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Making Strategic Supply Chain Capacity Planning more Dynamic to cope with Hyperconnected and Uncertain Environments

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dc.contributor.author Oger, Raphaël
dc.contributor.author Benaben, Frederick
dc.contributor.author Lauras, Matthieu
dc.contributor.author Montreuil, Benoit
dc.date.accessioned 2020-12-24T19:24:46Z
dc.date.available 2020-12-24T19:24:46Z
dc.date.issued 2021-01-05
dc.identifier.isbn 978-0-9981331-4-0
dc.identifier.uri http://hdl.handle.net/10125/70865
dc.description.abstract Public and private organizations cope with a lot of uncertainties when planning the future of their supply chains. Additionally, the network of stakeholders is now intensely interconnected and dynamic, revealing new collaboration opportunities at a tremendous pace. In such a context, organizations must rethink most of their supply chain planning decision support systems. This is the case regarding strategic supply chain capacity planning systems that should ensure that supply chains will have enough resources to profitably produce and deliver products on time, whatever hazards and disruptions. Unfortunately, most of the existing systems are unable to consider satisfactorily this new deal. To solve this issue, this paper develops a decision support system designed for making strategic supply chain capacity planning more dynamic to cope with hyperconnected and uncertain environments. To validate this decision support system, two industrial experiments have been conducted with two European pharmaceuticals and cosmetics companies.
dc.format.extent 10 pages
dc.language.iso English
dc.relation.ispartof Proceedings of the 54th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Digital and Hyperconnected Supply Chain Systems
dc.subject capacity planning
dc.subject decision support systems
dc.subject opportunity-driven
dc.subject supply chain planning
dc.subject uncertainty-driven
dc.title Making Strategic Supply Chain Capacity Planning more Dynamic to cope with Hyperconnected and Uncertain Environments
dc.identifier.doi 10.24251/HICSS.2021.252
prism.startingpage 2057
Appears in Collections: Digital and Hyperconnected Supply Chain Systems


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