期刊
IEEE ACCESS
卷 10, 期 -, 页码 48994-49004出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2022.3173331
关键词
Indexes; Decision making; Standards; Maintenance engineering; Licenses; Debugging; Customer satisfaction; Product service system (PSS); scheme evaluation; customer value; analytic network process; niche theory
This study proposes a product service system scheme evaluation method based on the analytic network process and niche theory. The method evaluates different schemes based on customer value and calculates the relative importance of customer value types and stages, as well as the relative advantages of different schemes in delivering customer value. The method is verified using a CNC machine tool product service system scheme, and the results show that it is more accurate and effective.
In reservation to enhance the enforceability of the product service system scheme and avoid the waste of time and resources caused by the improper design of the scheme, it is necessary to evaluate the scheme effectively before the implementation of the product service system scheme. Therefore, this study proposes a product service system scheme evaluation method based on the analytic network process and niche theory and evaluates the product service system scheme with customer value as the evaluation index. First, an analytic network process is used to calculate the relative importance of various customer value types and stages of the customer activity cycle. Second, niche theory is used to calculate the relative advantages of different product service system schemes in delivering all types of customer value. Then, based on customer value perception, the customer's evaluation of the value delivered by different product service system schemes is obtained, and the schemes are ranked according to the amount of value delivered. Finally, the proposed method is verified by evaluating the CNC machine tool product service system scheme as an example and comparing it with other evaluation methods. The results demonstrate that the proposed method is more accurate and effective.
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