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 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.

Funding agencies: Natural Science Foundation of China (Nos.: 51875251 and 51765001), the Third Batch of Ningxia Youth Talents Supporting Program (No.: TJGC2018048), the Key Scientific Research Projects of North Minzu University (No.:2017KJ22), the Natural Science Foundation of Ningxia Province (Nos.: NZ17111 and 2020AAC03202), the Ningxia First-class Discipline and Scientific Research Project: Electronic Science and Technology (No.: NXYLXK2017A07), the National Key R&D Plan Project (Nos.: 2017YFC0405700 and 2017YFC0405705), the Youth project with a special fund for Basic Scientific Research Business Expenses of Central Level Public Welfare Scientific Research Institutes (Y919008) and the University-enterprise Joint Funding Project of North Minzu University (No.: 2018HLZ07)