Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/89682
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Logistics and Maritime Studies | en_US |
dc.creator | Dong, L | en_US |
dc.creator | Geng, X | en_US |
dc.creator | Xiao, G | en_US |
dc.creator | Yang, N | en_US |
dc.date.accessioned | 2021-04-28T02:29:13Z | - |
dc.date.available | 2021-04-28T02:29:13Z | - |
dc.identifier.issn | 1523-4614 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/89682 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute for Operations Research and the Management Sciences | en_US |
dc.rights | © 2021 INFORMS | en_US |
dc.rights | This is the accepted manuscript of the following article: Lingxiu Dong, Xin Geng, Guang Xiao, Nan Yang (2021) Procurement Strategies with Unreliable Suppliers Under Correlated Random Yields. Manufacturing & Service Operations Management 24(1):179-195, which has been published in final form at https://doi.org/10.1287/msom.2020.0918. | en_US |
dc.subject | Supply diversification | en_US |
dc.subject | Correlated random yields | en_US |
dc.subject | Newsvendor model | en_US |
dc.subject | Pricing | en_US |
dc.subject | Multivariate dependence order | en_US |
dc.title | Procurement strategies with unreliable suppliers under correlated random yields | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 179 | en_US |
dc.identifier.epage | 195 | en_US |
dc.identifier.volume | 24 | en_US |
dc.identifier.issue | 1 | en_US |
dc.identifier.doi | 10.1287/msom.2020.0918 | en_US |
dcterms.abstract | Problem definition: This paper studies the sourcing of a monopoly firm that procures from multiple unreliable suppliers to meet its deterministic/price-dependent demand. The suppliers’ production processes are unreliable and are modeled by correlated proportional random yields. Academic/practical relevance: As a proactive risk-mitigation tool, supply diversification has been widely studied in the literature, with the primary focus on independent supply risks. However, supply risks in practice may be correlated in nature for various reasons. By accounting for yield correlation among suppliers’ production processes, our work aims to help firms better manage their supply base and fully exploit the benefit of risk pooling through diversification. Methodology: Stochastic optimization serves as our main tool for analysis. Results: We formulate the firm’s problem in a general n-supplier setting and prove its structural properties. For a two-supplier case, we fully characterize the firm’s optimal sourcing decision and provide a unified measurement to quantify how yield correlation and characteristics jointly affect the supply base selection. Specifically, we show that when the two suppliers are highly positively correlated the firm may sole-source from the supplier with higher effective procurement cost (the procurement cost per expected delivered unit) and also higher reliability. In addition, as the production yields become more positively correlated, supply diversification becomes less likely, and the firm’s profit decreases. Moreover, assuming multivariate normally distributed yields, we generalize those results and relevant insights to the multiplesupplier case. We uncover the critical role played by yield correlation and illustrate the insufficiency of using effective procurement cost alone to qualify a supplier. Finally, we incorporate demand uncertainty to confirm the robustness of our findings. Managerial implications: Our results urge caution in selecting the optimal supply base when the yield risks are correlated. Particularly, yield correlation, effective procurement costs, and supplier reliability should be jointly taken into account; otherwise, ignoring any one of these factors may lead to suboptimal outcomes. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Manufacturing and service operations management, Jan.-Feb. 2022, v. 24, no. 1, 179-195 | en_US |
dcterms.isPartOf | Manufacturing and service operations management | en_US |
dcterms.issued | 2022-01 | - |
dc.identifier.eissn | 1526-5498 | en_US |
dc.description.validate | 202104 bcvc | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | a0797-n02 | - |
dc.identifier.SubFormID | 1664 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingText | General Research Fund Grant PolyU 15507218 | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
1664_Dong_Procurement_Strategies_Unreliable.pdf | Pre-Published version | 1.68 MB | Adobe PDF | View/Open |
Page views
151
Last Week
1
1
Last month
Citations as of Apr 14, 2025
Downloads
293
Citations as of Apr 14, 2025
SCOPUSTM
Citations
17
Citations as of Jun 21, 2024
WEB OF SCIENCETM
Citations
22
Citations as of Oct 10, 2024

Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.