Decision‐making of product‐service system solution selection based on integrated weight and technique for order preference by similarity to an ideal solution

Product‐service system (PSS) solution selection is of great significance to better meet the personalised needs of customers and ensure the subsequent implementation. The problems of incomplete index system, difficulty to obtain the value of the qualitative index and unreasonable single index weighti...

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Vydáno v:IET collaborative intelligent manufacturing Ročník 2; číslo 3; s. 102 - 108
Hlavní autoři: Li, Lianhui, Mao, Chunlei, Lei, Bingbing, Gao, Yang, Liu, Yang, Huang, George Q.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Wuhan The Institution of Engineering and Technology 01.09.2020
John Wiley & Sons, Inc
Témata:
automobile industry
automobile PSS solution selection
comprehensive index system
constructed decision-making framework
Customer services
Decision making
Design
fuzzy number
fuzzy set theory
Fuzzy systems
incomplete index system
index value
integrated weight
Manufacturing
multiexpert evaluation opinion combination
multiweight information consistency model
number theory
product-service system solution selection
qualitative index
Random variables
Semantics
Similarity
subjective weights
technique for order preference by similarity to an ideal solution
TOPSIS
unreasonable single index weighting
ISSN:2516-8398, 2516-8398
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Shrnutí:Product‐service system (PSS) solution selection is of great significance to better meet the personalised needs of customers and ensure the subsequent implementation. The problems of incomplete index system, difficulty to obtain the value of the qualitative index and unreasonable single index weighting have a significant impact on the decision‐making of PSS solution selection. In response to these problems, a decision‐making framework of PSS solution selection is constructed. A comprehensive index system is established from the perspectives of multiple stakeholders. Expert evaluating with the fuzzy number and multi‐expert evaluation opinion combination is adopted for index value solving. Integration of objective and subjective weights is achieved based on the multi‐weight information consistency model and the candidate PSS solutions are ranked by technique for order preference by similarity to an ideal solution finally. An application case of automobile PSS solution selection is given to verify the effectiveness and rationality of the constructed decision‐making framework.
Bibliografie:ObjectType-Article-1
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ISSN:2516-8398
2516-8398
DOI:10.1049/iet-cim.2020.0003