Development of a fuzzy decision model for manufacturability evaluation

A manufacturability evaluation decision model is formulated and analyzed based on fuzzy logic and multiple attribute decision-making under the concurrent engineering environment. The study emphasizes on the treatment of the linguistic and vagueness at the early product development stage. The study also considers the function integration of the total life cycle of a product. Hence, the integrated decision model covers the multi-level, multi-goal requirements of the products. Multiple criteria such as the goal space, the decision space, the function space, the development (i.e., product & process design) space, and the activity space, are then applied under different analysis of decision-making methods. For instances, the fuzzy multiple attribute decision-making (FMADM) combined with activity-based costing (ABC) can be used in the activity decision space. The fuzzy logic decision model can be applied in the goal decision space. The results of this study point out the importance of early decision making capability. An example of a high-pressure vessel is provided to demonstrate the proposed model for evaluating the manufacturability.

[1]  T. Liao,et al.  A fuzzy multicriteria decision-making method for material selection , 1996 .

[2]  T. Warren Liao,et al.  Laser threat recognition based on fuzzy set theory , 1994 .

[3]  Miao-Ling Wang,et al.  A fuzzy multiobjective linear programming , 1997, Fuzzy Sets Syst..

[4]  Chin-Teng Lin,et al.  Neural fuzzy systems , 1994 .

[5]  Mao-Jiun J. Wang,et al.  Tool steel materials selection under fuzzy environment , 1995 .

[6]  A. Sharon The biggest bottlenecks in concurrent engineering , 1992, Manufacturing in the Era of Concurrent Engineering.

[7]  Mao-Jiun J. Wang,et al.  A fuzzy multi-criteria decision-making method for facility site selection , 1991 .

[8]  Richard Bellman,et al.  Decision-making in fuzzy environment , 2012 .

[9]  Li-Xin Wang,et al.  Adaptive fuzzy systems and control , 1994 .

[10]  L. C. Shih,et al.  A concurrent engineering methodology using analogies to Just-In-Time concepts , 1995 .

[11]  Chung Yee Lee,et al.  Strategic investment analysis using activity based costing concepts and analytical hierarchy process techniques , 1996 .

[12]  J. Buckley,et al.  Fuzzy hierarchical analysis , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[13]  Pui Mun Lee Incorporating concurrent engineering and design economics in a decision support system , 1993 .

[14]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[15]  Shyi-Ming Chen,et al.  Evaluating weapon systems using fuzzy arithmetic operations , 1996, Fuzzy Sets Syst..

[16]  Vladislav Rajkovic,et al.  Multiattribute Decisionmaking Using a Fuzzy Heuristic Approach , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[17]  George J. Klir,et al.  Fuzzy sets, uncertainty and information , 1988 .

[18]  D. Dubois,et al.  Weighted fuzzy pattern matching , 1988 .

[19]  Huibert Kwakernaak,et al.  Rating and ranking of multiple-aspect alternatives using fuzzy sets , 1976, Autom..

[20]  E. Cox Adaptive fuzzy systems , 1993, IEEE Spectrum.

[21]  L. Zadeh,et al.  An Introduction to Fuzzy Logic Applications in Intelligent Systems , 1992 .

[22]  H. Zimmermann,et al.  Fuzzy Set Theory and Its Applications , 1993 .

[23]  Rita Almeida Ribeiro Fuzzy multiple attribute decision making: A review and new preference elicitation techniques , 1996, Fuzzy Sets Syst..

[24]  Bernard C. Jiang,et al.  Fuzzy neural network modeling for product development , 1999 .