Impact of lead time variability in supply chain risk management
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 pre...
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| Format: | article |
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2016
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| Online Access: | http://hdl.handle.net/10725/6466 https://doi.org/10.1016/j.ijpe.2016.07.014 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://www.sciencedirect.com/science/article/pii/S0925527316301608 |
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| _version_ | 1864513466171129856 |
|---|---|
| author | Bandaly, Dia |
| author2 | Satir, Ahmet Shanker, Latha |
| author2_role | author author |
| author_facet | Bandaly, Dia Satir, Ahmet Shanker, Latha |
| author_role | author |
| dc.creator.none.fl_str_mv | Bandaly, Dia Satir, Ahmet Shanker, Latha |
| dc.date.none.fl_str_mv | 2016 2017-11-01T12:10:16Z 2017-11-01T12:10:16Z 2017-11-01 |
| dc.identifier.none.fl_str_mv | 0925-5273 http://hdl.handle.net/10725/6466 https://doi.org/10.1016/j.ijpe.2016.07.014 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. http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://www.sciencedirect.com/science/article/pii/S0925527316301608 |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | International Journal of Production Economics |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.title.none.fl_str_mv | Impact of lead time variability in supply chain risk management |
| dc.type.none.fl_str_mv | Article info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | 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. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | LAURepo_9f934be38812428577faad577d5016ff |
| identifier_str_mv | 0925-5273 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. |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/6466 |
| publishDate | 2016 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Impact of lead time variability in supply chain risk managementBandaly, DiaSatir, AhmetShanker, LathaIn 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.PublishedN/A2017-11-01T12:10:16Z2017-11-01T12:10:16Z20162017-11-01Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article0925-5273http://hdl.handle.net/10725/6466https://doi.org/10.1016/j.ijpe.2016.07.014Bandaly, D., Satir, A., & Shanker, L. (2016). Impact of lead time variability in supply chain risk management. International Journal of Production Economics, 180, 88-100.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttp://www.sciencedirect.com/science/article/pii/S0925527316301608enInternational Journal of Production Economicsinfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/64662021-03-19T09:10:12Z |
| spellingShingle | Impact of lead time variability in supply chain risk management Bandaly, Dia |
| status_str | publishedVersion |
| title | Impact of lead time variability in supply chain risk management |
| title_full | Impact of lead time variability in supply chain risk management |
| title_fullStr | Impact of lead time variability in supply chain risk management |
| title_full_unstemmed | Impact of lead time variability in supply chain risk management |
| title_short | Impact of lead time variability in supply chain risk management |
| title_sort | Impact of lead time variability in supply chain risk management |
| url | http://hdl.handle.net/10725/6466 https://doi.org/10.1016/j.ijpe.2016.07.014 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://www.sciencedirect.com/science/article/pii/S0925527316301608 |