Amélioration des performances des systèmes de fabrication circulaire dans le paradigme de l’industrie 4.0 en contexte de chaîne d’approvisionnement en boucle fermée

Abstract

The saving of non-renewable energies as well as the reduction of emissions into the environment are two crucial objectives of industrial production. The valuation of postconsumer products associated with the digitalization of the industry seems to be part of a context in which we are optimizing these objectives. This recovery maximizes the use of resources from end-of-life products in a circular logic while recording the environmental footprint. This is called circular manufacturing (CM). This study envisions a CM adapted to the need and the urgency of reducing greenhouse gas emissions caused by global warming. The presented model aims to optimize the profits of t such circular manufacturing strategies manufacturing while minimizing operational costs (collection, sorting, recycling), transport, GHG emissions and remanufacturing. The objective is to find a compromise between the gains of CM and the costs associated with it. The robustness of the designed model is tested using three different case studies based on real-world scenarios (case of cardboard paper recovery, case of the integration of relay antennas in smart cities and case of recovery in the context of the Covid-19 pandemic). Hence, a sensitivity analysis is carried out to study the impact of the emission cost (or green cost) on the overall objective, considering the two options currently offered to industries (carbon taxes or the purchase of allowances). The obtained results support companies to take the ecological aspect into account and integrating sustainable development into their strategic axes for their logistics supply chains. A second sensitivity analysis examines the impact of increased energy consumption on the overall goal. Reducing energy consumption appears to be a good strategy to limit both the environmental impact (waste of non-renewable resources) and the economic impact (reduction in total costs). The results of this analysis support decision-makers to consider the sustainable aspect in their choice of technological monitoring and production tools. Finally, a general conclusion is presented to close the study and open doors to research perspectives in the future.

Date	18 Jan 2022
Original language	French
Awarding Institution	École de technologie supérieure
Supervisor	Lucas Hof (Supervisor) & Jean-Pierre Kenné (Co-supervisor)