugh & Rainwater, Chase & Pohl, Ed A. & Mason, Scott J., 2014. "Vulnerability assessment and re-routing of freight trains under disruptions: A coal supply chain network application," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 45-57.
    22. Goh, Mark & Lim, Joseph Y.S. & Meng, Fanwen, 2007. "A stochastic model for risk management in global supply chain networks," European Journal of Operational Research, Elsevier, vol. 182(1), pages 164-173, October.
    23. Wilhelm, Wilbert & Liang, Dong & Rao, Brijesh & Warrier, Deepak & Zhu, Xiaoyan & Bulusu, Sharath, 2005. "Design of international assembly systems and their supply chains under NAFTA," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 41(6), pages 467-493, November.
    24. Peng, Peng & Snyder, Lawrence V. & Lim, Andrew & Liu, Zuli, 2011. "Reliable logistics networks design with facility disruptions," Transportation Research Part B: Methodological, Elsevier, vol. 45(8), pages 1190-1211, September.
    25. Costantino, Nicola & Dotoli, Mariagrazia & Falagario, Marco & Fanti, Maria Pia & Mangini, Agostino Marcello, 2012. "A model for supply management of agile manufacturing supply chains," International Journal of Production Economics, Elsevier, vol. 135(1), pages 451-457.
    26. Meixell, Mary J. & Gargeya, Vidyaranya B., 2005. "Global supply chain design: A literature review and critique," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 41(6), pages 531-550, November.
    27. Cantor, David E. & Blackhurst, Jennifer V. & Cortes, Juan David, 2014. "The clock is ticking: The role of uncertainty, regulatory focus, and level of risk on supply chain disruption decision making behavior," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 72(C), pages 159-172.
    28. Madadi, AliReza & Kurz, Mary E. & Mason, Scott J. & Taaffe, Kevin M., 2014. "Supply chain design under quality disruptions and tainted materials delivery," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 105-123.
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