Modularization of Product Service System Based on Functional Requirement

Abstract The customers need no longer just a physical product, but rather the required function provided by the offering of product and service, namely product service system (PSS). Modularization plays a key role in the PSS development in order to address and support individual conceptual design. Functional requirements of PSS can be identified and then classified into different clusters by using a fuzzy clustering algorithm. Considering the relationships between the products and services in a PSS with functional requirement clusters, PSS can be clustered into several modules. Through the modularization, PSS can be easily to customized design for meeting individual requirements. A numeral control machine case is used to show the validity and feasibility of the proposed method.

[1]  Paolo Giordani,et al.  A fuzzy clustering procedure for random fuzzy sets , 2016, Fuzzy Sets Syst..

[2]  Ma Jun,et al.  Research on generalized product and its modularization process , 2011, 2011 International Conference on System science, Engineering design and Manufacturing informatization.

[3]  Joseph Aguilar-Martin,et al.  Automaton based on fuzzy clustering methods for monitoring industrial processes , 2013, Eng. Appl. Artif. Intell..

[4]  Zaifang Zhang,et al.  A new integrated decision-making approach for design alternative selection for supporting complex product development , 2009, Int. J. Comput. Integr. Manuf..

[5]  Qiao Dongping.  Review on modular structure modeling method for complex integrated service mechanical product , 2013 .

[6]  Yixiong Feng,et al.  Product modular design incorporating preventive maintenance issues , 2016 .

[7]  Quang Jia-qing.  Modular Clustering Method Based on Rough Set and Application , 2011 .

[8]  Yupeng Li,et al.  An integrated module partition approach for complex products and systems based on weighted complex networks , 2014 .

[9]  Lin Jie,et al.  Research on module partition method for mass customization based on ant colony clustering algorithm , 2008 .

[10]  Xin Guo Ming,et al.  Modular Development of Product Service Systems , 2011, Concurr. Eng. Res. Appl..

[11]  Mica Comstock,et al.  Modeling design objects in CAD system for Service/Product Engineering , 2009, Comput. Aided Des..

[12]  Tao Yu,et al.  A network methodology for structure-oriented modular product platform planning , 2015, J. Intell. Manuf..

[13]  Valérie Laforest,et al.  Investigating Sustainability Assessment Methods of Product-service Systems , 2015 .

[14]  Cheng Chen,et al.  Applying independence axiom and design structure matrix to product module division , 2010, 2010 International Conference on Mechanic Automation and Control Engineering.

[15]  Kazuhiro Aoyama,et al.  Module division planning considering uncertainties , 2009 .

[16]  Yanfeng Chu,et al.  Product requirement analysis based on the improved house of quality , 2015, 2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS).

[17]  Yan Junqi.  Qualitative and Quantitative Analysis of Requirements on Product Function , 2010 .

[18]  T S Baines,et al.  State-of-the-art in product-service systems , 2007 .

[19]  Daniel Pacheco Lacerda,et al.  Product modularization and effects on efficiency: An analysis of a bus manufacturer using data envelopment analysis (DEA) , 2016 .