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Emerging production optimization issues in supply chain systems

Author

Listed:
  • Tsan-Ming Choi

    (The Hong Kong Polytechnic University)

  • Mingzheng Wang

    (Dalian University of Technology)

  • Xiaohang Yue

    (University of Wisconsin-Milwaukee)

Abstract

Today’s business environment is very different from that of the past. New and innovative measures need to be found in order to optimize production and operations management in supply chain systems. Several emerging issues, such as risk and uncertainty management, environmental sustainability, optimal strategies under competition, sophisticated incentive alignment schemes, and optimal operations with strategic consumer behaviors, are critical to the success of modern supply chain management. This introduction provides a concise review of these critical research issues and introduces the related papers featured in this special volume.

Suggested Citation

  • Tsan-Ming Choi & Mingzheng Wang & Xiaohang Yue, 2016. "Emerging production optimization issues in supply chain systems," Annals of Operations Research, Springer, vol. 240(2), pages 381-393, May.
    • Handle: RePEc:spr:annopr:v:240:y:2016:i:2:d:10.1007_s10479-015-1948-8
    DOI: 10.1007/s10479-015-1948-8
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    References listed on IDEAS

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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. Xiao, Tiaojun & Choi, Tsan-Ming, 2009. "Purchasing choices and channel structure strategies for a two-echelon system with risk-averse players," International Journal of Production Economics, Elsevier, vol. 120(1), pages 54-65, July.
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    4. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
    5. Marcus Brandenburg & Tobias Rebs, 2015. "Sustainable supply chain management: a modeling perspective," Annals of Operations Research, Springer, vol. 229(1), pages 213-252, June.
    6. Frank Youhua Chen & Candace Arai Yano, 2010. "Improving Supply Chain Performance and Managing Risk Under Weather-Related Demand Uncertainty," Management Science, INFORMS, vol. 56(8), pages 1380-1397, August.
    7. Yang, Daojian & Qi, Ershi & Li, Yajiao, 2015. "Quick response and supply chain structure with strategic consumers," Omega, Elsevier, vol. 52(C), pages 1-14.
    8. 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.
    9. Tsan-Ming Choi & Chun-Hung Chiu, 2012. "Risk Analysis in Stochastic Supply Chains," International Series in Operations Research and Management Science, Springer, edition 127, number 978-1-4614-3869-4, April.
    10. Xuanming Su & Fuqiang Zhang, 2008. "Strategic Customer Behavior, Commitment, and Supply Chain Performance," Management Science, INFORMS, vol. 54(10), pages 1759-1773, October.
    11. John Buzacott & Houmin Yan & Hanqin Zhang, 2011. "Risk analysis of commitment–option contracts with forecast updates," IISE Transactions, Taylor & Francis Journals, vol. 43(6), pages 415-431.
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    Cited by:

    1. Xiaojun Wang & Xu Chen & Christopher Durugbo & Ziming Cai, 2020. "Manage risk of sustainable product–service systems: a case-based operations research approach," Annals of Operations Research, Springer, vol. 291(1), pages 897-920, August.
    2. Nishat Alam Choudhary & Shalabh Singh & Tobias Schoenherr & M. Ramkumar, 2023. "Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications," Annals of Operations Research, Springer, vol. 322(2), pages 565-607, March.

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