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Innovative supply chain optimization models with multiple uncertainty factors

Author

Listed:
  • Tsan-Ming Choi

    (The Hong Kong Polytechnic University)

  • Kannan Govindan

    (University of Southern Denmark)

  • Xiang Li

    (Nankai University)

  • Yongjian Li

    (Nankai University)

Abstract

Uncertainty is an inherent factor that affects all dimensions of supply chain activities. In today’s business environment, initiatives to deal with one specific type of uncertainty might not be effective since other types of uncertainty factors and disruptions may be present. These factors relate to supply chain competition and coordination. Thus, to achieve a more efficient and effective supply chain requires the deployment of innovative optimization models and novel methods. This preface provides a concise review of critical research issues regarding innovative supply chain optimization models with multiple uncertainty factors. It also introduces the special issue’s research papers and their respective insights.

Suggested Citation

  • Tsan-Ming Choi & Kannan Govindan & Xiang Li & Yongjian Li, 2017. "Innovative supply chain optimization models with multiple uncertainty factors," Annals of Operations Research, Springer, vol. 257(1), pages 1-14, October.
    • Handle: RePEc:spr:annopr:v:257:y:2017:i:1:d:10.1007_s10479-017-2582-4
    DOI: 10.1007/s10479-017-2582-4
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    References listed on IDEAS

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    1. Govindan, Kannan & Chaudhuri, Atanu, 2016. "Interrelationships of risks faced by third party logistics service providers: A DEMATEL based approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 177-195.
    2. Güler, M. Güray & Bilgiç, Taner, 2009. "On coordinating an assembly system under random yield and random demand," European Journal of Operational Research, Elsevier, vol. 196(1), pages 342-350, July.
    3. Tang, Christopher S. & Davarzani, Hoda & Sarkis, Joseph, 2015. "Quantitative models for managing supply chain risks: A reviewAuthor-Name: Fahimnia, Behnam," European Journal of Operational Research, Elsevier, vol. 247(1), pages 1-15.
    4. Li, Xiang & Li, Yongjian & Cai, Xiaoqiang, 2013. "Double marginalization and coordination in the supply chain with uncertain supply," European Journal of Operational Research, Elsevier, vol. 226(2), pages 228-236.
    5. Marika Arena & Michela Arnaboldi & Giovanni Azzone, 2011. "Is enterprise risk management real?," Journal of Risk Research, Taylor & Francis Journals, vol. 14(7), pages 779-797, August.
    6. Chun-Hung Chiu & Tsan-Ming Choi, 2016. "Supply chain risk analysis with mean-variance models: a technical review," Annals of Operations Research, Springer, vol. 240(2), pages 489-507, May.
    7. Govindan, Kannan & Fattahi, Mohammad, 2017. "Investigating risk and robustness measures for supply chain network design under demand uncertainty: A case study of glass supply chain," International Journal of Production Economics, Elsevier, vol. 183(PC), pages 680-699.
    8. Volodymyr Babich & Apostolos N. Burnetas & Peter H. Ritchken, 2007. "Competition and Diversification Effects in Supply Chains with Supplier Default Risk," Manufacturing & Service Operations Management, INFORMS, vol. 9(2), pages 123-146, October.
    9. Kannan Govindan & Martin Brandt Jepsen, 2016. "Supplier risk assessment based on trapezoidal intuitionistic fuzzy numbers and ELECTRE TRI-C: a case illustration involving service suppliers," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(2), pages 339-376, February.
    10. Arena, Marika & Arnaboldi, Michela & Azzone, Giovanni, 2010. "The organizational dynamics of Enterprise Risk Management," Accounting, Organizations and Society, Elsevier, vol. 35(7), pages 659-675, October.
    11. Xingzheng Ai & Jing Chen & Jianhua Ma, 2012. "Contracting with demand uncertainty under supply chain competition," Annals of Operations Research, Springer, vol. 201(1), pages 17-38, December.
    12. Sammi Y. Tang & Haresh Gurnani & Diwakar Gupta, 2014. "Managing Disruptions in Decentralized Supply Chains with Endogenous Supply Process Reliability," Production and Operations Management, Production and Operations Management Society, vol. 23(7), pages 1198-1211, July.
    13. Heckmann, Iris & Comes, Tina & Nickel, Stefan, 2015. "A critical review on supply chain risk – Definition, measure and modeling," Omega, Elsevier, vol. 52(C), pages 119-132.
    14. Morteza Lalmazloumian & Kuan Yew Wong & Kannan Govindan & Devika Kannan, 2016. "A robust optimization model for agile and build-to-order supply chain planning under uncertainties," Annals of Operations Research, Springer, vol. 240(2), pages 435-470, May.
    15. Sammi Yu Tang & Panos Kouvelis, 2011. "Supplier Diversification Strategies in the Presence of Yield Uncertainty and Buyer Competition," Manufacturing & Service Operations Management, INFORMS, vol. 13(4), pages 439-451, October.
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    10. B. C. Giri & J. K. Majhi & S. Bardhan & K. S. Chaudhuri, 2021. "Coordinating a three-level supply chain with effort and price dependent stochastic demand under random yield," Annals of Operations Research, Springer, vol. 307(1), pages 175-206, December.
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