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Speculation – postponement strategies in supply chain network design problems: a modelling framework for new supply chain strategies through stochastic optimization

Thu, 10/24/2024 - 12:05 — admin
Publication TypeThesis
Year of Publication2024
AuthorsDaniel Ramón Lumbierres
Academic DepartmentDept. Statistics and Operations Research
Number of Pages124
UniversityUniversitat Politècnica de Catalunya
CityBarcelona
DegreePhD Thesis
Key Wordssupply chain; postponement; stochastic programming; research
AbstractSpeculation i Postponement son estratègies oposades de cadena de subministrament dirigides a avançar o postposar els processos de producción que transformen matèries primeres en productes acabats. Un Punt de Desacoblament d’Ordres de Consumidor, o CODP, és un punt logístic de la cadena on la producció especulativa és emmagatzemada fins a l’arribada d’ordres de demanda, de manera que el posicionament de CODPs caracteritza l’estratègia associada a la cadena de subministrament. Es presenten dos models d’optimització per decidir el Disseny en Xarxa de Cadena de Subministrament òptim i la seva estrategia Speculation – Postponement associada mitjançant un enfoc d’optimització estocástica en dues etapes: el primer model, anomenat (
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New paper published in International Journal of Production Research.

Tue, 07/21/2020 - 16:46 — admin
The paper entitled Optimal Postponement in Supply Chain Network Design Under Uncertainty: An Application for Additive Manufacturing (preprint ) has been published in the International Journal of Production Research. This paper is the result of projects Strategical Models in Supply Chain Design, and Digitalizing Supply Chain Strategy with 3D Printing a successful collaboration between GNOM with Accenture Technology Labs (Silicon Valley), Accenture Analytics Innovation Center (Barcelona) and the Fundació CIM-UPC. This study 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. Finally, it presents and analyses a case study for introducing additive manufacturing technologies.

Optimal Postponement in Supply Chain Network Design Under Uncertainty: An Application for Additive Manufacturing

Tue, 07/21/2020 - 15:49 — admin
Publication TypeJournal Article
Year of Publication2021
AuthorsDaniel Ramón-Lumbierres; F.-Javier Heredia; Joaquim Minguella-Canela; Asier Muguruza-Blanco
Journal TitleInternational Journal of Production Research
Pages5198-5215
Journal Date07/2020
PublisherTaylor&Francis
ISSN Number0020-7543
Key Wordsmanufacturing; postponement; stochastic programming; supply chain network design; 3D printing; additive manufacturing; research; paper
AbstractThis 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.
URLClick Here
DOI10.1080/00207543.2020.1775908
Preprinthttp://hdl.handle.net/2117/327874
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