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Tactical supply chain planning models with inherent flexibility: definition and review

Author

Listed:
  • Masoud Esmaeilikia

    (RMIT University)

  • Behnam Fahimnia

    (University of Technology Sydney)

  • Joeseph Sarkis

    (Worcester Polytechnic Institute)

  • Kannan Govindan

    (University of Southern Denmark)

  • Arun Kumar

    (RMIT University)

  • John Mo

    (RMIT University)

Abstract

Supply chains (SCs) can be managed at many levels. The use of tactical SC planning models with multiple flexibility options can help manage the usual operations efficiently and effectively, whilst improve the SC resiliency in response to inherent environmental uncertainties. This paper defines tactical SC flexibility and identifies tactical flexibility measures and options for development of flexible SC planning models. A classification of the existing literature of SC planning is introduced that highlights the characteristics of published flexibility inclusive models. Additional classifications from the reviewed literature are presented based on the integration of flexibility options used, solution methods utilized, and real world applications presented. These classifications are helpful for identifying research gaps in the current literature and provide insights for future modeling and research efforts in the field.

Suggested Citation

  • Masoud Esmaeilikia & Behnam Fahimnia & Joeseph Sarkis & Kannan Govindan & Arun Kumar & John Mo, 2016. "Tactical supply chain planning models with inherent flexibility: definition and review," Annals of Operations Research, Springer, vol. 244(2), pages 407-427, September.
    • Handle: RePEc:spr:annopr:v:244:y:2016:i:2:d:10.1007_s10479-014-1544-3
    DOI: 10.1007/s10479-014-1544-3
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    1. ManMohan S. Sodhi & Christopher S. Tang, 2012. "Supply Chain Risk Management," International Series in Operations Research & Management Science, in: Managing Supply Chain Risk, edition 127, chapter 0, pages 3-11, Springer.
    2. Lejeune, M.A., 2006. "A variable neighborhood decomposition search method for supply chain management planning problems," European Journal of Operational Research, Elsevier, vol. 175(2), pages 959-976, December.
    3. Jolayemi, Joel K. & Olorunniwo, Festus O., 2004. "A deterministic model for planning production quantities in a multi-plant, multi-warehouse environment with extensible capacities," International Journal of Production Economics, Elsevier, vol. 87(2), pages 99-113, January.
    4. Sabri, Ehap H. & Beamon, Benita M., 2000. "A multi-objective approach to simultaneous strategic and operational planning in supply chain design," Omega, Elsevier, vol. 28(5), pages 581-598, October.
    5. Burke, Gerard J. & Carrillo, Janice E. & Vakharia, Asoo J., 2007. "Single versus multiple supplier sourcing strategies," European Journal of Operational Research, Elsevier, vol. 182(1), pages 95-112, October.
    6. Denis Borenstein, 1998. "Intelligent decision support system for flexible manufacturing system design," Annals of Operations Research, Springer, vol. 77(0), pages 129-156, January.
    7. Giachetti, Ronald E. & Martinez, Luis D. & Saenz, Oscar A. & Chen, Chin-Sheng, 2003. "Analysis of the structural measures of flexibility and agility using a measurement theoretical framework," International Journal of Production Economics, Elsevier, vol. 86(1), pages 47-62, October.
    8. William C. Jordan & Stephen C. Graves, 1995. "Principles on the Benefits of Manufacturing Process Flexibility," Management Science, INFORMS, vol. 41(4), pages 577-594, April.
    9. Ouhimmou, M. & D'Amours, S. & Beauregard, R. & Ait-Kadi, D. & Chauhan, S. Singh, 2008. "Furniture supply chain tactical planning optimization using a time decomposition approach," European Journal of Operational Research, Elsevier, vol. 189(3), pages 952-970, September.
    10. Sakawa, Masatoshi & Nishizaki, Ichiro & Uemura, Yoshio, 2001. "Fuzzy programming and profit and cost allocation for a production and transportation problem," European Journal of Operational Research, Elsevier, vol. 131(1), pages 1-15, May.
    11. Klibi, Walid & Martel, Alain & Guitouni, Adel, 2010. "The design of robust value-creating supply chain networks: A critical review," European Journal of Operational Research, Elsevier, vol. 203(2), pages 283-293, June.
    12. Tsai, Jung-Fa, 2007. "An optimization approach for supply chain management models with quantity discount policy," European Journal of Operational Research, Elsevier, vol. 177(2), pages 982-994, March.
    13. Mirzapour Al-e-hashem, S.M.J. & Malekly, H. & Aryanezhad, M.B., 2011. "A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty," International Journal of Production Economics, Elsevier, vol. 134(1), pages 28-42, November.
    14. Kopanos, Georgios M. & Puigjaner, Luis & Georgiadis, Michael C., 2012. "Simultaneous production and logistics operations planning in semicontinuous food industries," Omega, Elsevier, vol. 40(5), pages 634-650.
    15. Mula, Josefa & Peidro, David & Díaz-Madroñero, Manuel & Vicens, Eduardo, 2010. "Mathematical programming models for supply chain production and transport planning," European Journal of Operational Research, Elsevier, vol. 204(3), pages 377-390, August.
    16. Lin, Cheng-Chang & Wang, Tsai-Hsin, 2011. "Build-to-order supply chain network design under supply and demand uncertainties," Transportation Research Part B: Methodological, Elsevier, vol. 45(8), pages 1162-1176, September.
    17. Garavelli, A. Claudio, 2003. "Flexibility configurations for the supply chain management," International Journal of Production Economics, Elsevier, vol. 85(2), pages 141-153, August.
    18. Mohamed, Zubair M., 1999. "An integrated production-distribution model for a multi-national company operating under varying exchange rates," International Journal of Production Economics, Elsevier, vol. 58(1), pages 81-92, January.
    19. Georgiadis, Michael C. & Tsiakis, Panagiotis & Longinidis, Pantelis & Sofioglou, Maria K., 2011. "Optimal design of supply chain networks under uncertain transient demand variations," Omega, Elsevier, vol. 39(3), pages 254-272, June.
    20. ManMohan S. Sodhi & Christopher S. Tang, 2012. "Strategic Approaches for Mitigating Supply Chain Risks," International Series in Operations Research & Management Science, in: Managing Supply Chain Risk, edition 127, chapter 0, pages 95-108, Springer.
    21. I. Nyoman Pujawan, 2004. "Assessing supply chain flexibility: a conceptual framework and case study," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 1(1), pages 79-97.
    22. Schütz, Peter & Tomasgard, Asgeir, 2011. "The impact of flexibility on operational supply chain planning," International Journal of Production Economics, Elsevier, vol. 134(2), pages 300-311, December.
    23. Gunasekaran, A., 1999. "Agile manufacturing: A framework for research and development," International Journal of Production Economics, Elsevier, vol. 62(1-2), pages 87-105, May.
    24. Miguel A. Lejeune & Andrzej Ruszczyński, 2007. "An Efficient Trajectory Method for Probabilistic Production-Inventory-Distribution Problems," Operations Research, INFORMS, vol. 55(2), pages 378-394, April.
    25. Gosling, J. & Purvis, L. & Naim, M.M., 2010. "Supply chain flexibility as a determinant of supplier selection," International Journal of Production Economics, Elsevier, vol. 128(1), pages 11-21, November.
    26. Peidro, David & Mula, Josefa & Jiménez, Mariano & del Mar Botella, Ma, 2010. "A fuzzy linear programming based approach for tactical supply chain planning in an uncertainty environment," European Journal of Operational Research, Elsevier, vol. 205(1), pages 65-80, August.
    27. Merschmann, Ulf & Thonemann, Ulrich W., 2011. "Supply chain flexibility, uncertainty and firm performance: An empirical analysis of German manufacturing firms," International Journal of Production Economics, Elsevier, vol. 130(1), pages 43-53, March.
    28. Gong, Zhejun, 2008. "An economic evaluation model of supply chain flexibility," European Journal of Operational Research, Elsevier, vol. 184(2), pages 745-758, January.
    29. Jayaraman, Vaidyanathan & Pirkul, Hasan, 2001. "Planning and coordination of production and distribution facilities for multiple commodities," European Journal of Operational Research, Elsevier, vol. 133(2), pages 394-408, January.
    30. Das, Kanchan, 2011. "Integrating effective flexibility measures into a strategic supply chain planning model," European Journal of Operational Research, Elsevier, vol. 211(1), pages 170-183, May.
    31. Meijboom, Bert & Obel, Børge, 2007. "Tactical coordination in a multi-location and multi-stage operations structure: A model and a pharmaceutical company case," Omega, Elsevier, vol. 35(3), pages 258-273, June.
    32. ManMohan S. Sodhi & Christopher S. Tang, 2012. "Managing Supply Chain Risk," International Series in Operations Research and Management Science, Springer, edition 127, number 978-1-4614-3238-8, April.
    33. Selim, Hasan & Araz, Ceyhun & Ozkarahan, Irem, 2008. "Collaborative production-distribution planning in supply chain: A fuzzy goal programming approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(3), pages 396-419, May.
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