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Xinguo Ming
Researcher at Shanghai Jiao Tong University
Publications - 169
Citations - 3760
Xinguo Ming is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Computer science & Product-service system. The author has an hindex of 27, co-authored 142 publications receiving 2523 citations. Previous affiliations of Xinguo Ming include University of Hong Kong.
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A rough TOPSIS Approach for Failure Mode and Effects Analysis in Uncertain Environments
TL;DR: A novel FMEA approach for obtaining a more rational rank of failure modes is proposed, which integrates the strength of rough set theory in handling vagueness and the merit of TOPSIS in modeling multi-criteria decision making.
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Smart manufacturing systems: state of the art and future trends
TL;DR: An autonomous SMSs model driven by dynamic demand and key performance indicators is proposed and the reference can be provided for the transformation of more manufacturing enterprises from the traditional to the intellectualized ones.
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Sustainable supplier selection for smart supply chain considering internal and external uncertainty: An integrated rough-fuzzy approach
TL;DR: The proposed method combines the strength of the fuzzy set in handling internal uncertainty and the advantages of the rough set in manipulating external uncertainty in a hybrid rough-fuzzy DEMATEL-TOPSIS approach to sustainable supplier selection for a smart supply chain.
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Identifying critical risk factors of sustainable supply chain management: A rough strength-relation analysis method
TL;DR: In this paper, a rough weighted decision-making and trial evaluation laboratory (DEMATEL) is proposed to solve the problem of sustainable supply chain management (SSCM), where both internal strength and external influence of risk factors are simultaneously considered.
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Collaborative process planning and manufacturing in product lifecycle management
TL;DR: Technology to support collaborative product manufacturing is proposed, developed and implemented in this study and it is hoped that the developed technology will lay a frontier basis for further research and development in product lifecycle management.