A mathematical modeling approach for supply chain management under disruption and operational uncertainty

Simple item page
Author(s)Badejo, Oluwadare
Author(s)Ierapetritou, Marianthi
Date Accessioned2023-03-28T20:28:17Z
Date Available2023-03-28T20:28:17Z
Publication Date2023-03-21
DescriptionThis is the peer reviewed version of the following article: Badejo, O, Ierapetritou, M. A mathematical modeling approach for supply chain management under disruption and operational uncertainty. AIChE J. 2023; 69( 4):e18037. doi:10.1002/aic.18037, which has been published in final form at https://doi.org/10.1002/aic.18037. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited. This article will be embargoed until 3/21/2024.
AbstractIn this work, we proposed a two-stage stochastic programming model for a four-echelon supply chain problem considering possible disruptions at the nodes (supplier and facilities) as well as the connecting transportation modes and operational uncertainties in form of uncertain demands. The first stage decisions are supplier choice, capacity levels for manufacturing sites and warehouses, inventory levels, transportation modes selection, and shipment decisions for the certain periods, and the second stage anticipates the cost of meeting future demands subject to the first stage decision. Comparing the solution obtained for the two-stage stochastic model with a multi-period deterministic model shows that the stochastic model makes a better first stage decision to hedge against the future demand. This study demonstrates the managerial viability of the proposed model in decision making for supply chain network in which both disruption and operational uncertainties are accounted for.
SponsorThe authors gratefully acknowledge financial support from NSF award with award number 2134471, the NSF Grant No. OIA-2119754 and the NSF award with number 2217472. The authors also thank the reviewers for their prompt and thoughtful comments.
CitationBadejo, O, Ierapetritou, M. A mathematical modeling approach for supply chain management under disruption and operational uncertainty. AIChE J. 2023; 69( 4):e18037. doi:10.1002/aic.18037
ISSN1547-5905
URLhttps://udspace.udel.edu/handle/19716/32589
Languageen_US
PublisherAIChE Journal
Keywordsmathematical modeling
Keywordsoptimization
Keywordssupply chain
Keywordsuncertainty
TitleA mathematical modeling approach for supply chain management under disruption and operational uncertainty
TypeArticle
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
A Mathematical Modeling approach for Supply Chain Management under Disruption and.pdf
Size:
1.52 MB
Format:
Adobe Portable Document Format
Description:
Main article
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.22 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Open Access Publications