DocumentCode :
290
Title :
Two Stage Procurement Processes With Competitive Suppliers and Uncertain Supplier Quality
Author :
Yue Jin ; Ryan, Jennifer K. ; Yund, Walter
Author_Institution :
Bell Labs. Ireland, Alcatel-Lucent, Dublin, Ireland
Volume :
61
Issue :
1
fYear :
2014
fDate :
Feb. 2014
Firstpage :
147
Lastpage :
158
Abstract :
This paper considers a sourcing problem faced by a manufacturer who outsources the manufacturing of a product to one of several competing suppliers, whose cost and quality capabilities are unknown. We consider a two-stage sourcing process in which the first stage is the qualification stage, while the second stage is the supplier selection stage. In the first stage, the manufacturer exerts effort to learn about the quality level of each of the suppliers and then must determine the set of qualified suppliers, subject to some tolerance for error. In the second stage, the manufacturer runs a price-only procurement auction, in which the qualified suppliers compete for the manufacturer´s business. We model this two-stage sourcing process with the goal of obtaining insights into manufacturer´s optimal decisions. We seek to determine the optimal qualification standard, the optimal amount of effort to be exerted in the qualification process and the appropriate tolerance for error in the qualification process, and to understand the interactions between these decision variables. We are particularly interested in understanding how the manufacturer can design the process to 1) ensure the firm only sources from qualified suppliers and 2) encourage competition among the suppliers during supplier selection.
Keywords :
outsourcing; pricing; procurement; competitive suppliers; decision variables; price-only procurement auction; process design; procurement process; qualification stage; qualification standard; supplier competition; supplier cost capability; supplier selection stage; two-stage sourcing process; uncertain supplier quality; Competitive analysis; decisions under risk and uncertainty; economic modeling; manufacturing supply chain; supply chain integration;
fLanguage :
English
Journal_Title :
Engineering Management, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9391
Type :
jour
DOI :
10.1109/TEM.2013.2266276
Filename :
6542743
Link To Document :
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