Optimal postponement in supply chain network design under uncertainty: an application for additive manufacturing
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hdl:2117/327874
Document typeArticle
Defense date2020-06-17
PublisherTaylor & Francis
Rights accessOpen Access
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Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
This study presents a new two-stage stochastic programming decision model for assessing how to introduce some new manufacturing technology into any generic supply and distribution chain. It additionally determines the optimal degree of postponement, as represented by the so-called customer order decoupling point (CODP), while assuming uncertainty in demand for multiple products. To this end, we propose here the formulation of a generic supply chain through an oriented graph that represents all the deployable alternative technologies, which are defined through a set of operations that are characterized by lead times and cost parameters. Based on this graph, we develop a mixed integer two-stage stochastic program that finds the optimal manufacturing technology for meeting each market’s demand, each operation’s optimal production quantity, and each selected technology’s optimal CODP. We also present and analyse a case study for introducing additive manufacturing technologies.
CitationRamon, D. [et al.]. Optimal postponement in supply chain network design under uncertainty: an application for additive manufacturing. "International journal of production research", 17 Juny 2020,
ISSN0020-7543
Publisher versionhttps://www.tandfonline.com/doi/abs/10.1080/00207543.2020.1775908
Collections
- GNOM - Grup d'Optimització Numèrica i Modelització - Articles de revista [105]
- Departament d'Enginyeria mecànica - Articles de revista [642]
- Doctorat en Enginyeria Mecànica, Fluids i Aeronàutica - Articles de revista [172]
- TECNOFAB - Grup de Recerca en Tecnologies de Fabricació - Articles de revista [220]
- Departament d'Estadística i Investigació Operativa - Articles de revista [752]
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