An approach based on fuzzy sets for manufacturing system design

Abstract In a total quality strategy, the design activity of manufacturing systems consists in searching for the means able to satisfy all users' needs from company customer to floor plant workers. Due to the variety of information sources and to the continuous changes of aimed goal, the data is inaccurate and vague. We propose to represent the needs using fuzzy sets to model wishes expressed in a linguistic way. Fuzzy logic is used to aggregate specifications and to deploy solutions. Possibility theory finally allows a graded evaluation of expected performances.

[1]  J. Macedo.  A generative system for re-engineering manufacturing system organization , 1999 .

[2]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[3]  Wynne Hsu,et al.  Fuzzy application in tolerance design , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.

[4]  Y H Chen.  Fuzzy Ratings in Mechanical Engineering Design—Application to Bearing Selection , 1996 .

[5]  Genichii Taguchi,et al.  Introduction to quality engineering. designing quality into products a , 1986 .

[6]  Herbert Moskowitz,et al.  Application of fuzzy theories to multiple objective decision making in system design , 1991 .

[7]  Denis Gien,et al.  Towards a unified representation of quality in manufacturing systems , 1999, Int. J. Comput. Integr. Manuf..

[8]  Li Pheng Khoo,et al.  Framework of a fuzzy quality function deployment system , 1996 .

[9]  Witold Pedrycz,et al.  Evaluation of design alternatives in mechanical engineering , 1992 .

[10]  Frances M. Hill.  Total quality management and business process re-engineering: A study of incremental and radical approaches to change management at BTNI , 1999 .

[11]  Bojan Babić,et al.  Axiomatic design of flexible manufacturing systems , 1999 .

[12]  Satyandra K. Gupta,et al.  Integrating DFM with CAD through Design Critiquing , 1994 .

[13]  Erik K. Antonsson,et al.  Imprecision in Engineering Design , 1995 .

[14]  A. Wilkinson,et al.  The state of total quality management: a review , 1999 .

[15]  Gianni Caligiana.  Fuzzy logic in engineering applications , 1995 .

[16]  L. Zadeh.  Fuzzy sets as a basis for a theory of possibility , 1999 .

[17]  David A. Koonce.  Manufacturing systems engineering and design: An intelligent, multi-model, integration architecture , 1996 .