Fuzzy Approach to the Selection of Material Data in Concurrent Engineering Environment


The selection of proper materials for a structural component is critical in engineering design. Existing design procedures may currently be sufficient, especially where experience exists, but fierce industrial competition is spurring the search for improved methods and tools. The main drivers are quality, life-cycle cost, and time-to-market. Improved design efficiency and accuracy may have an enormous impact on the economic viability of the final product. The use of computer-aided systems can assist the designer in selecting the ap- propriate material these may potentially reduce product cost and time-to-market while assisting the concur- rent engineering activities, thereby resolving problems related to materials presented during the initial phase of design. This paper focuses on specific issues such as material selection at early design stage. In this paper material selection algorithm is developed using fuzzy logic technique for selection of proper material from database as per design engineers’ criteria. The information obtained from the selection algorithm is ex- changed through a properly secured web page through pure internet communication to different users in the enterprise so that it can create concurrent engineering environment throughout the product life cycle.

Share and Cite:

A. Balakrishna, G. Chandra, B. Gogulamudi and C. Someswararao, "Fuzzy Approach to the Selection of Material Data in Concurrent Engineering Environment," Engineering, Vol. 3 No. 9, 2011, pp. 921-927. doi: 10.4236/eng.2011.39113.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] S. M. A. Sapuan, “Concurrent Engineering Design System for Polymeric-Based Composite Automotive Compo- nents,” PhD Thesis, De Montfort University, Leicester, 1998.
[2] M. Pal-lot and V. Sandoval, “Concurrent Enterprise in the Era of the Internet and Electronic Commerce,” Kluwer Academic Pub-lishers, New York, 1998.
[3] B. Prasad, “Concurrent Engi-neering Fundamentals, Vo- lume II, Integrated Product and Process Organization,” Prentice Hall, New Jersey, 1996.
[4] Y.-E. Nahm and H. Ishikawa, “Integrated Product and Process Modeling for Collaborative Design Environment”, Concurrent Engineering: Research and Applications, Vol. 12, No. 1, March 2004, pp. 5-21
[5] M. Yoshioka, “Knowledge Intensive Engineering Frame- work: KIEF (formerly known as SYS- FUND) Manual,” The University of Tokyo, National Center for Science Information Systems, Tokyo, 2000.
[6] O. Tamine′ and R. Dillmann, “KaViDo—A Web-Based System for Collaborative Research and Development Processes,” Computers in Industry, Vol. 52, No. 1, 2003, pp. 29-45. doi:10.1016/S0166-3615(03)00067-8
[7] A. Balakrishna, R. S. Babu, D. N. Rao, et al., “Integration of CAD/CAM/CAE in Product Development System Us- ing STEP/XML,” Interna-tional Journal on Concurrent Engineering: Research and Ap-plication, Vol. 14, No. 2, 2006, pp. 121-128.
[8] P. J. White “Materials Selection: Is the Machine Really Smart Enough?” Proceedings of Society of Plastics Engi- neers Conference, Hartfort, 1995.
[9] S. M. Sapuan, “A Knowledge-Based Sys-tem for Materials Selection in Mechanical Engineering De-sign,” Materials and Design, Vol. 22, No. 8, 2001, pp. 687-695. doi:10.1016/S0261-3069(00)00108-4
[10] D.-H. Jee and K.-J. Kang, “A Method for Optimal Material selection Aided With Decision Making Theory,” Journal of Materials and Design, Vol. 21, No. 3, June 2000, pp. 199-206. doi:10.1016/S0261-3069(99)00066-7
[11] L. A. Zadeh, “Fuzzy Sets,” Information and Control, Vol. 8, No. 3, 1965, pp. 338-353. doi:10.1016/S0019-9958(65)90241-X
[12] R. Knosala and W. Pedrycz, “Evalution of Design Alternatives in Mechanical En-gineering,” Fuzzy Sets and Systems, Vol. 47, No. 3, 1992, pp. 269-280.
[13] D. Singer, “Fuzzy Algorithms for Planning the Mainte- Nance of large Systems with Insufficient Resources,” In- ternational Journal of Systems Science, Vol. 21, No. 11, 1990, pp. 2199-2208.
[14] H. Maeda and S. Murakami, “The use of a fuzzy Decision –Making Method in a Large Scale Computer System choice problem,” Fuzzy Sets and Systems, Vol. 54, No. 3, 1993, pp. 235-249. doi:10.1016/0165-0114(93)90369-S
[15] D. Cebon and M. F. Ashby, “Computer-Aided Materials Selection for Mechanical Design,” Metals and Materials, Vol. 8, No. 1, 1992, pp. 25-30.
[16] D. Cebon and M. F. Ashby, “Picking a Winner: Optimizing Materials Selection,” Mater World, Vol. 4, No. 11, 1996, pp. 646-648.
[17] P. Barnard, “Materials Database Save Time,” Material Database, News Issue 2, August 1996.
[18] T. W. Liao, “A Fuzzy Multicriteria Decision Making Method for Material Selection,” Journal Manufacturing Systems, Vol. 15, No. 1, 1996, pp. 1-12. doi:10.1016/0278-6125(96)84211-7

Copyright © 2023 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.