Multi-issue negotiation in quality function deployment: Modified Even-Swaps in new product development

A multi-issue negotiation based QFD methodology is proposed.Complicated design trade-offs can be handled.Customer requirements are included in real-time.A mode for negotiation of decentralized NPD teams is provided.Customers play a more active role in NPD. Quality function deployment (QFD) is one of the most powerful methodologies in new product development (NPD) because of its systematic support of knowledge creation and sharing. However, greater product complexity, increasing dynamic customer requirements and further decentralization of innovation teams undermine applicability of QFD in modern NPD. Modifying QFD methodology with a multi-issue negotiation mechanism promises to overcome these obstacles because this negotiation-based structure (i) enables QFD to define a large number of interdependent decision parameters while handling complicated design trade-offs, (ii) includes changing customer requirements in real-time rather than a cycle-time determined by length of the product development process, (iii) allows decentralized NPD teams to negotiate with each other and customers concurrently. This study presents a multi-issue negotiation based QFD methodology by using a recently developed mechanism for multi-issue negotiation (namely, Modified Even-Swaps) and illustrates strengths and weaknesses along with practical insights with a case study of the development of a washing machine. The QFD methodology proposed in this study provides new options to assess new product alternatives by allowing customer co-creation which is essential in complex and often tacit-knowledge dependent comparisons and also intrinsically helpful for fine-tuning dynamically evolving customer requirements. Moreover, it supports competition-based interactions of decentralized NPD teams.

[1]  Selim Zaim,et al.  Use of ANP weighted crisp and fuzzy QFD for product development , 2014, Expert Syst. Appl..

[2]  H. Ernst Success Factors of New Product Development: A Review of the Empirical Literature , 2002 .

[3]  Ming-Chyuan Lin,et al.  Using AHP and TOPSIS approaches in customer-driven product design process , 2008, Comput. Ind..

[4]  Soe-Tsyr Yuan,et al.  An Incentive Mechanism for Ad-Hoc Wireless Content Service: Contextualized Micro Pricing , 2010, Int. J. Inf. Technol. Decis. Mak..

[5]  Gülçin Büyüközkan,et al.  A fuzzy optimization model for QFD planning process using analytic network approach , 2006, Eur. J. Oper. Res..

[6]  Elissaveta Gourova,et al.  Raising creativity and participation in innovation and knowledge management activities , 2011, 2011 17th International Conference on Concurrent Enterprising.

[7]  Liang-Hsuan Chen,et al.  A fuzzy nonlinear model for quality function deployment considering Kano's concept , 2008, Math. Comput. Model..

[8]  Chih-Hsuan Wang,et al.  Using quality function deployment for collaborative product design and optimal selection of module mix , 2012, Comput. Ind. Eng..

[9]  Jian-Bo Yang,et al.  Evidential Reasoning Approach for Multiattribute Decision Analysis Under Both Fuzzy and Interval Uncertainty , 2009, IEEE Transactions on Fuzzy Systems.

[10]  E. Hippel,et al.  The Age of the Consumer-Innovator , 2011 .

[11]  Qiang Wang,et al.  THE INFORMATION TECHNOLOGY CAPABILITY OF THIRD‐PARTY LOGISTICS PROVIDERS: A RESOURCE‐BASED VIEW AND EMPIRICAL EVIDENCE FROM CHINA , 2008 .

[12]  C K Kwong,et al.  Determining the Importance Weights for the Customer Requirements in QFD Using a Fuzzy AHP with an Extent Analysis Approach , 2003 .

[13]  Ming-Lang Tseng,et al.  Using QFD and ANP to analyze the environmental production requirements in linguistic preferences , 2010, Expert Syst. Appl..

[14]  Kalyanmoy Deb,et al.  Multiple Criteria Decision Making, Multiattribute Utility Theory: Recent Accomplishments and What Lies Ahead , 2008, Manag. Sci..

[15]  E. Hippel,et al.  FROM EXPERIENCE: Developing New Product Concepts Via the Lead User Method: A Case Study in a “Low-Tech” Field , 1992 .

[16]  Shih-Wen Hsiao,et al.  A neurofuzzy-evolutionary approach for product design , 2004, Integr. Comput. Aided Eng..

[17]  S. Emre Alptekin,et al.  Product evaluation and development process using a fuzzy compromise-based goal programming approach , 2008, J. Intell. Fuzzy Syst..

[18]  Zülal Güngör,et al.  A new mixed integer linear programming model for product development using quality function deployment , 2009, Comput. Ind. Eng..

[19]  Han-Lin Li,et al.  Visualizing decision process on spheres based on the even swap concept , 2008, Decis. Support Syst..

[20]  Min Xie,et al.  A systematic methodology to deal with the dynamics of customer needs in Quality Function Deployment , 2011, Expert Syst. Appl..

[21]  Jian Zhou,et al.  Determination of target values of engineering characteristics in QFD using a fuzzy chance-constrained modelling approach , 2014, Neurocomputing.

[22]  O. Gassmann,et al.  Managing the Risk of Customer Integration , 2005 .

[23]  Gary L. Lilien,et al.  Performance Assessment of the Lead User Idea-Generation Process for New Product Development , 2002, Manag. Sci..

[24]  E. Hippel,et al.  Lead users: a source of novel product concepts , 1986 .

[25]  Paul Israel,et al.  The Sources of Innovation , 1990 .

[26]  Wei Xiong,et al.  An integrated linguistic-based group decision-making approach for quality function deployment , 2011, Expert Syst. Appl..

[27]  Hajime Yamashina,et al.  Innovative product development process by integrating QFD and TRIZ , 2002 .

[28]  C. K. Kwong,et al.  A fuzzy AHP approach to the determination of importance weights of customer requirements in quality function deployment , 2002, J. Intell. Manuf..

[29]  Hao-Tien Liu,et al.  Product design and selection using fuzzy QFD and fuzzy MCDM approaches , 2011 .

[30]  Mohsen Moradi,et al.  Fuzzy Quality Function Deployment: An Analytical Literature Review , 2013 .

[31]  Liang-Hsuan Chen,et al.  Fuzzy approaches to quality function deployment for new product design , 2009, Fuzzy Sets Syst..

[32]  Jiafu Tang,et al.  An optimization method for components selection using quality function deployment , 2008 .

[33]  Raimo P. Hämäläinen,et al.  Smart-Swaps - A decision support system for multicriteria decision analysis with the even swaps method , 2007, Decis. Support Syst..

[34]  O. Gassmann,et al.  Lessons from Ideation: Where Does User Involvement Lead Us? , 2014 .

[35]  D. Hoffman,et al.  The “Right” Consumers for Better Concepts: Identifying Consumers High in Emergent Nature to Develop New Product Concepts , 2010 .

[36]  Türkay Dereli,et al.  Development of a framework for customer co-creation in NPD through multi-issue negotiation with issue trade-offs , 2013, Expert Syst. Appl..

[37]  Peter R. Magnusson,et al.  Users as a Hidden Resource for Creativity: Findings from an Experimental Study on User Involvement , 2002 .

[38]  D. Mahr,et al.  The Value of Customer Co-Created Knowledge during the Innovation Process , 2013 .

[39]  Pamela D. Morrison,et al.  Integrating Customers in Product Innovation: Lessons from Industrial Development Contractors and In-House Contractors in Rapidly Changing Customer Markets , 2010 .

[40]  William L. Moore,et al.  A Comparison of Quality Function Deployment and Conjoint Analysis in New Product Design , 2002 .

[41]  Gerald W. Evans,et al.  Fuzzy multicriteria models for quality function deployment , 2000, Eur. J. Oper. Res..

[42]  Sevin Sozer,et al.  Product planning in quality function deployment using a combined analytic network process and goal programming approach , 2003 .

[43]  Vittorio Chiesa,et al.  Measuring Performance in New Product Development Projects: A Case Study in the Aerospace Industry , 2007 .

[44]  R. Boutellier,et al.  Management of Dispersed Product Development Teams: The Role of Information Technologies , 1998 .

[45]  Amy H. I. Lee,et al.  An integrated fuzzy QFD framework for new product development , 2011 .

[46]  Joseph E. Kasser,et al.  How lessons learned from using QFD led to the evolution of a process for creating quality requirements for complex systems , 2007 .

[47]  A. Chakrabarti,et al.  Innovation Speed: A Conceptual Model of Context, Antecedents, and Outcomes , 1996 .

[48]  Shih-Wen Hsiao,et al.  Concurrent design method for developing a new product , 2002 .

[49]  C. Prahalad,et al.  Co-creation experiences: The next practice in value creation , 2004 .

[50]  Eric von Hippel,et al.  Finding Commercially Attractive User Innovations: A Test of Lead User Theory , 2005 .

[51]  Eric S. K. Yu,et al.  Comparing alternatives for analyzing requirements trade-offs - In the absence of numerical data , 2012, Inf. Softw. Technol..

[52]  Amy H. I. Lee,et al.  An evaluation framework for product planning using FANP, QFD and multi-choice goal programming , 2010 .

[53]  Türkay Dereli,et al.  Even easier multi-issue negotiation through Modified Even-Swaps considering practically dominated alternatives , 2014, Comput. Ind. Eng..

[54]  Zeynep Sener,et al.  A decision model for setting target levels in quality function deployment using nonlinear programming-based fuzzy regression and optimization , 2010 .

[55]  Kwai-Sang Chin,et al.  A linear goal programming priority method for fuzzy analytic hierarchy process and its applications in new product screening , 2008, Int. J. Approx. Reason..

[56]  Jun Li,et al.  Collaborative New Product Alliances: A Review of the Literature and Research Perspectives , 2015 .

[57]  Saadettin Erhan Kesen,et al.  New product design using FDMS and FANP under fuzzy environment , 2011, Appl. Soft Comput..

[58]  W. Pedrycz Why triangular membership functions , 1994 .

[59]  David Xiaosong Peng,et al.  Collaborative Product Development: The Effect of Project Complexity on the Use of Information Technology Tools and New Product Development Practices , 2014 .

[60]  S. Farid Mousavi,et al.  Group decision making process for supplier selection with VIKOR under fuzzy environment , 2010, Expert Syst. Appl..

[61]  Kampan Mukherjee,et al.  Development of an AHP-QFD framework for designing a tourism product , 2008 .

[62]  Esmaeil Mehdizadeh,et al.  Ranking of customer requirements using the fuzzy centroid‐based method , 2010 .

[63]  Tingting Mu,et al.  Classification of breast masses via nonlinear transformation of features based on a kernel matrix , 2007, Medical & Biological Engineering & Computing.

[64]  Liang-Chih Huang,et al.  Fuzzy Group Decision-Making for Service Innovations in Quality Function Deployment , 2012 .

[65]  Pietro Romano,et al.  Using value analysis to support knowledge transfer in the multi-project setting , 2011 .

[66]  Takayuki Ito,et al.  An Approach to Scalable Multi-issue Negotiation: Decomposing the Contract Space Based on Issue Interdependencies , 2010, 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

[67]  J S Hammond,et al.  Even swaps: a rational method for making trade-offs. , 1998, Harvard business review.

[68]  Terry P. Harrison,et al.  Better, Faster, Cheaper: An Experimental Analysis of a Multiattribute Reverse Auction Mechanism with Restricted Information Feedback , 2005, Manag. Sci..

[69]  Liang-Hsuan Chen,et al.  Fuzzy linear programming models for NPD using a four-phase QFD activity process based on the means-end chain concept , 2010, Eur. J. Oper. Res..

[70]  Da Ruan,et al.  Determining the importance weights for the design requirements in the house of quality using the fuzzy analytic network approach , 2004 .

[71]  S. K. Mukherjee,et al.  Integrating AHP with QFD for robot selection under requirement perspective , 2005 .

[72]  Satish Nambisan,et al.  DESIGNING VIRTUAL CUSTOMER ENVIRONMENTS FOR NEW PRODUCT DEVELOPMENT : TOWARD A THEORY , 2005 .

[73]  Han-Lin Li,et al.  Using Gower Plots and Decision Balls to rank alternatives involving inconsistent preferences , 2011, Decis. Support Syst..

[74]  Johann C.K.H. Riedel,et al.  A Conceptualisation of Design Context to Explain Design Trade-Offs in the Automotive Industry , 2006 .

[75]  Türkay Dereli,et al.  Modified Even-Swaps: A novel, clear, rational and an easy-to-use mechanism for multi-issue negotiation , 2012, Comput. Ind. Eng..

[76]  Jonas Roth,et al.  Enabling knowledge creation: learning from an R&D organization , 2003, J. Knowl. Manag..

[77]  Ramakrishnan Ramanathan,et al.  Incorporating cost and environmental factors in quality function deployment using data envelopment analysis , 2009 .

[78]  Antonella Petrillo,et al.  A MULTIPLE CHOICE DECISION ANALYSIS: AN INTEGRATED QFD-AHP MODEL FOR THE ASSESSMENT OF CUSTOMER NEEDS , 2011 .

[79]  N. P. Mukherjee,et al.  Rapid hard tooling process selection using QFD‐AHP methodology , 2006 .

[80]  Melvin F. Shakun,et al.  Multi-bilateral Multi-issue E-negotiation in E-commerce with a Tit-for-Tat Computer Agent , 2005 .

[81]  Eric H. Kessler,et al.  Is faster really better? An empirical test of the implications of innovation speed , 2002, IEEE Trans. Engineering Management.

[82]  I. Nonaka,et al.  How Japanese Companies Create the Dynamics of Innovation , 1995 .

[83]  Raimo P. Hämäläinen,et al.  A Preference Programming Approach to Make the Even Swaps Method Even Easier , 2005, Decis. Anal..

[84]  Geoffrey A. Moore Crossing the chasm : marketing and selling high-tech products to mainstream customers , 1999 .

[85]  Dharmendra Sharma,et al.  Development of a Multi-issue Negotiation System for E-Commerce , 2011 .

[86]  O. Gassmann,et al.  Market versus technology drive in R&D internationalization: four different patterns of managing research and development , 2002 .

[87]  Richard R. Reilly,et al.  Understanding Antecedents of New Product Development Speed: A Meta-Analysis , 2010 .

[88]  E. Ertugrul Karsak,et al.  An integrated decision making approach for ERP system selection , 2009, Expert Syst. Appl..

[89]  Chi-Kuang Chen,et al.  Developing a revised QFD technique to meet the needs of multiple-customer groups: a case of public policy analysis , 2012 .

[90]  Da Ruan,et al.  Determining the importance weights for the design requirements in the house of quality using the fuzzy analytic network approach , 2004, Int. J. Intell. Syst..

[91]  Bor-Wen Cheng,et al.  Applying Even-Swap Method to Structurally Enhance the Process of Intuition Decision-Making , 2006 .

[92]  Zeki Ayağ,et al.  Evaluating machine tool alternatives through modified TOPSIS and alpha-cut based fuzzy ANP , 2012 .

[93]  Wayne D. Hoyer,et al.  Consumer Cocreation in New Product Development , 2010 .

[94]  E. Ertugrul Karsak,et al.  Fuzzy multiple objective decision making approach to prioritize design requirements in quality function deployment , 2004 .

[95]  Linda L. Price,et al.  The market maven: A diffuser of marketplace information. , 1987 .

[96]  Michael A. Allocca,et al.  Innovation Speed in Small and Medium-Sized Enterprises , 2006 .

[97]  Xin Li,et al.  Research on determining the key technology of new product plan and design , 2009, 2008 IEEE International Conference on Robotics and Biomimetics.

[98]  William G. Ferrell,et al.  A methodology for selection problems with multiple, conflicting objectives and both qualitative and quantitative criteria , 2003 .

[99]  Udo Lindemann,et al.  Structural Complexity Management: An Approach for the Field of Product Design , 2008 .

[100]  Jian Zhou,et al.  Using fuzzy non-linear regression to identify the degree of compensation among customer requirements in QFD , 2014, Neurocomputing.