Dynamic quotation of leadtime and price for a Make-To-Order system with multiple customer classes and perfect information on customer preferences
Jiejian Feng and
Michael Zhang
European Journal of Operational Research, 2017, vol. 258, issue 1, 334-342
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.
Keywords: Dynamic quotation; Leadtime; Make-To-Order; Price (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221716306890
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:258:y:2017:i:1:p:334-342
DOI: 10.1016/j.ejor.2016.08.050
Access Statistics for this article
European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati
More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().