A decision support system for strategic supply chain capacity planning under uncertainty: conceptual framework and experiment
| Autor: | Frederick Benaben, Matthieu Lauras, Benoit Montreuil, Raphaël Oger |
|---|---|
| Přispěvatelé: | Centre Génie Industriel (CGI), IMT École nationale supérieure des Mines d'Albi-Carmaux (IMT Mines Albi), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Georgia Institute of Technology [Atlanta] |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Decision support system
Information Systems and Management Process management Supply chain 05 social sciences Context (language use) 02 engineering and technology Computer Science Applications Strategic decision-making [SPI]Engineering Sciences [physics] Capacity planning Conceptual framework 0502 economics and business Strategic decision making 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Business opportunity uncertainty capacity planning decision support systems 050203 business & management supply chain Pace |
| Zdroj: | Enterprise Information Systems Enterprise Information Systems, Taylor & Francis, In press, ⟨10.1080/17517575.2020.1793390⟩ |
| ISSN: | 1751-7575 1751-7583 |
| Popis: | International audience; Supply chains now cope with a lot of uncertainties, and their stakeholders are intensely interconnected, revealing new opportunities at a tremendous pace. In this context, companies must rethink their decision support systems to remain competitive. Particularly strategic supply chain capacity planning systems that should ensure resource availability. Unfortunately, existing systems do not satisfactorily consider this new deal. Therefore, this paper develops a conceptual framework providing guidelines for designing a decision support system for strategic supply chain capacity planning under uncertainty. To validate the conceptual framework, a decision support system has been designed accordingly, and two industrial experiments have been conducted. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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