Strategies for Reducing Supplier Risk: Inputs into the Supply Chain

Greene, Christopher A

Publication:
Strategies for Reducing Supplier Risk: Inputs into the Supply Chain

dc.contributor.advisor	Ana Muriel
dc.contributor.author	Greene, Christopher A
dc.contributor.department	University of Massachusetts Amherst
dc.contributor.department	Industrial Engineering & Operations Research
dc.date	2024-03-28T20:48:06.000
dc.date.accessioned	2024-04-26T18:18:21Z
dc.date.available	2024-04-26T18:18:21Z
dc.date.submitted	February
dc.date.submitted	2016
dc.description.abstract	There are many aspects to consider when managing an entire supply chain from procurement to fulfillment. Complex assemblies require hundreds of components, sourced from all corners of the globe, to come together in a synchronized fashion. Given the magnitude of the supply chain, high quality standards, and significantly increased outsourcing, there is a strong need to monitor supplier risk and quickly identify and mitigate potential problems. Moreover, the continuous pressure to reduce resources and pressure to cut costs, further increases the need for the development of procedures and tools that can quickly and efficiently address these potential supply chain risks. This thesis focuses on two unique problems brought to our attention by supply chain managers in the field. The first is the analysis of the robustness of advanced ordering strategies (AOS). AOS have been proposed in previous research to coordinate the delivery of components for complex assemblies with long and highly variable lead times. They have been shown to be highly successful to synchronize the supply chain under on-going conditions. It is not clear; however, their effect as the underlying performance of suppliers evolves over time. The second topic covers the methodological foundation and development of a tool to accurately classify suppliers based off risk, and provides a method to calculate final assembly risk, in addition to guiding the deployment of scarce supplier development teams and resources.
dc.description.degree	Master of Science in Industrial Engineering and Operations Research (M.S.I.E.O.R.)
dc.identifier.doi	https://doi.org/10.7275/7904292
dc.identifier.orcid	N/A
dc.identifier.uri	https://hdl.handle.net/20.500.14394/33324
dc.relation.url	https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1333&context=masters_theses_2&unstamped=1
dc.source.status	published
dc.subject	supplier
dc.subject	risk
dc.subject	delivery
dc.subject	quality
dc.subject	predict
dc.subject	inventory reduction
dc.subject	Industrial Engineering
dc.subject	Management and Operations
dc.subject	Other Operations Research, Systems Engineering and Industrial Engineering
dc.subject	Risk Analysis
dc.title	Strategies for Reducing Supplier Risk: Inputs into the Supply Chain
dc.type	openaccess
dc.type	article
dc.type	thesis
digcom.contributor.author	isAuthorOfPublication\|email:cagreene@umass.edu\|institution:University of Massachusetts Amherst\|Greene, Christopher A
digcom.identifier	masters_theses_2/322
digcom.identifier.contextkey	7904292
digcom.identifier.submissionpath	masters_theses_2/322
dspace.entity.type	Publication