A novel method for determining the key customer requirements and innovation goals in customer collaborative product innovation

Customer collaborative production innovation (CCPI) has become a worldwide new product design trend. The essential step to implement CCPI is to clear customer requirements and innovation goals for products. Based on the integration of traditional competitive priority ratings of customer requirements method for quality function deployment and grey relational analysis, this paper proposes a novel hybrid competitive priority ratings of customer requirements method for CCPI to identify the key customer requirements and innovation goals for a product. The method takes the heterogeneity of customers into consideration and allows different types of customers to assess customer requirements in their preferred or familiar formats which reflect their uncertainty degree. The proposed hybrid competitive priority ratings of customer requirements method represents a general approach for CCPI, does not require any transformation of multiform customers’ assessments that would cause information loss or information distortion. Its potential applications in determining the key customer requirements and innovation goals for CCPI are illustrated with a case study of smart phone development.

[1]  Jin Peng,et al.  Novel Method for Fuzzy Hybrid Multiple Attribute Decision Making , 2007, ICFIE.

[2]  Song Li-jun,et al.  Evaluation of collaborative innovative customer based on PWNN model and its application , 2008 .

[3]  Cornelius Herstatt,et al.  The Lead User Method: An Outline of Empirical Findings and Issues for Future Research , 2004 .

[4]  Zhang Xiaodong,et al.  Connotation,theory framework and application of customer collaborative innovation , 2008 .

[5]  Jin Hu,et al.  Merged request pattern and its application on customer collaborative product innovation platform , 2010 .

[6]  Liang Xue-dong,et al.  Research on the complexity of customer collaborative product innovation and innovation agent stimulus-response model , 2009 .

[7]  Sandra Cheriti,et al.  Proposition of a tool to evaluate customer’s performance in collaborative product development with suppliers , 2008 .

[8]  C. Y. Shih,et al.  Multi-objective optimization of the light guide rod by using the combined Taguchi method and Grey relational approach , 2014, J. Intell. Manuf..

[9]  Jeffrey Yi-Lin Forrest,et al.  The Current Developing Status on Grey System Theory , 2007 .

[10]  Alejandro Ramirez-Serrano,et al.  Customer-driven product design and evaluation method for collaborative design environments , 2011, J. Intell. Manuf..

[11]  Yang Yu,et al.  Research on the time optimization model algorithm of Customer Collaborative Product Innovation , 2014 .

[12]  Yang Yu,et al.  Research on Knowledge Sharing for Customer Collaborative Product Innovation based on Knowledge Grid , 2012 .

[13]  Yoon-Eui Nahm,et al.  A novel approach to prioritize customer requirements in QFD based on customer satisfaction function for customer-oriented product design , 2013 .

[14]  Jiafu Tang,et al.  An ECI-based methodology for determining the final importance ratings of customer requirements in MP product improvement , 2010, Expert Syst. Appl..

[15]  Funda Samanlioglu,et al.  A fuzzy QFD approach to determine supply chain management strategies in the dairy industry , 2013, J. Intell. Manuf..

[16]  Shuo-Fang Liu,et al.  An application of implementing a cognitive structure model to obtain consensus from consumers , 2013 .

[17]  Zhiming Zhang,et al.  Hesitant fuzzy power aggregation operators and their application to multiple attribute group decision making , 2013, Inf. Sci..

[18]  Benjamin C. M. Fung,et al.  Product customization of tablet computers based on the information of online reviews by customers , 2013, Journal of Intelligent Manufacturing.

[19]  Mohammed A. Omar,et al.  Design considerations of flat patterns analysis techniques when applied for folding 3-D sheet metal geometries , 2014, J. Intell. Manuf..

[20]  Gui-Wu Wei,et al.  Gray relational analysis method for intuitionistic fuzzy multiple attribute decision making , 2011, Expert Syst. Appl..

[21]  M. Lu,et al.  Integrating QFD, AHP and Benchmarking in Strategic Marketing , 1994 .

[22]  Hsing-Pei Kao,et al.  Rating the importance of customer needs in quality function deployment by fuzzy and entropy methods , 1999 .

[23]  Yong-Bin Li,et al.  Topsis method for hybrid multiple attribute decision making with 2-tuple linguistic information and its application to computer network security evaluation , 2014, J. Intell. Fuzzy Syst..

[24]  Jie Xu,et al.  An integrated method of rough set, Kano's model and AHP for rating customer requirements' final importance , 2009, Expert Syst. Appl..

[25]  A. Molina,et al.  Collaborative networked organisations and customer communities: value co-creation and co-innovation in the networking era , 2011 .

[26]  Taho Yang,et al.  The use of grey relational analysis in solving multiple attribute decision-making problems , 2008, Comput. Ind. Eng..

[27]  Xiao Zhang,et al.  Extended TODIM method for hybrid multiple attribute decision making problems , 2013, Knowl. Based Syst..

[28]  S. Kates,et al.  When Customers Get Clever: Managerial Approaches to Dealing with Creative Consumers , 2007, Strategic Direction.

[29]  Bao Beifang,et al.  Characteristic analysis of complex network for customer collaborative innovation network , 2013 .

[30]  Wei Gui-wu,et al.  Grey Relational Analysis Method for Hybrid Multiple Attribute Decision Making , 2008 .

[31]  Liu Pei-de Short communication: A novel method for hybrid multiple attribute decision making , 2009 .

[32]  Shu-Ping Wan Method Based on Interval-value Vague Set for Multi-sensor Object Recognition , 2009 .

[33]  Ming-Lu Wu,et al.  A systematic approach to quality function deployment with a full illustrative example , 2005 .

[34]  Chun-Chih Chen,et al.  Integrating the Kano model into a robust design approach to enhance customer satisfaction with product design , 2008 .

[35]  Da Ruan,et al.  Fuzzy group decision-making to multiple preference formats in quality function deployment , 2007, Comput. Ind..

[36]  Pisut Koomsap,et al.  Design by customer: concept and applications , 2013, J. Intell. Manuf..

[37]  Tsai-Chi Kuo,et al.  Mass customization and personalization software development: a case study eco-design product service system , 2012, Journal of Intelligent Manufacturing.

[38]  Min Xie,et al.  Ranking of customer requirements in a competitive environment , 2008, Comput. Ind. Eng..

[39]  D. Lei,et al.  Collaborative Innovation with Customers: A Review of the Literature and Suggestions for Future Research , 2012 .

[40]  Peide Liu,et al.  A grey relational projection method for multi-attribute decision making based on intuitionistic trapezoidal fuzzy number , 2013 .

[41]  Yi Lin,et al.  Grey enterprise input-output analysis , 2012, J. Comput. Appl. Math..

[42]  Wang Wei,et al.  Hybrid multiple attribute decision making model based on entropy , 2007 .

[43]  Mu-Shang Yin,et al.  Fifteen years of grey system theory research: A historical review and bibliometric analysis , 2013, Expert Syst. Appl..

[44]  Yang Jie,et al.  Risk management and assessment for customer collaborative products innovation realization , 2010 .

[45]  Izabela Kutschenreiter-Praszkiewicz,et al.  Application of neural network in QFD matrix , 2013, J. Intell. Manuf..

[46]  Fei Li,et al.  Selection Method of Customer Partners in Customer Collaborative Product Innovation , 2014, J. Intell. Syst..

[47]  Jian Ma,et al.  A statistical approach to multiple-attribute decision-making with interval numbers , 2003, Int. J. Syst. Sci..

[48]  San-yang Liu,et al.  An extended GRA method for MCDM with interval-valued triangular fuzzy assessments and unknown weights , 2011, Comput. Ind. Eng..

[49]  Ling Li,et al.  Mirroring Mobile Phone in the Clouds , 2014, 2014 IEEE International Conference on Mobile Services.

[50]  Shirin Alavi,et al.  Collaborative Customer Relationship Management-Co-Creation and Collaboration through Online Communities , 2013, Int. J. Virtual Communities Soc. Netw..

[51]  Ralf Reichwald,et al.  Customers as part of value Webs: towards a framework for webbed customer innovation tools , 2004 .

[52]  Guiwu Wei,et al.  Grey relational analysis model for dynamic hybrid multiple attribute decision making , 2011, Knowl. Based Syst..

[53]  Hsin-Hung Wu,et al.  A Comparative Study of Using Grey Relational Analysis in Multiple Attribute Decision Making Problems , 2002 .

[54]  Deng Ju-Long,et al.  Control problems of grey systems , 1982 .

[55]  Yoon-Eui Nahm,et al.  New rating methods to prioritize customer requirements in QFD with incomplete customer preferences , 2013 .

[56]  Zaifang Zhang,et al.  Fuzzy group decision-making for multi-format and multi-granularity linguistic judgments in quality function deployment , 2009, Expert Syst. Appl..

[57]  E. Hippel,et al.  Customers As Innovators: A New Way to Create Value , 2002 .

[58]  Glen L. Urban,et al.  Lead User Analyses for the Development of New Industrial Products , 1988 .

[59]  Ying-Ming Wang,et al.  Assessing the relative importance weights of customer requirements using multiple preference formats and nonlinear programming , 2012 .

[60]  Fumin Deng,et al.  Study on Knowledge Sharing Performance Evaluation and Application of Customer Collaborative Product Innovation Process , 2012 .

[61]  Yoon-Eui Nahm,et al.  New competitive priority rating method of customer requirements for customer-oriented product design , 2013 .

[62]  Gui-Wu Wei,et al.  GRA method for multiple attribute decision making with incomplete weight information in intuitionistic fuzzy setting , 2010, Knowl. Based Syst..