PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

The application of artificial intelligence in optimisation of automotive components for reuse

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: Automotive component reuse as one of the product recovery strategy is now gaining importance in view of its impact on the environment. Research and development on components design and manufacturing as well as tools and methods to facilitate reuse are under way in many countries. To enable reuse, components have to be assessed and its reliability and life time predicted. This paper presents the development work on an optimisation model for assessing potential automotive components for reuse using artificial intelligence approaches. Design/methodology/approach: As a part of the study, the paper currently focuses on initial study on ease of disassembly design. The model for predicting reliability and durability of reuse components is then developed using Artificial Neural Networks (ANNs) and further optimised for reliability and life cycle cost using Genetic Algorithm (GA). Findings: The proposed model will enable the local automotive industry to effectively assess potential components for reuse in support of further design and manufacturing improvements. Research limitations/implications: This study hopes to contribute to design for reuse by assessing high potential and reliable reuse components at the lowest costs. Originality/value: Artificial intelligence methods, such as artificial neural networks (ANNs) and genetic algorithm (GA), can be applied to solve problem as they can provide satisfactory and acceptable solutions for many complex problems.
Rocznik
Strony
595--601
Opis fizyczny
Bibliogr. 20 poz., wykr., il.
Twórcy
autor
autor
autor
autor
  • Department of Mechanical and Materials Engineering, Faculty of Engineering, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia, dzuraida@eng.ukm.my
Bibliografia
  • [1] A. Gungor, M. Gupta, Issues in Environmentally Conscious Manufacturing and Product Recovery: A Survey, Computers and Industrial Engineering 36 (1999) 811-853.
  • [2] J. Gerrard, M. Kandlikar, Is Euopean End of Life Vehicle Legislation Living Up to Expectation?, Assessing the Impact of the ELV Directive on „Green” Innovation and Vehicle Recovery, Journal of Cleaner Production 15 (2007) 17-27.
  • [3] Malaysian Automotive Association, Summary of Sales and Production Data (http://www.maa.org.my/info_summary.htm).
  • [4] M. I. Mazhar, S. Kara, H. Kaebernick, Remaining Life Estimation of Used Components in Consumer Product: Life Cycle Data Analysis by Weibull and Artificial Neural Network, Journal of Operation Management 25 (2007) 1184-1193.
  • [5] S. Kara, M. Mazhar, H. Kaebernick, A. Ahmed, Determining the Reuse Potential Component Based on Life Cycle Data, Annals of CIRP 54/1 (2005) 1-4.
  • [6] F. Kimura, S. Kato, T. Hata, T. Masuda, Product Modularization for Parts Reuse in Inverse Manufacturing, Annals of the CIRP 50/1 (2001) 89-92.
  • [7] S. Takata, T. Kimura, Life Cycle Simulation System for Life Cycle Process Planning, Annals of CIRP 52/1 (2003) 37-40.
  • [8] Y. Uemeda, S. Kondoh, T. Sugino, Analysis of Reusability Using Marginal Reuse Rate, Annals of CIRP 55/1 (2006) 41-44.
  • [9] J. Ko, S. J. Hu, T. Huang, Reusability Assessment for Manufacturing Systems, Annals of CIRP 54/1 (2005) 113-116.
  • [10] S. G. Koh, H. Hwang, K. I. Sohn, C. S. Ko, An Optimal Ordering and Recovery Policy for Reusable Items, Computers and Industrial Engineering 43 (2002) 59-73.
  • [11] M. Simon, G. Bee, P. Moore, J. S. Pu, C. Xie, Modelling of the Life Cycle of Products with Data Acquisition features, Computers in Industry 45 (2001) 112-122.
  • [12] M. Negnevitsky, Artificial Intelligence: A Guide to Intelligent Systems, Addison Wesley, Harlow, 2002.
  • [13] F. Giudice, G. La Rosa, A. Risitino, Product Design for the Environment, CRC Press, Boca Raton, 2006.
  • [14] L. H. Shu, Reliability modeling in design for remanufacture, Proceedings of the 1996 ASME Design Technical Conferences and Computers in Engineering Conference, Irvine CA, 1996, 1-11.
  • [15] M. Rausand, A. Hoyland, System Reliability Theory: Models, Statistical Methods and Applications, John Wiley & Sons, New Jersey, 2004.
  • [16] Y. Ogushi, M. Kandlikar, The Impact of End-Of Life Vehicle Recycling Law on Automobile Recovery in Japan, Proceedings of the 4th International Environmentally Conscious Design and Inverse Manufacturing Symposium, Tokyo, 2005, 626-633.
  • [17] T. Amezquita, R. Hammond, M. Salazar, B. Bras, Characterizing the Remanufacturability of Engineering Systems, Proceedings of the 21st ASME Design Automation Conference, Advances in Design Automation, Boston 1995, 271-278.
  • [18] S. Lolas, O. A. Olatunbosun, Prediction of Vehicle Reliability Performance using Artificial Neural Networks, Expert System with Applications 34/4 (2008) 2360-2369.
  • [19] N. H. Ismail, S. Z. Syed Jaafar, FE Analysis of Door Structure in Meeting Customer's Quality Expectation, Proceedings of the CAE Users Conference, Bangalore, 2006 1-12.
  • [20] M. Gen, R. Cheng, Genetic Algorithms and Engineering Design, John Wiley & Sons, New York, 1997.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWAN-0004-0015
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.