Concurrent Decisions on Design Concept and Material Using Analytical Hierarchy Process at the Conceptual Design Stage

Abstract

There is an increased study for considering the precise decisions on the design concept (DC) and material concurrently at the early stage of development of product. Inappropriate decisions on DC and material always lead to huge cost involvement and ultimately drive toward premature component or product failure. To overcome this problem, concurrent engineering (CE) is an approach which allows designers to consider early decision making (EDM) need to be implemented. To illustrate the use of CE principle at the early stage of design process, a concept selection framework called concurrent DC selection and materials selection (CDCSMS) was proposed. In order to demonstrate the proposed CDCSMS framework, eight DC s and six different types of composite materials of automotive bumper beam have been considered. Both of these decisions were then verified by performing various scenarios of sensitivity analysis by using analytical hierarchy process through utilizing Expert Choice software.

Keywords

concurrent engineering analytical hierarchy process early decision making.

Get full access to this article

View all access options for this article.

References

Prasad, B. ( 1996). Concurrent Engineering Fundamentals: Integrated Product and Process Organization, Michigan Prentice Hall.

Chakrabarti, A. and Bligh, T.P. (1994). An Approach to Functional Synthesis of Solutions in Mechanical Conceptual Design. Part I: Introduction and Knowledge Representation, Research in Engineering Design , 16(3): 127-141.

Fung, R.Y.K. , Chen, Y. and Tang. J. (2007). A Quality-Engineering-Based Approach for Conceptual Product Design, International, Journal of Advanced Manufacturing Technolology, 32(11): 1064-1073.

Lin, Y.J. , Huang, C.W. , Tseng, J.C. and Shiau, J.Y. ( 2004). Issue Resolution for Conceptual Design Using AHP, In: Proceedings of the SPIE-Volume 5605, Intelligent Systems in Design and Manufacturing, Philadelphia, PA, 25-26 October, pp. 47-53.

Edwards, K.L. (2007). Supporting Design Decision-Making when Applying Materials in Combination, Materials and design , 28: 1288-1297.

Lu, W.F. and Deng, Y.M. (2004). A System Modelling Methodology for Materials and Engineering Systems Design Integration, Materials and Design, 25: 459-469.

Edwards, K.L. and Deng, Y.M. (2007). Supporting Design Decision-Making When Applying Materials in Combination, Materials and Design , 28(4): 1288-1297.

Ljungberg, L.Y. and Edwards, K.L. (2003). Design, Materials Selection and Marketing of Successful Products, Materials and Design , 24: 519-529.

Sapuan, S.M. (2001). A Knowledge-Based System for Materials Selection in Mechanical Engineering Design, Materials and Design, 22: 687-695.

10.

Ashby, M. , Shercliff, H. and Cebon, D. ( 2007). Materials Engineering, Science Processing and Design , London: Butterworth-Heinemann .

11.

Forman, E.H. , Saaty, T.L. , Selly, M.A. and Waldron, R. ( 2000). Expert Choice 1982-2000, McLean, VA , Pittsburgh, USA: Decision Support Software Inc.

12.

Okudan, G.E. and Tauhid, S. (2008). Concept Selection Methods - A Literature Review from 1980 to 2008, International Journal of Design Engineering, 1(3): 243-277.

13.

Hambali, A. , Sapuan, S.M. , Ismail N. and Nukman, Y. (2009). The Important Role of Concurrent Engineering in Product Development Process, Pertanika Journals of Science and Technology, 17(1): 9-20.

14.

Bhushan, N. and Rai, K. ( 2004). Strategic Decision Making Applying the Analytic Hierarchy Process, New York: Springer.

15.

Ho, W. ( 2008). Integrated Analytic Hierarchy Process and Its Applications- A Literature Review, European Journal of Operation Research , 186(1): 211-228.

16.

Saaty, T.L. and Vargas, L.G. ( 2001). Models, Methods, Concepts & Applications of the Analytical Hierarchy Process, Boston: Kluwer Academic Publishers.

17.

Chen, C.F. ( 2006). Applying the Analytical Hierarchy Process (AHP) Approach to Convention Site Selection, Journal of Travelling Research , 45(2): 167-174.

18.

Huan, S.M. , Sheoran, S.K. and Wang, G. ( 2004). A Review and Analysis of Supply Chain Operations Reference (SOR) Model, Supply chain management: An International Journal , 9(1): 23-29.

19.

Partovi, F.Y. (1994). Determining What to Benchmark: An Analytic Hierarchy Process Approach, International Journal of Operations and Production Management, 14: 25-39.

20.

Bevilacqua, M. , D’Amore, A. and Polonara, F. (2004). A Multi-Criteria Decision Approach to Choosing the Optimal Blanching-Freezing System, Journal of Food Engineering, 63(3): 253-263.

21.

Pugh, S. ( 1991). Total Design: Integrated Methods for Successful Product Engineering, Wokingham: Addison Wesley Limited.

22.

Bernert, W. , Bulych, S. , Cran J. , Egle, D. , Henseleit, K. , Hersberger, T. , Kantner, C. , Koch, M. , Kudelko, C. , Mihelich, M. , Mohan, R. , Stokfisz, S. , Tang, M. , Vikstrom, T. , Welte, E. and Zabik, B. (2006). American Iron and Steel Institute: Steel Bumper Systems for Passenger Cars and Light Trucks, Revision number three, June 30, 2006. Available at: http://www.bumper.autosteel.org (accessed February 6, 2008).