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Economic Analysis of Rapid Prototyping Systems

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Rapid Prototyping

Part of the book series: Manufacturing Systems Engineering Series ((MSES,volume 6))

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Abstract

Considering the large sums of money required to implement advanced manufacturing technologies (AMT), management must carry out appropriate evaluations and then make critical decisions. Traditional justification methods are insufficient by themselves because they cannot cope with benefits, such as flexibility and enhanced quality, offered by AMT. Selection and justification processes for AMT involve complex problems and require extensive analysis of a large number of criteria. An appropriate decision-making procedure for justification of AMT requires consideration of both economic and non-economic investments. An analytical model is presented for the selection of a rapid prototyping (RP) system from a set of mutually exclusive decision alternatives. The proposed model is based on the analytic hierarchy process (AHP) along with the Expert Choice software and it provides the means for integrating economic with non-economic benefits. A numerical example illustrates an application of the proposed model.

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References

  1. V. P. Agrawal, V. Kohli, and S. Gupta, Computer aided robot selection: the multiple attribute decision making approach, International J. Production Research, 29, 1629–1644 (1991).

    Google Scholar 

  2. V. P. Agrawal, A. Verma, and S. Agrawal, Computer aided evaluation and selection of optimum grippers, International J. Production Research, 30, 2713–2732 (1992).

    Google Scholar 

  3. A. Arbel and A. Seidmann, Performance evaluation of FMS, IIE Transactions on Systems, Man, and Cybernetics, 14, 606–617 (1984).

    Google Scholar 

  4. J. F. Bard, A comparison of the analytic hierarchy process with multiattribute utility: the case study, IIE Transactions, 24, 111–121 (1992).

    Google Scholar 

  5. V. Belton, A comparison of the analytic hierarchy process and a simple multi-attribute function, European J. of Operational Research, 26, 7–21 (1986).

    Article  MathSciNet  Google Scholar 

  6. J. R. Canada and W. Sullivan, Economic and Multi-attributes Evaluation of Advanced Manufacturing Systems (Prentice Hall, Englewood Cliffs, NJ, 1989).

    Google Scholar 

  7. S. De and A. B. Whinston, A framework for integrated problem solving in manufacturing, IIE Transactions on Industrial Engineering, 18, 286–297 (1986).

    Google Scholar 

  8. B. V. Dean, Evaluating, Selecting and Controlling R&D Projects (American Management Association, New York, 1968).

    Google Scholar 

  9. R. F. Dyer, and E. H. Forman, An Analytic Approach to Marketing Decisions (Prentice Hall, Englewood Cliffs, NJ. 1991).

    Google Scholar 

  10. R. F. Dyer and E. H. Forman, Group decision support with the analytic hierarchy process, Decision Support Systems, 8, 99–124 (1992).

    Article  Google Scholar 

  11. E. H. Forman, T. L. Saaty, M. A. Selly, and R. Waldron, Decision Support Software Expert Choice Inc. (Mclean, VA, 1983).

    Google Scholar 

  12. E. H. Forman, T. L. Saaty, A. Shvartsmsan, M. R. Forman, M. Korpics, J. Zottola, and M. A. Selly, Expert Choice: Advanced Decision Support Software, (Expert Choice, Inc., Pittsburgh PA, 2002)

    Google Scholar 

  13. R. J. Fotsch, Machine tool justification policies: their effect on productivity and profitability, J Manufacturing Systems, 2, 169–195 (1983).

    Google Scholar 

  14. K. M. Gad El Mola, A methodology to measure the performance of manufacturing systems, Ph.D. Dissertation, University of Houston, Houston, TX (2004).

    Google Scholar 

  15. S. E. Garett, Strategy first: a case in FMS justification. Proceedings of 2nd ORSA/TIMS Conference on FMS: OR models and applications, Edited by K. E. Steck, and R Suri, Elsevier Science Publishers, Amsterdam, pp. 17–29 (1986).

    Google Scholar 

  16. C. L. Hwang and K. S. Yoon, Multiple Attribute Decision Making: A State-of-the-Art Survet (Springer-Verlag, New York, 1982).

    Google Scholar 

  17. M. Hudson, A. Smart, and M. Bourne, Theory and practice in SME performance measurement systems, International J. Operations & Production Management, 21, 1096–1115 (2001).

    Article  Google Scholar 

  18. R. D. Kamenentzky, The relationship between the AHP and the additive value fur, Decision Science, 13, 702–713 (1982).

    Google Scholar 

  19. R. S. Kaplan and D. P. Norton, The balanced scorecard — measures that drive performance, Harvard Business Review, 70, 71–79 (1992).

    Google Scholar 

  20. P. G. Keen, Value Analysis: Justifying Decision Support Systems, MIS Quarterly, March 5 (1981).

    Google Scholar 

  21. H. T. Klahorst, How to Justify Multi-Machine System, in: Machinist, edited by J. R. Meredith, 1983.

    Google Scholar 

  22. G. K. Leong, D. L. Snyder, and P. T. Ward, Research in the process and content of manufacturing strategy, OMEGA International Journal of Management Science, 18, 109–122 (1990).

    Article  Google Scholar 

  23. C. N. Madu and N. C. Georgantzas, Strategic thrust of manufacturing automation decisions: a conceptual framework, IEE Transactions on Industrial Engineering, 23, 138–148 (1991).

    Google Scholar 

  24. J. R. Meredith and N. C. Suresh, Justification techniques for advanced manufacturing technologies, International J. Operations Research, 24, 1043–1057 (1986).

    Google Scholar 

  25. G. J. Michael and R. A. Millen, Economic justification of modern computer-based factory automation equipment, Annals Operations Research, 3, 25–34 (1985).

    Google Scholar 

  26. G. J. Miltenburg and I. Krinsky, Evaluating flexible manufacturing systems, IIE Transactions, 19, 222–233 (1987).

    Google Scholar 

  27. N. Mladineo, I. Lozie, S. Stosie, D. Mlinare, and T. Radiea, An evaluation of multicriteria analysis for DSS in public policy decision, European J Operational Research, 61, 219–229 (1992).

    Article  Google Scholar 

  28. R. P. Mohanty, Analysis of justification problems in CIMS: review and projections, International J Production Planning and Control, 4, 260–271 (1993).

    Google Scholar 

  29. R. P. Mohanty and S. Venkatraman, Use of analytic hierarchy process for selecting automated manufacturing systems, International J Operations and Production Management,. 13, 45–57 (1993).

    Google Scholar 

  30. B. Naik and A. K. Chakravarty, Strategic acquisition of new manufacturing technology: a review and research framework, International J Production Research, 30, 1575–1601 (1992).

    Google Scholar 

  31. C. A. Nelson, A scoring model for flexible manufacturing systems project selection, European J Operational Research, 24, 346–359 (1986).

    Article  Google Scholar 

  32. M. Philbin, Rapid Prototyping: A Young Technology Evolves, Modern Casting 1996.

    Google Scholar 

  33. R. H. Pike and S. M. M. Ho, Risk analysis in capital budgeting: barriers and benefits, Omega, International J Management Science, 19, 235–245 (1991).

    Google Scholar 

  34. P. L. Primrose and R. Leonard, The development and application of a computer based appraisal technique for the structural evaluation of machine tool purchases, Proceedings of Institution of Mechanical Engineers, 198B, 141–146 (1984).

    Google Scholar 

  35. R. V. Ramasesh and M. D. Jayakumar, Economic justification of advanced manufacturing technology, OMEGA, International J Management Science, 21, 289–306 (1993).

    Article  Google Scholar 

  36. O. B. Rygh, Justifying an automated storage and retrieval system, Industrial Engineering, July, 20–24 (1981).

    Google Scholar 

  37. T. L. Saaty, The Analytical Hierarchy Process (McGraw Hill, New York, 1980).

    Google Scholar 

  38. T. L. Saaty, Decision Making for Leaders: The Analytical Hierarchy Process for Decisions in a Complex World, (RWS Publications, Pittsburgh, PA, 1990).

    Google Scholar 

  39. K. V. Sambasivarao and S. G. Deshmukh, A decision support system for selection and justification of advanced manufacturing technologies, Production Planning and Control, 8, 270–284 (1997).

    Article  Google Scholar 

  40. J. H. Schoemaker, and C. C. Waid, An experimental comparison of different approaches to determining weights in additive utility models, Management Science, 28, 182–196 (1982).

    Google Scholar 

  41. J. Shang and T. Sueyoshi, A unified framework for the selection of a flexible manufacturing system European J Operational Research, 85, 297–315 (1995).

    Article  MATH  Google Scholar 

  42. K. Singhal, C. H. Fine, J. R. Meredith, and R. Suri, Research and models for automated manufacturing, Interfaces, 17, 5–14 (1987).

    Google Scholar 

  43. J. J. Sloggy, How to justify the cost of an FMS, Tooling and Production, 50, 72–75 (1984).

    Google Scholar 

  44. V. Sprinivasan and R. A. Millen, Evaluating flexible manufacturing systems as a strategic investment, Proceedings of 2nd ORSA/TIMS Conference on FMS: OR models and application, Edited by K. E. Steck, R. Suri Elsevier Science Publishers, Amsterdam, pp. 83–93 (1986).

    Google Scholar 

  45. A. Stam and M. Kuula, Selecting a flexible manufacturing system using multiple criteria analysis, International J Production Research, 29, 803–820 (1991).

    Google Scholar 

  46. N. C. Suresh, Towards an integrated evaluation of flexible automation investments, International J Production Research, 28, 1657–1672 (1990).

    Google Scholar 

  47. E. Turban and J. R. Meredith, Fundamentals of management science (Business Publications, Inc., Piano, Texas, 1985).

    Google Scholar 

  48. E. G. Zapatero, C. H. Smith, and H. R. Weistroffer, Evaluating multiple-attribute decision support systems, J Multi-Criteria Decision Analysis, 6, 201–214 (1997).

    Article  MATH  Google Scholar 

  49. R. N. Wabalickis, Justification of FMS with analytic hierarchy process, J Manufacturing Systems, 7, 175–182 (1988).

    Article  Google Scholar 

  50. G. P. White, A survey and taxonomy strategy-related performance measures for manufacturing, International Journal of Operations & Production Management, 16, 42–61 (1996).

    Google Scholar 

  51. M. Wozny, Data Driven Solid Freeform Fabrication, Human Aspects in Computer Integrated Manufacturing (North-Holland, New York, 1992).

    Google Scholar 

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Gad El Mola, K.M., Parsaei, H.R., Leep, H.R. (2006). Economic Analysis of Rapid Prototyping Systems. In: Kamrani, A., Nasr, E.A. (eds) Rapid Prototyping. Manufacturing Systems Engineering Series, vol 6. Springer, Boston, MA. https://doi.org/10.1007/0-387-23291-5_12

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  • DOI: https://doi.org/10.1007/0-387-23291-5_12

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-23290-4

  • Online ISBN: 978-0-387-23291-1

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