[1]
Rese, M., W.C. Strotmann, and M. Karger, Which industrial product service system fits best?: Evaluating flexible alternatives based on customers' preference drivers. Journal of Manufacturing Technology Management, 2009. 20(5): pp.640-653.
DOI: 10.1108/17410380910961037
Google Scholar
[2]
Schweitzer, E., C. Mannweiler, and J. Aurich. Continuous improvement of industrial product-service systems. 2009: Cranfield University Press.
Google Scholar
[3]
Manzini, E. and C. Vezzoli, A strategic design approach to develop sustainable product service systems: examples taken from the 'environmentally friendly innovation'Italian prize. Journal of Cleaner Production, 2003. 11(8): pp.851-857.
DOI: 10.1016/s0959-6526(02)00153-1
Google Scholar
[4]
Baines, T., et al., State-of-the-art in product-service systems. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2007. 221(10): pp.1543-1552.
Google Scholar
[5]
Cohen, M.A., N. Agrawal, and V. Agrawal, Winning in the Aftermarket. Harvard business review, 2006. 84(5): p.129.
Google Scholar
[6]
Mont, O., Clarifying the concept of product–service system. Journal of Cleaner Production, 2002. 10(3): pp.237-245.
DOI: 10.1016/s0959-6526(01)00039-7
Google Scholar
[7]
Tukker, A., Eight types of product–service system: eight ways to sustainability? Experiences from SusProNet. Business Strategy and the Environment, 2004. 13(4): pp.246-260.
DOI: 10.1002/bse.414
Google Scholar
[8]
Maussang, N., P. Zwolinski, and D. Brissaud, Product-service system design methodology: from the PSS architecture design to the products specifications. Journal of Engineering Design, 2009. 20(4): pp.349-366.
DOI: 10.1080/09544820903149313
Google Scholar
[9]
Aurich, J., et al., Configuration of product-service systems. Journal of Manufacturing Technology Management, 2009. 20(5): pp.591-605.
Google Scholar
[10]
Mannweiler, C. and J.C. Aurich, Customer oriented Configuration of Product-Service Systems. Functional Thinking for Value Creation, 2011: pp.81-86.
DOI: 10.1007/978-3-642-19689-8_16
Google Scholar
[11]
Shen, J. and L. Wang. Configuration Rules Acquisition for Product Extension Services Using Local Cluster Neural Network and RULEX Algorithm. 2010: IEEE.
DOI: 10.1109/aici.2010.47
Google Scholar
[12]
Arakawa, M., W. Shiraki, and H. Ishikawa. Kansei design using genetic algorithms. 1999: IEEE.
Google Scholar
[13]
Kinoshita, Y., et al., Kansei and colour harmony models for townscape evaluation. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 2006. 220(8): pp.725-734.
DOI: 10.1243/09596518jsce149
Google Scholar
[14]
Greco, S., B. Matarazzo, and R. Slowinski, Rough approximation by dominance relations. International journal of intelligent systems, 2002. 17(2): pp.153-171.
DOI: 10.1002/int.10014
Google Scholar
[15]
Greco, S., B. Matarazzo, and R. Slowinski, Rough approximation of a preference relation by dominance relations. European Journal of Operational Research, 1999. 117(1): pp.63-83.
DOI: 10.1016/s0377-2217(98)00127-1
Google Scholar
[16]
Zhai, L.Y., L.P. Khoo, and Z.W. Zhong, A rough set based decision support approach to improving consumer affective satisfaction in product design. International Journal of Industrial Ergonomics, 2009. 39(2): pp.295-302.
DOI: 10.1016/j.ergon.2008.11.003
Google Scholar