As manufacturing converts raw materials into products, environmental wastes and emissions are simultaneously generated from the consumption of materials and energy during the manufacturing processes. Then, sustainable manufacturing is defined as the creation of manufactured products using processes that minimize negative environmental impacts, conserve energy and natural resources and that are safe on employees, communities and consumers. Such an approach requires a compromise between ecological and economic aspects to meet the pillars of sustainable development.This paper presents the implementation of particle swarm tool in order to solve multi-objective optimization for sustainable manufacturing. Hence, this study might serve as part of a global approach to model sustainable manufacturing. The main objective of this approach is to develop operations that allow production with respect of ecological, economic and technological constraints. We developed a case study on the cutting conditions during turning at the end of our study.
This paper describes with precision the steps adopted for the development of a digital functional assistance process for tolerancing, developed in collaboration with the RENAULT automobile group. This process is based on the formalization and digital integration of U.A.C.s. (Use Aptitude Conditions). Moreover, it uses the TTRS and the pseudo-TTRS model which then provides a tolerancing model that can be digitized and craft rules used, enabling capitalization on know-how in the tolerancing field. These steps are illustrated by a real case study.
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