Modeling Disruption in a Fresh Produce Supply Chain

dc.contributor.author MacKenzie, Cameron
dc.contributor.author MacKenzie, Cameron
dc.contributor.author Apte, Aruna
dc.contributor.department Industrial and Manufacturing Systems Engineering
dc.date 2018-02-17T21:07:30.000
dc.date.accessioned 2020-06-30T04:49:09Z
dc.date.available 2020-06-30T04:49:09Z
dc.date.copyright Fri Jan 01 00:00:00 UTC 2016
dc.date.issued 2016-01-01
dc.description.abstract <p><strong>Purpose—</strong>The purpose of this paper is to quantify elements that make fresh produce supply chains vulnerable to disruptions and to quantify the benefits of different disruption management strategies.</p> <p><strong>Design/methodology/approach—</strong>This paper develops a mathematical model of a disruption in a fresh produce supply chain and analyzes the relationships among variables.</p> <p><strong>Findings</strong>—The model determines the optimal safety stock as a function of the perishability of the produce, the length of time it takes to find the contamination, the level of demand during the disruption, and the amount of produce that can be rerouted. Applying the model to the 2006 <em>E. coli</em> spinach contamination reveals that the drop in customer demand for fresh spinach plays the largest role in Dole losing sales.</p> <p><strong>Research limitations</strong>—The model includes several parameters that may be difficult to estimate. Future models can incorporate uncertainty that is inherent in supply chain disruptions.</p> <p><strong>Practical implications</strong>—The model in this paper can help a supply chain manager explore the trade-offs of different disruption management strategies. For example, a supply chain manager can determine the value of holding additional safety stock versus trying to improve traceability in the supply chain.</p> <p><strong>Originality/value</strong>—This paper quantifies and models insights delivered in the qualitative analyses of fresh produce supply chain disruptions. The theoretical contributions include an analysis of the interaction among safety stock, levels of demand, communication, and traceability parameters in order to help supply chain managers evaluate different strategies to mitigate the effects of contaminated produce.</p>
dc.description.comments <p>This is the author’s accepted manuscript as published in <em>International Journal of Logistics Management, </em>28(2), 656-679. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/imse_pubs/76/
dc.identifier.articleid 1075
dc.identifier.contextkey 8986115
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath imse_pubs/76
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/44598
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/imse_pubs/76/2016_Mackenzie_ModelingDisruption.pdf|||Sat Jan 15 01:50:57 UTC 2022
dc.subject.disciplines Industrial Engineering
dc.subject.disciplines Operations and Supply Chain Management
dc.subject.disciplines Systems Engineering
dc.title Modeling Disruption in a Fresh Produce Supply Chain
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication ecd737cd-4b41-4270-9289-39fb4be29378
relation.isOrgUnitOfPublication 51d8b1a0-5b93-4ee8-990a-a0e04d3501b1
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