The use of fuzzy logic in product family development: literature review and opportunities

Over the past few years, a number of key issues related to the product family design have been addressed, and a great deal of work has been done to improve it. Many different tools have been employed in this effort, such as mass customization, modularity, delayed differentiation, commonality, platforms, product families, and so on. The purpose of this paper is to analyze how fuzzy logic has been applied and how it can help to improve the entire process of product family development. Given its powerful capability to represent aspects that binary variables cannot, we show how fuzzy logic has been used to take advantage by considering the vague parameters related to the human character in different processes. Our aim is to contribute to the understanding and improvement of product family development process by identifying essential applications of fuzzy logic. An extended overview of the product family development process is provided, and also this work highlights the role of fuzzy logic in it. Fourteen fuzzy logic tools and thirteen topics into the product family development process are identified and summarized as a framework to analyze the role of fuzzy logic and at the same time to identify further application opportunities.

[1]  Andrew Kusiak,et al.  Design of assembly systems for modular products , 1997, IEEE Trans. Robotics Autom..

[2]  Liang-Hsuan Chen,et al.  An evaluation approach to engineering design in QFD processes using fuzzy goal programming models , 2006, Eur. J. Oper. Res..

[3]  Gülçin Büyüközkan,et al.  Evaluation of New Product Development Projects using Artificial Intelligence and Fuzzy Logic , 2007 .

[4]  Andrew Kusiak,et al.  Design for Cost: Module-Based Mass Customization , 2007, IEEE Transactions on Automation Science and Engineering.

[5]  Richard Y. K. Fung,et al.  Design targets determination for inter‐dependent product attributes in QFD using fuzzy inference , 1999 .

[6]  Yun-Shiow Chen,et al.  Fuzzy ranking and quadratic fuzzy regression , 1999 .

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

[8]  Michel Tollenaere,et al.  Modular and platform methods for product family design: literature analysis , 2005, J. Intell. Manuf..

[9]  Rahul Singh,et al.  A Model-Based Approach for Planning and Developing a Family of Technology-Based Products , 1999, Manuf. Serv. Oper. Manag..

[10]  V. Selladurai,et al.  Fuzzy logic approach to prioritise engineering characteristics in quality function deployment (FL‐QFD) , 2004 .

[11]  F. Salvadora,et al.  Modularity , product variety , production volume , and component sourcing : theorizing beyond generic prescriptions , 2002 .

[12]  Xiao,et al.  Study on an Configuration Framework for Product Family , 2001 .

[13]  Ziqiang Zhou,et al.  Custumer oriented virtual cooperative product design , 2005, Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005..

[14]  E M.  Extended Generic Product Structure : An Information Model for Representing Product Families , 2006 .

[15]  Andrew Kusiak,et al.  Standardization of Components, Products and Processes with Data Mining , 2004 .

[16]  Michael J. Scott,et al.  Effective Product Family Design Using Preference Aggregation , 2006 .

[17]  Gunilla Sivard,et al.  A generic information platform for product families , 2001 .

[18]  Mitchell M. Tseng,et al.  Product family modeling for mass customization , 1998 .

[19]  Zuhua Jiang,et al.  On the module identification for product family development , 2007 .

[20]  Henri Jehan Thevenot,et al.  A METHOD FOR PRODUCT FAMILY REDESIGN BASED ON COMPONENT COMMONALITY ANALYSIS , 2006 .

[21]  Freek Erens,et al.  Architectures for product families , 1997 .

[22]  Wenyu Zhang,et al.  Managing modularity in product family design with functional modeling , 2006 .

[23]  R. V. Hoek,et al.  The rediscovery of postponement a literature review and directions for research , 2001 .

[24]  Richard Y. K. Fung,et al.  Fuzzy regression-based mathematical programming model for quality function deployment , 2004 .

[25]  Andrew Kusiak,et al.  Engineering Design: Products, Processes, and Systems , 1999 .

[26]  Ram D. Sriram,et al.  Evaluation and selection in product design for mass customization: A knowledge decision support approach , 2004, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[27]  Timothy W. Simpson,et al.  An Activity-Based Costing Method for Product Family Design in the Early Stages of Development , 2005, DAC 2005.

[28]  R. Y. K. Fung,et al.  Fuzzy expected value modelling approach for determining target values of engineering characteristics in QFD , 2005 .

[29]  Changan Ding.  RACEWAY CONTROL ASSUMPTION AND THE DETERMINATION OF ROLLING ELEMENT ATTITUDE ANGLE , 2001 .

[30]  Javier P. Gonzalez-Zugasti,et al.  Modular product architecture , 2001 .

[31]  N. D. Burns,et al.  Postponement: a review and an integrated framework , 2004 .

[32]  S. Kotha.  Mass Customization: The New Frontier in Business Competition , 1992 .

[33]  Jianxin Jiao,et al.  Design for mass customization by developing product family architecture , 1998 .

[34]  Ching-Torng Lin,et al.  A fuzzy-logic-based approach for new product Go/NoGo decision at the front end , 2004, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[35]  Farrokh Mistree,et al.  Balancing Commonality and Performance within the Concurrent Design of Multiple Products in a Product Family , 2001, Concurr. Eng. Res. Appl..

[36]  Ashraf Labib,et al.  Fuzzy Approaches to Evaluation in Engineering Design , 2005 .

[37]  Li Lin,et al.  Methods for processing and prioritizing customer demands in variant product design , 2004 .

[38]  Elim Liu,et al.  A structural component-based approach for designing product family , 2005, Comput. Ind..

[39]  Saurabh Gupta,et al.  Product family-based assembly sequence design methodology , 1998 .

[40]  Cengiz Kahraman,et al.  Evaluation of design requirements using fuzzy outranking methods , 2007, Int. J. Intell. Syst..

[41]  Timothy W. Simpson,et al.  Product platform design and customization: Status and promise , 2004, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[42]  Mitchell M. Tseng,et al.  Fuzzy Ranking for Concept Evaluation in Configuration Design for Mass Customization , 1998 .

[43]  Samuel H. Huang,et al.  Environmentally conscious design by using fuzzy multi-attribute decision-making , 2006 .

[44]  Timothy W. Simpson,et al.  Introduction of a product family penalty function using physical programming , 2000 .

[45]  N. Kalargeros,et al.  QFD : FOCUSING ON ITS SIMPLIFICATION AND EASY COMPUTERIZATION USING FUZZY LOGIC PRINCIPLES , 2014 .

[46]  Roger Jianxin Jiao,et al.  A methodology of developing product family architecture for mass customization , 1999, J. Intell. Manuf..

[47]  B. Agard,et al.  Data-mining-based methodology for the design of product families , 2004 .

[48]  Christopher S. Tang,et al.  Modelling the Costs and Benefits of Delayed Product Differentiation , 1997 .

[49]  Ryan Andrea Fellini,et al.  A model-based methodology for product family design. , 2003 .

[50]  B. Tabrizi,et al.  Defining next-generation products: an inside look. , 1997, Harvard business review.

[51]  Zülal Güngör,et al.  A fuzzy outranking method in energy policy planning , 2000, Fuzzy Sets Syst..

[52]  Richard Y. K. Fung,et al.  Product design resources optimization using a non-linear fuzzy quality function deployment model , 2002 .

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

[54]  Roger Jianxin Jiao,et al.  Product portfolio identification based on association rule mining , 2005, Comput. Aided Des..

[55]  Mark Ferguson,et al.  Evaluation of postponement structures to accommodate mass customization , 2005 .

[56]  Zhang Kun.  System Analysis of New Product Family Development Selection , 2006 .

[57]  Donald M. Anderson,et al.  Agile product development for mass customization , 1997 .

[58]  Timothy W. Simpson,et al.  A Methodology to Support Product Family Redesign Using Genetic Algorithm and Commonality Indices , 2005, DAC 2005.

[59]  Yoram Reich,et al.  Standardization and Modularization Driven by Minimizing Overall Process Effort , 2003 .

[60]  Egon Ostrosi,et al.  Configurable product design using multiple fuzzy models , 2005 .

[61]  Zahed Siddique,et al.  Product Family Architecture Reasoning , 2005 .

[62]  Timothy W. Simpson,et al.  Product Family Representation and Redesign: Increasing Commonality Using Formal Concept Analysis , 2005, DAC 2005.

[63]  Jiafu Tang,et al.  Rating technical attributes in fuzzy QFD by integrating fuzzy weighted average method and fuzzy expected value operator , 2006, Eur. J. Oper. Res..

[64]  Bruno Agard,et al.  DESIGN OF PRODUCT FAMILIES: METHODOLOGY AND APPLICATION , 2003 .

[65]  Chi-Hsing Hsu,et al.  Fuzzy decision modeling for manufacturability evaluation under the concurrent engineering environment , 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

[66]  George Q. Huang,et al.  The power of product platforms in mass customisation , 2005 .

[67]  B. Agard,et al.  Composition of modules' stock using simulated annealing , 2005, (ISATP 2005). The 6th IEEE International Symposium on Assembly and Task Planning: From Nano to Macro Assembly and Manufacturing, 2005..

[68]  Timothy W. Simpson,et al.  Redesigning Product Families using Heuristics and Shared Ontological Component Information , 2006, 2006 IEEE International Conference on Information Reuse & Integration.

[69]  Jan Gerben Wijnstra.  Classifying product families using platform coverage and variation mechanisms , 2005, Softw. Pract. Exp..

[70]  Zuhua Jiang,et al.  Research and development on constraint-based product family design and assembly simulation , 2003 .

[71]  Seung Ki Moon,et al.  Data Mining and Fuzzy Clustering to Support Product Family Design , 2006, DAC 2006.

[72]  Qiang Zhang,et al.  A SA-based method for developing modular product family , 2005, 2005 International Conference on Machine Learning and Cybernetics.

[73]  Gülçin Büyüközkan,et al.  A new approach based on soft computing to accelerate the selection of new product ideas , 2004, Comput. Ind..

[74]  Henri J. Thevenot,et al.  A comprehensive metric for evaluating component commonality in a product family , 2007, DAC 2006.

[75]  T. Simpson.  A concept exploration method for product family design , 1998 .

[76]  Juite Wang,et al.  Fuzzy outranking approach to prioritize design requirements in quality function deployment , 1999 .

[77]  Luiz Fernando Capretz,et al.  Fuzzy inference system for software product family process evaluation , 2008, Inf. Sci..

[78]  Javier P. Gonzalez-Zugasti,et al.  A Method for Architecting Product Platforms , 2000 .

[79]  Xuehong Du,et al.  Architecture of product family for mass customization , 2000, Proceedings of the 2000 IEEE International Conference on Management of Innovation and Technology. ICMIT 2000. 'Management in the 21st Century' (Cat. No.00EX457).

[80]  Panos Y. Papalambros,et al.  Platform Selection Under Performance Bounds in Optimal Design of Product Families , 2005 .

[81]  Javier P. Gonzalez-Zugasti,et al.  Assessing value in platformed product family design , 2001 .

[82]  A. de Korvin,et al.  Fuzzy quality function deployment: determining the distributions of effort dedicated to technical change , 2004 .

[83]  Hau L. Lee,et al.  Mass Customization at Hewlett-Packard : The Power of Postponement , 1999 .

[84]  Cengiz Kahraman,et al.  Evaluation of design requirements using fuzzy outranking methods: Research Articles , 2007 .

[85]  Shaowei Gong.  Discussion of the design philosophy and modified non-expert fuzzy set model for better product design , 2006 .

[86]  Zahed Siddique,et al.  A Grammatical Approach to Support Real-Time Design of Customized Products , 2005 .

[87]  Rahul Rai,et al.  Modular product family design: Agent-based Pareto-optimization and quality loss function-based post-optimal analysis , 2003 .

[88]  Gülçin Büyüközkan,et al.  A fuzzy-logic-based decision-making approach for new product development , 2004 .

[89]  L. Vanegas,et al.  Application of new fuzzy-weighted average (NFWA) method to engineering design evaluation , 2001 .

[90]  Ashraf Labib,et al.  A Fuzzy Quality Function Deployment (FQFD) model for deriving optimum targets , 2001 .

[91]  Marc H. Meyer,et al.  Metrics for Managing Research and Development in the Context of the Product Family , 1997 .

[92]  Byung Rae Cho,et al.  Development of a Scaling Factor Identification Method Using Design of Experiments for Product-Family-Based Product and Process Design , 2002 .

[93]  Mitchell M. Tseng,et al.  Understanding product family for mass customization by developing commonality indices , 2000 .

[94]  Timothy W. Simpson,et al.  A Comparison of Commonality Indices for Product Family Design , 2004, DAC 2004.