EconPapers    
Economics at your fingertips  
 

Real-time procurement policy with yield and price uncertainty

Wenqiang Dai, Zhuolin Yang, Yi Feng and Meng Zheng

International Journal of Production Research, 2020, vol. 58, issue 3, 758-782

Abstract: This study formulates and analyses a procurement model in which a procurer faces both yield and price uncertainty. We propose a simple and effective real-time procurement policy where the decisions are made only based on the current arriving price and inventory level. The only information we need is the first two moments for the random yield rate, and the lower and upper bounds for price. Thus, our policy delivers robust performance to changing yield and price over time. In addition, simple decision rules are summarised for determining the optimal procurement quantity for different cases. Analytical results and numerical experiments are presented to show that the proposed policy achieves a superior performance guarantee.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2019.1600761 (text/html)
Access to full text is restricted to subscribers.

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:taf:tprsxx:v:58:y:2020:i:3:p:758-782

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20

DOI: 10.1080/00207543.2019.1600761

Access Statistics for this article

International Journal of Production Research is currently edited by Professor A. Dolgui

More articles in International Journal of Production Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:tprsxx:v:58:y:2020:i:3:p:758-782