A stochastic model for analyzing the combined effect of demand uncertainty and carbon tax within the context of Green Supply Chain Design
| Autor: | Chelly, Amina, Hadj-Alouane, Atidel, Noiura, Imen, Frein, Yannick |
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| Přispěvatelé: | Gestion et Conduite des Systèmes de Production (G-SCOP_GCSP ), Laboratoire des sciences pour la conception, l'optimisation et la production (G-SCOP), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Ecole Nationale d'Ingénieurs de Tunis (ENIT), Université de Tunis El Manar (UTM), Albana, Abduh-Sayid |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: | |
| Zdroj: | 7th International Conference on Industrial Engineering and Systems Management (IESM) proceedings 7th International Conference on Industrial Engineering and Systems Management (IESM) 7th International Conference on Industrial Engineering and Systems Management (IESM), Oct 2017, Saarbrücken, Germany |
| Popis: | International audience; Carbon emission legislations are implemented for the purpose of pushing companies to pay more attention to their carbon emissions beyond Supply Chain (SC) activities and encouraging them to invest in cleaner technologies. Within this context, the present work studies the combined effect of carbon legislation and demand uncertainty on one of the strategic decisions related to green supply chain design (GSCD): the selection of production technologies. We consider a stochastic demand and we develop a stochastic newsvendor-based mathematical model for the problem of production planning and technology selection under carbon tax regulation. The majority of works that have studied this problem have developed deterministic models and studied the trade-off between emission reduction and cost increase under carbon legislations. Through a numerical example, we compare the economic and environmental performances of both deterministic and stochastic models. With this example, we show how the carbon legislations tend to push companies to invest in cleaner production technologies when demand uncertainty is considered. The obtained results also illustrate the robustness of the stochastic model to demand uncertainty over the deterministic model. |
| Databáze: | OpenAIRE |
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