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Study on life-cycle design for the post mass production paradigm

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Year: 2000
Type: article
Source: Artificial intelligence for engineering design analysis and manufacturing
DOI: 10.1017/s0890060400142040
Authors: YASUSHI UMEDA, AKIRA NONOMURA, TETSUO TOMIYAMA
Institutions: Tokyo Metropolitan University, Denso (Japan), Research into Artifacts, Center for Engineering, The University of Tokyo, The University of Tokyo
Language: English

Topic: Sustainable Supply Chain Management
Subfield: Strategy and Management
Field: Business, Management and Accounting
Domain: Social Sciences
SDGs: Responsible consumption and production, Industry, innovation and infrastructure

Open Access status: closed
OpenAlex ID: W2055439800
FWCI: 12.26
Cites: 11
Cited by: 190
Related to: 10
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