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Coordination mechanisms with mathematical programming models for decentralized decision-making: a literature review

Author

Listed:
  • G. Rius-Sorolla

    (Universitat Politècnica de València)

  • J. Maheut

    (Universitat Politècnica de València)

  • S. Estellés-Miguel

    (Universitat Politècnica de València)

  • J. P. Garcia-Sabater

    (Universitat Politècnica de València)

Abstract

The increase in the complexity of supply chains requires greater efforts to align the activities of all its members in order to improve the creation of value of their products or services offered to customers. In general, the information is asymmetric; each member has its own objective and limitations that may be in conflict with other members. Operations managements face the challenge of coordinating activities in such a way that the supply chain as a whole remains competitive, while each member improves by cooperating. This document aims to offer a systematic review of the collaborative planning in the last decade on the mechanisms of coordination in mathematical programming models that allow us to position existing concepts and identify areas where more research is needed.

Suggested Citation

  • G. Rius-Sorolla & J. Maheut & S. Estellés-Miguel & J. P. Garcia-Sabater, 2020. "Coordination mechanisms with mathematical programming models for decentralized decision-making: a literature review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(1), pages 61-104, March.
    • Handle: RePEc:spr:cejnor:v:28:y:2020:i:1:d:10.1007_s10100-018-0594-z
    DOI: 10.1007/s10100-018-0594-z
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    Cited by:

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    2. Wakui, Tetsuya & Hashiguchi, Moe & Yokoyama, Ryohei, 2021. "Structural design of distributed energy networks by a hierarchical combination of variable- and constraint-based decomposition methods," Energy, Elsevier, vol. 224(C).
    3. Marjia Haque & Sanjoy Kumar Paul & Ruhul Sarker & Daryl Essam, 2022. "A combined approach for modeling multi-echelon multi-period decentralized supply chain," Annals of Operations Research, Springer, vol. 315(2), pages 1665-1702, August.
    4. Karaca, Utku & Birbil, Ş. İlker & Aydın, Nurşen & Mullaoğlu, Gizem, 2023. "Masking primal and dual models for data privacy in network revenue management," European Journal of Operational Research, Elsevier, vol. 308(2), pages 818-831.
    5. Margaretha Gansterer & Richard F. Hartl, 2021. "The Prisoners’ Dilemma in collaborative carriers’ request selection," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(1), pages 73-87, March.
    6. Stephan Leitner, 2021. "On the Role of Incentives in Evolutionary Approaches to Organizational Design," Papers 2105.04514, arXiv.org, revised May 2021.
    7. Jose Pedro Garcia-Sabater & Julien Maheut & Angel Ruiz & Julio Juan Garcia-Sabater, 2020. "A Framework for Capacity and Operations Planning in Services Organizations Employing Workers with Intellectual Disabilities," Sustainability, MDPI, vol. 12(22), pages 1-17, November.

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