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Erschienen in: The International Journal of Advanced Manufacturing Technology 3-4/2020

04.12.2019 | ORIGINAL ARTICLE

Proposal of new eco-manufacturing feature interaction-based methodology in CAD phase

verfasst von: Hadhami Ben Slama, Raoudha Gaha, Abdelmajid Benamara

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 3-4/2020

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Abstract

Following the environmental crises of recent decades, a turning point in the awareness of the fragility of ecosystems has been marked, i.e., environmental awareness. This has contributed to the development of various environmental laws and regulations such as the “Waste Electrical and Electronic Equipment,” the “Restriction of Hazardous Substances,” and the “Registration, Evaluation, Authorization and Restriction of Chemicals” regulations and the “Energy Using Products” Directives. Our work contributes to the development of eco-friendly product manufacturing processes. In order to estimate and optimize the environmental impacts of a product, most of the methodologies, concepts, and tools that integrate computer-aided design (CAD) and life cycle assessment systems generally exploit the feature technology at the level of each feature independently of the others, i.e., “microplanning.” The feature interaction technology (FIT) is treated only in few studies, but it is pivotal in the eco-manufacturing process. In this paper, we propose a new manufacturing-scenarios-based methodology by using FIT and a Multi-criteria Decision Support Method (MCDSM), which helps manufacturers maintain their marketplaces by producing goods in an eco-friendly way. In fact, this methodology helps designers choose from the CAD design phase the most ecological manufacturing process from possible existent scenarios in real time.

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Metadaten
Titel
Proposal of new eco-manufacturing feature interaction-based methodology in CAD phase
verfasst von
Hadhami Ben Slama
Raoudha Gaha
Abdelmajid Benamara
Publikationsdatum
04.12.2019
Verlag
Springer London
Erschienen in
The International Journal of Advanced Manufacturing Technology / Ausgabe 3-4/2020
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-019-04483-7

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