Impact of lead time variability in supply chain risk management

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dc.contributor.author Bandaly, Dia
dc.contributor.author Satir, Ahmet
dc.contributor.author Shanker, Latha
dc.date.accessioned 2017-11-01T12:10:16Z
dc.date.available 2017-11-01T12:10:16Z
dc.date.copyright 2016 en_US
dc.date.issued 2017-11-01
dc.identifier.issn 0925-5273 en_US
dc.identifier.uri http://hdl.handle.net/10725/6466 en_US
dc.description.abstract In this article, we study the impact of lead time variability on the performance of supply chain risk management in the beer industry. The stakeholders considered are the empty aluminum can supplier, the brewery and the distributor. The stochastic lead time model developed is an extension of the previously developed base model (with deterministic lead time) under which commodity price risk and demand uncertainty are managed via an integrated risk management approach using operational methods and financial derivatives. Simulation-based optimization is used to model and analyze such a complex system. We find that lead time variability does not always deteriorate the supply chain performance. Only high levels of lead time variability are found to justify more the need for a coordinated supply chain. The findings also reveal the need for using different hedging strategies to manage products flows across the supply chain under stochastic lead time versus the deterministic case. Managerial insights for the supply chain studied are argued based on experimental design findings. en_US
dc.language.iso en en_US
dc.title Impact of lead time variability in supply chain risk management en_US
dc.type Article en_US
dc.description.version Published en_US
dc.author.school SOB en_US
dc.author.idnumber 201306324 en_US
dc.author.department Department of Information Technology and Operations Management (ITOM) en_US
dc.description.embargo N/A en_US
dc.relation.journal International Journal of Production Economics en_US
dc.journal.volume 180 en_US
dc.article.pages 88-100 en_US
dc.keywords Beer supply chain en_US
dc.keywords Risk management en_US
dc.keywords Stochastic lead time en_US
dc.keywords Simulation-based optimization en_US
dc.keywords Opportunity cost en_US
dc.identifier.doi https://doi.org/10.1016/j.ijpe.2016.07.014 en_US
dc.identifier.ctation Bandaly, D., Satir, A., & Shanker, L. (2016). Impact of lead time variability in supply chain risk management. International Journal of Production Economics, 180, 88-100. en_US
dc.author.email dia.bandaly@lau.edu.lb en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url http://www.sciencedirect.com/science/article/pii/S0925527316301608 en_US
dc.author.affiliation Lebanese American University en_US

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