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Titlebook: Customization-Oriented Design of Product-Service System; Wenyan Song Book 2019 Springer Nature Singapore Pte Ltd. 2019 Product-service sys

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發(fā)表于 2025-3-23 13:18:03 | 只看該作者
978-981-13-4521-0Springer Nature Singapore Pte Ltd. 2019
12#
發(fā)表于 2025-3-23 15:11:25 | 只看該作者
Wenyan SongProvides a customization framework with a systematic design process and key technologies..Resolves the potential design conflicts to reduce possible defects in PSS delivery..Introduces modular design
13#
發(fā)表于 2025-3-23 20:31:52 | 只看該作者
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發(fā)表于 2025-3-24 00:54:06 | 只看該作者
Requirements Specification for Customizable PSS,eloped by Song et al. (J Prod Res 52(18):5528–5545, .). The method includes two stages: determining importance of customer requirement and the prioritizing the technical attributes based on rough set theory and grey relational analysis (GRA).
15#
發(fā)表于 2025-3-24 05:22:27 | 只看該作者
Personalized Recommendation of Customizable PSS to Customers, effectively find the most suitable PSS to meet their personalized needs. In order to accurately discover the needed or wanted PSS with lower search costs, it is effective to recommend suitable PSS solutions to the appropriate buyers.
16#
發(fā)表于 2025-3-24 08:48:19 | 只看該作者
17#
發(fā)表于 2025-3-24 10:59:58 | 只看該作者
https://doi.org/10.1007/978-3-030-79225-1 effectively find the most suitable PSS to meet their personalized needs. In order to accurately discover the needed or wanted PSS with lower search costs, it is effective to recommend suitable PSS solutions to the appropriate buyers.
18#
發(fā)表于 2025-3-24 16:11:02 | 只看該作者
19#
發(fā)表于 2025-3-24 20:46:30 | 只看該作者
Symptoms and Consequences of Bad Moneyeloped by Song et al. (J Prod Res 52(18):5528–5545, .). The method includes two stages: determining importance of customer requirement and the prioritizing the technical attributes based on rough set theory and grey relational analysis (GRA).
20#
發(fā)表于 2025-3-25 00:43:52 | 只看該作者
A Short History of Modern Moneyasible solutions, especially when there are more module instances or fewer configuration constraints. This will increase the burden of service solution screening and reduce the efficiency of service delivery. To solve this problem, Song and Chan (.) develop a multi-objective optimization model for c
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