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Dynamic-distributed decisions and sharing protocol for fair resource sharing in collaborative network

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  • Yilmaz, Ibrahim
  • Yoon, Sang Won

Abstract

This research addresses distributed decisions for dynamic partnership reformation to enhance fairness and efficiency among collaborative networked enterprises (CNEs). The aim of this research is to investigate a new sharing protocol (SP) to control CNEs. Most CNE studies are designed under a centralized SP. However, centralized SPs appear to be unfeasible or inadequate due to enterprises’ operating environments and local objectives; therefore, each CNE requires a distributed decision-making mechanism. Furthermore, market globalization and competition necessitate rapid responses to market changes and give rise to two major concerns about CNEs: (1) how can collaborations be rendered re-configurable to dynamically capture and adapt to market patterns; and (2) how can the resources of all CNEs be utilized fairly among enterprises, ensuring mutual benefits? Therefore, Dynamic-Distributed Sharing Protocol (D2SP), which is inspired by the principles of Collaborative Control Theory and Contract Net Protocol, is proposed to address these concerns. The performance of D2SP is evaluated by comparing with (1) static-centralized SP, (2) static-distributed SP, and (3) dynamic-centralized SP. The experimental results show that D2SP performs at least equally or better than centralized and static SPs in terms of total profit, fairness, scalability, and communication overhead.

Suggested Citation

  • Yilmaz, Ibrahim & Yoon, Sang Won, 2020. "Dynamic-distributed decisions and sharing protocol for fair resource sharing in collaborative network," International Journal of Production Economics, Elsevier, vol. 226(C).
    • Handle: RePEc:eee:proeco:v:226:y:2020:i:c:s0925527320300451
    DOI: 10.1016/j.ijpe.2020.107644
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    References listed on IDEAS

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    1. Yilmaz, Ibrahim & Yoon, Sang Won & Seok, Hyesung, 2017. "A framework and algorithm for fair demand and capacity sharing in collaborative networks," International Journal of Production Economics, Elsevier, vol. 193(C), pages 137-147.
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    4. Dimitris Bertsimas & Shubham Gupta, 2016. "Fairness and Collaboration in Network Air Traffic Flow Management: An Optimization Approach," Transportation Science, INFORMS, vol. 50(1), pages 57-76, February.
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    6. Manuel Scavarda & Rodrigo Reyes Levalle & Seokcheon Lee & Shimon Y. Nof, 2017. "Collaborative e-work parallelism in supply decisions networks: the chemical dimension," Journal of Intelligent Manufacturing, Springer, vol. 28(6), pages 1337-1355, August.
    7. Schleich, Benjamin Rafael & Seok, Hyesung & Yoon, Sang Won, 2017. "Performance assessment in homogeneous/heterogeneous collaborative enterprise networks with inventory adjustment," European Journal of Operational Research, Elsevier, vol. 261(3), pages 958-970.
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    Cited by:

    1. Sánchez, Allan G.S. & Posadas–Castillo, C. & Garza–González, E., 2021. "Determining efficiency of small-world algorithms: A comparative approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 187(C), pages 687-699.

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