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A supply chain network economic model with time-based competition

Author

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  • Ma, Jun
  • Zhang, Ding
  • Dong, June
  • Tu, Yiliu

Abstract

This paper presents an integrated model for time-cost competition between supply chains with heterogeneous customers. The firms in our model can offer various time options for their production/service to time-sensitive customers. This gives rise of a new concept of time-based supply chain, which we call T-chain, to be the basic element in the competition and extends the inter supply chain competition to a new dimension of time. Assuming the customers are heterogeneous in time-cost bi-criteria decision making, we integrate the discrete choice theory into supply chain network competition and formulate the equilibrium conditions as a multinomial logit based variational inequality problem. Numerical examples are presented for model illustration and managerial insights such as profit maximization for a firm who participates in this supply chain network.

Suggested Citation

  • Ma, Jun & Zhang, Ding & Dong, June & Tu, Yiliu, 2020. "A supply chain network economic model with time-based competition," European Journal of Operational Research, Elsevier, vol. 280(3), pages 889-908.
    • Handle: RePEc:eee:ejores:v:280:y:2020:i:3:p:889-908
    DOI: 10.1016/j.ejor.2019.07.063
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    Citations

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    Cited by:

    1. Feng, Pingping & Zhou, Xiaoyang & Zhang, Ding & Chen, Zhaobo & Wang, Shouyang, 2022. "The impact of trade policy on global supply chain network equilibrium: A new perspective of product-market chain competition," Omega, Elsevier, vol. 109(C).
    2. Hosseini-Motlagh, Seyyed-Mahdi & Choi, Tsan-Ming & Johari, Maryam & Nouri-Harzvili, Mina, 2022. "A profit surplus distribution mechanism for supply chain coordination: An evolutionary game-theoretic analysis," European Journal of Operational Research, Elsevier, vol. 301(2), pages 561-575.
    3. Millstein, Mitchell A. & Bilir, Canser & Campbell, James F., 2022. "The effect of optimizing warehouse locations on omnichannel designs," European Journal of Operational Research, Elsevier, vol. 301(2), pages 576-590.
    4. Ali Ala & Morteza Yazdani & Mohsen Ahmadi & Aida Poorianasab & Mahdi Yousefi Nejad Attari, 2023. "An efficient healthcare chain design for resolving the patient scheduling problem: queuing theory and MILP-ASA optimization approach," Annals of Operations Research, Springer, vol. 328(1), pages 3-33, September.
    5. Qiuyun Zhu & Xiaoyang Zhou & Aijun Liu & Chong Gao & Lei Xu & Fan Zhao & Ding Zhang & Benjamin Lev, 2022. "Equilibrium Optimization with Multi-Energy-Efficiency-Grade Products: Government and Market Perspective," Energies, MDPI, vol. 15(19), pages 1-23, October.
    6. Page, Kenneth & Pérez, Juan & Telha, Claudio & García-Echalar, Andrés & López-Ospina, Héctor, 2021. "Optimal bundle composition in competition for continuous attributes," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1168-1187.

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