A Family Cars- Life Cycle Cost (LCC)-Oriented Hybrid Modelling Approach Combining ANN and CBR
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32769
A Family Cars- Life Cycle Cost (LCC)-Oriented Hybrid Modelling Approach Combining ANN and CBR

Authors: Xiaochuan Chen, Jianguo Yang, Beizhi Li

Abstract:

Design for cost (DFC) is a method that reduces life cycle cost (LCC) from the angle of designers. Multiple domain features mapping (MDFM) methodology was given in DFC. Using MDFM, we can use design features to estimate the LCC. From the angle of DFC, the design features of family cars were obtained, such as all dimensions, engine power and emission volume. At the conceptual design stage, cars- LCC were estimated using back propagation (BP) artificial neural networks (ANN) method and case-based reasoning (CBR). Hamming space was used to measure the similarity among cases in CBR method. Levenberg-Marquardt (LM) algorithm and genetic algorithm (GA) were used in ANN. The differences of LCC estimation model between CBR and artificial neural networks (ANN) were provided. ANN and CBR separately each method has its shortcomings. By combining ANN and CBR improved results accuracy was obtained. Firstly, using ANN selected some design features that affect LCC. Then using LCC estimation results of ANN could raise the accuracy of LCC estimation in CBR method. Thirdly, using ANN estimate LCC errors and correct errors in CBR-s estimation results if the accuracy is not enough accurate. Finally, economically family cars and sport utility vehicle (SUV) was given as LCC estimation cases using this hybrid approach combining ANN and CBR.

Keywords: case-based reasoning, life cycle cost (LCC), artificialneural networks (ANN), family cars

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1081191

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1904

References:


[1] Xiaochuan Chen, Jun Shao, Zhongxu Tian. Family cars- life cycle cost (LCC) estimation model based on the neural network ensemble, IFIP TC5 International Conference PROgraming LAnguages for MAchine Tools conference 2006(PROLAMAT 2006), June 15-17, 2006 Shanghai, China.pp.610-618.
[2] Chen Xiaochuan, Wang Zuoxiong , Wu Di, Shao Jun, Family cars- life cycle cost (LCC) estimation model based on CBR, Proceeding of International Technology & Innovation Conference 2006 (ITIC2006), Nov. 6-8, 2006,HangZhou, China, Paper Number:01150.
[3] Dean, E. B. and R. Unal. "Designing for Cost," Transactions of the American Association of Cost Engineers, 35th Annual Meeting, June 23-26, Seattle WA, pp D.4.1-D.4.6. (1991).
[4] Xiaochuan Chen, ZhangBao-bao, Feng Xin-an, "Key technology and conceptual model about design for cost(DFC)", Journal of Dalian University of Technology,39(6),pp. 775-780(1999). ( in Chinese)
[5] Chen Xiaochuan, Yang Jianguo, Li Beizhi, Feng Xin-an. "Methodology and technology of design for cost (DFC)", The 5th World Congress on Intelligent Control and Automation (WCICA'04), Hangzhou, China, June 14-18, pp. 3129-3134. (2004).
[6] Benjamin S. Blanchard. "Life cycle costing-A review", Terotechnica, 1, pp. 9-15(1979).
[7] Ruan Lian, Zhang Guodong. Engineering system planning and design. Beijing University of Aeronautics and Astronautics Press. (1991). ( in Chinese)
[8] Wai M. Cheung, Linda B. Newnes, Antony R. Mileham, Robert Marsh, John D. Lanham. "A Study of Life cycle costing in the Perspectives of Research and Commercial Applications in the 21ST Century", Proceedings of the ASME 2007 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2007),September 4-7, 2007, Las Vegas, Nevada, USA.
[9] Schank, R. C., & Abelson, R. P. Scripts, Plans, Goals and Understanding. New Jersey, USA: Erlbaum Hillsdale. (1977).
[10] Kolodner, J. "Case-Based Reasoning", Morgan Kaufmann Publishers, San Mateo, CA. (1993).
[11] Kolodner, JL. "An introduction to case-based reasoning". Artificial Intelligence Review, 6, pp. 3-34, (1992).
[12] Aamodt, A. and Plaza, E. "Case-based reasoning: foundational issues, methodological variations and system approaches", AI Communications, 7(1), pp. 39-59, (1994).
[13] R. Belecheanu, K.S. Pawar, R.J. Barson, B. Bredehorst and F. Weber. "The application of case based reasoning to decision support in new product development". Integrated Manufacturing Systems, 14(1), pp. 36-45, (2003).
[14] Yi-Kai Juan, Shen-Guan Shih, Yeng-Horng Perng. "Decision support for housing customization: A hybrid approach using case-based reasoning and genetic algorithm". Expert Systems with Applications, 31, pp. 83-93, (2006).
[15] X. Xu, J. L.-Q. Chen, and S. Q. Xie. "Framework of a Product Lifecycle Costing System", Journal of Computing and Information Science in Engineering, 6(1), pp. 69-77, (2006).
[16] Emilia Mendes, Nile Mosley, Steve Counsell. "The application of case-based reasoning to early web project cost estimation", 26th Annual International Computer Software and Applications Conference (COMPSAC 2002), Oxford, England, 26-29 August, pp. 393-398, (2002).
[17] Rehman Sumaira, Guenov Marin D. "A Methodology for modeling manufacturing costs at conceptual design", Computers & Industrial Engineering, 35(3-4), pp. 623-626, (1998).
[18] Seo Kwang-Kyu, Park Ji-Hyung, Jang Dong-Sik, Wallace David. "Prediction of the life cycle cost using statistical and artificial neural network methods in conceptual product design", International Journal of Computer Integrated Manufacturing, 15(6), pp. 541-554, (2002).
[19] Xiao-chuan Chen, Ming-lun Fang. "Application of artificial neural networks (ANN) and grey system theory ion life cycle cost (LCC) estimation", Proceedings of the 4th International Conference on Nonlinear Mechanics, Shanghai, China, August 13-16, pp. 1191-1198, (2002).
[20] Ogaji S.O.T., Singh R. "Neural network technique for gas turbine fault diagnosis", International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications, 10(4), pp. 209-214. (2002).
[21] K.-K. Seo, J.-H. Park, D.-S. Jang and D. Wallace, "Approximate Estimation of the Product Life cycle cost Using Artificial Neural Networks in Conceptual Design", Advanced Manufacturing Technology, 19, pp. 461-471. (2002).
[22] Pratt M. J., Wilson P. R., Requirements for support of form features in a solid modeling systems R-85-ASPP-01 CAM-I Inc
[R]. Arlington, Texas, USA, 1985.
[23] Chen Xiaochuan, Fang Minglun, Feng Xinan. Application of multiple domain feature mapping in Design For Cost(DFC), CE2002, Cranfield University, U.K. July, pp.27-31 (2002).
[24] Hu Shenghai. Mechanism system design. Harbin: Harbin Engineering University Press.1997. ( In Chinese)
[25] John Fenton, Advances in vehicle design, London: Professionall Engineering Publishing. 1999.
[26] Wangyu Wang, Automobile design (fourth edition), Beijing: China Machine Press.2004. ( In Chinese)
[27] R. C. Creese, L. T. Moore ,Cost modeling for concurrent engineering, Cost Engineering ,32(6),23-27(1990).