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Full Length Research Paper
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Strategy
selection for product service systems using case-based
reasoning
Kun-Hsiang Lin*,
Li-Hsing Shih, Shing-Shuen Lu and Yung-The Lin
Department of Resources Engineering, National Cheng Kung
University, Tainan, Taiwan, R. O. C.
*Corresponding author. E-mail:
n4892126@ccmail.ncku.edu.tw. Tel: +886 6 2757575 ext.
62840. Fax: +886 6 2380421.
Accepted 22 April, 2010 |
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Abstract |
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A product service system integrates products and services in
order to lower environmental impact. It can achieve good
eco-efficiency and has received increase in the last decade.
This study focuses on strategy selection for product service
system design. Case-based reasoning is utilized to provide
suggestions for finding an appropriate strategy. To build a case
database, successful PSS cases from the literature and websites
were collected and formulated. Twelve indices under three
categories were analyzed and selected to describe cases. A lot
of successful PSS cases and their information were collected.
Forty seven cases were used in this study because of the
completeness of information. The analytic hierarchic process is
used to find the relative weights of the factors that relate to
the selection of customers. These weights are used in
calculating the similarity in the case-based reasoning process.
The successful strategy of the most similar case is extracted
and recommended for PSS strategy determination. More than 90% of
tested cases obtained an appropriate strategy from the most
similar case. Finally, two new products are introduced to find
the best strategy for product service system design and
development using the proposed case-based reasoning system.
Key words:
Product service system, analytical hierarchic process,
case-based reasoning. |