Journal of the Korean Society for Precision Engineering (한국정밀공학회지)

Korean Society for Precision Engineering (한국정밀공학회)
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A Methodology on Estimating the Product Life Cycle Cost using Artificial Neural Networks in the Conceptual Design Phase

개념 설계 단계에서 인공 신경망을 이용한 제품의 Life Cycle Cost평가 방법론

  • 서광규 (상명대학교 산업정보시스템공학과) ;
  • 박지형 (한국과학기술연구원 CAD/CAM연구센터)
  • Published : 2004.09.01
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Abstract

As over 70% of the total life cycle cost (LCC) of a product is committed at the early design stage, designers are in an important position to substantially reduce the LCC of the products they design by giving due to life cycle implications of their design decisions. During early design stages, there may be competing concepts with dramatic differences. In addition, the detailed information is scarce and decisions must be made quickly. Thus, both the overhead in developing parametric LCC models fur a wide range of concepts, and the lack of detailed information make the application of traditional LCC models impractical. A different approach is needed, because a traditional LCC method is to be incorporated in the very early design stages. This paper explores an approximate method for providing the preliminary LCC, Learning algorithms trained to use the known characteristics of existing products might allow the LCC of new products to be approximated quickly during the conceptual design phase without the overhead of defining new LCC models. Artificial neural networks are trained to generalize product attributes and LCC data from pre-existing LCC studies. Then the product designers query the trained artificial model with new high-level product attribute data to quickly obtain an LCC for a new product concept. Foundations fur the learning LCC approach are established, and then an application is provided.

Keywords

References

  1. Park, J.-H. and Seo, K.-K., 'Approximate Life Cycle Assessment of Classified Products Using Artificial Neural Network and Statistical Analysis in Conceptual Product Design,' Journal of the KSPE, Vol. 20, No. 3, pp. 207-213, 2003
  2. Gupta, Y. P., 'Life Cycle Cost Models and Associated Uncertainties,' In Electronics Systems Effectiveness and Life Cycle Costing, NATO ASI Series, F. J. K. Skwirzynski (ed.) (Berlin: Springer) pp. 535-549, 1983
  3. Greenwood, T. G. and Reeve, J. M., 'Activity-based Costing Management for Continuous Improvement: A Process Design Framework,' Cost Management, Winter, pp. 22-40, 1992
  4. Noble, J. S. and Tanchoco, J. M. A., 'Concurrent Design and Economic Justification in Developing a Product,' International Journal of Production Research, Vol. 28, No. 1, pp. 1225-1238, 1990 https://doi.org/10.1080/00207549008942789
  5. Oh, C. J. and Park, C. S., 'An Economic Evaluation Model for Product Design Decisions under Concurrent Engineering,' The Engineering Economist, Vol. 38, No. 4, pp. 275-296, 1993 https://doi.org/10.1080/00137919308903104
  6. Ong, N. S., 'Manufacturing Cost Estimation for PCB Assemble: An Activity-based Approach,' International Journal of Production Research, 38, pp. 159-172, 1995 https://doi.org/10.1016/0925-5273(94)00089-S
  7. Boothroyd, G. and Dewhurst, P., 'Design for Assembly Selecting the Right Method,' Machine Design, November 10, pp. 94-98, 1983
  8. Dewhurst, P., 'Computer-aided Assessment of Injection Moulding Cost: A Tool for DFA Analyses,' Report #24, Department of Mechanical Eng. University of Rhode Island
  9. Gershenson, J. and Ishii, K., 'Life Cycle for Serviceability,' In Concurrent Engineering: Automation, Tools, and Techniques, A. Kusiak (ed.) (New York: Wiley), pp. 363-384, 1993
  10. Navinchandra, D., 'ReStar: a Design Tool for Environmental Recovery Analysis,' International Conference on Engineering Design, IECD '93, The Hague, pp 17-19, August 1993
  11. Emblemsvag, J. and bras, B. A., 'Activity-Based Costing in Designing for Product Retirement,' Proceedings of ASME Design Technical Conference, DE-Vol. 69-2, pp. 351-362, 1994
  12. Bras, B. A. and Emblemsvag, J., 'Activity-based Costing and Uncertainty in Design for the Life Cycle,' In Design for X: Concurrent Engineering Imperative, G. Q. Huang (ed.) (London: Chapman &Hall), 1995
  13. Ulrich, K. and Eppinger, S., 'Product Design and Development, New York, NY: McGraw-Hill, Inc., 1995
  14. Alting, L., 'Life Cycle Design of Products: a New Opportunity for Manufacturing Enterprises,' In Concurrent Engineering: Automation, Tools, and Techniques, A. Kusiak (ed.) (New York: Wiley), pp. 1-17, 1993
  15. Bhamra, T. A., Evans, S., McAloone, T. C., Simon, M., Poole, S. and Sweatman, A., 'Integrating Environmental Decisions into the Product Development Process: Part 1 The Early Stages,' Proceedings of the First International Symposium on Environmentally Conscious Design and Inverse Manufacturing, Tokyo, Japan, pp.329-333, February 1999 https://doi.org/10.1109/ECODIM.1999.747633
  16. Hubka, V. and Eder, W. E., Engineering Design: General Procedural Model for Engineering Design. Zurich, Switzerland: Heurista, 1992
  17. Brezet, H. and Van Hemel, C., Ecodesign: A Promising Approach to Sustainable Production and Consumption. Paris, France: United Nations Environmental Program (UNEP) Industry and Environment, 1997
  18. Rombouts, J. P., 'LEADS-II, A Knowledge-based System for Ranking DfE-Options,' Proceedings of the IEEE International Symposium on Electronics and the Environment, pp.287-291, 1998 https://doi.org/10.1109/ISEE.1998.675073
  19. Sousa, I., Eisenhard, J. L. and Wallace, D., 'Approximate Life-Cycle Assessment of Product Concepts Using Learning Systems,' Journal of Industrial Ecology, Vol. 4, No. 4, pp. 61-81, 2002 https://doi.org/10.1162/10881980052541954
  20. Potts, A., Personal Communication, Principal Designer, Potts Design, Stoneham, MA, 2000
  21. ReVelle, J. B. and Moran, J. W., The QFD handbook, John Wiley & Sons, Inc., New York, 1998
  22. Haykin, S. and Simon, S., Neural Networks: A Comprehensive Foundation, Prentice Hall, 1998
  23. Creese, R. C. and Moore, L. T., 'Cost Modelling for Concurrent Engineering,' Cost Engineering, Vol. 32, No. 6, pp. 23-27, 1990