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Dynamic quotation of leadtime and price for a Make-To-Order system with multiple customer classes and perfect information on customer preferences

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  • Feng, Jiejian
  • Zhang, Michael

Abstract

We study the optimal dynamic quotation of leadtime and price for a Make-To-Order manufacturer to improve its expected profit. The manufacturer knows the probability distribution of customers’ sensitivity on quoted leadtime and price according to history data. They can also obtain information on individual sensitivity of each customer through negotiations with customers. Our analysis shows that the information of individual sensitivity leads to additional expected profit. Moreover, our numerical experiments demonstrate that the additional expected profit can be significant.

Suggested Citation

  • Feng, Jiejian & Zhang, Michael, 2017. "Dynamic quotation of leadtime and price for a Make-To-Order system with multiple customer classes and perfect information on customer preferences," European Journal of Operational Research, Elsevier, vol. 258(1), pages 334-342.
    • Handle: RePEc:eee:ejores:v:258:y:2017:i:1:p:334-342
    DOI: 10.1016/j.ejor.2016.08.050
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    Cited by:

    1. Hammami, Ramzi & Frein, Yannick & Nouira, Imen & Albana, Abduh-Sayid, 2022. "On the interplay between local lead times, overall lead time, prices, and profits in decentralized supply chains," International Journal of Production Economics, Elsevier, vol. 243(C).
    2. Myron Benioudakis & Apostolos Burnetas & George Ioannou, 2022. "Single versus dynamic lead-time quotations in make-to-order systems with delay-averse customers," Annals of Operations Research, Springer, vol. 318(1), pages 33-65, November.
    3. Balcıõglu, Barış & Varol, Yãgız, 2022. "Fair and profitable: How pricing and lead-time quotation policies can help," European Journal of Operational Research, Elsevier, vol. 299(3), pages 977-986.
    4. Benioudakis, Myron & Zissis, Dimitris & Burnetas, Apostolos & Ioannou, George, 2023. "Service provision on an aggregator platform with time-sensitive customers: Pricing strategies and coordination," International Journal of Production Economics, Elsevier, vol. 257(C).
    5. Zhai, Yue & Cheng, T.C.E., 2022. "Lead-time quotation and hedging coordination in make-to-order supply chain," European Journal of Operational Research, Elsevier, vol. 300(2), pages 449-460.
    6. Benioudakis, Myron & Burnetas, Apostolos & Ioannou, George, 2021. "Lead-time quotations in unobservable make-to-order systems with strategic customers: Risk aversion, load control and profit maximization," European Journal of Operational Research, Elsevier, vol. 289(1), pages 165-176.
    7. Liu, Jian & Chen, Jian & Bo, Rui & Meng, Fanlin & Xu, Yong & Li, Peng, 2023. "Increases or discounts: Price strategies based on customers’ patience times," European Journal of Operational Research, Elsevier, vol. 305(2), pages 722-737.

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