Performance evaluation of leading fabless integrated circuit design houses by using a multiple objective programming based data envelopment analysis approach

International Journal of Innovative Computing, Information and Control

Volumn 8, Issue 8, 2012, Pages 5899-5916

  Huang, Chi Yo ^a   Tzeng, Gwo Hshiung ^b   Chen, Yun Ting ^a   Chen, Hueiling ^a  

^a NATIONAL TAIWAN NORMAL UNIVERSITY   (Taiwan)

^b KAINAN UNIVERSITY   (Taiwan)

Author keywords

Data envelopment analysis (DEA); Fabless IC design house; Multiple objectives programming efficiency achievement measure (MOP EAM); Semiconductor industry

Indexed keywords

DECISION-MAKING UNITS; FABLESS; GEOGRAPHIC AREAS; IC DESIGN HOUSE; IC DESIGNS; INTEGRATED CIRCUIT DESIGNS; MULTIPLE OBJECTIVE PROGRAMMING; MULTIPLE OBJECTIVES; PERFORMANCE EVALUATION; SEMICONDUCTOR FOUNDRIES; SEMICONDUCTOR INDUSTRY; TOTAL REVENUE;

COMMERCE; DATA ENVELOPMENT ANALYSIS; DESIGN; EFFICIENCY; RESEARCH; SEMICONDUCTOR DEVICE MANUFACTURE;

HOUSES;

EID: 84866050954     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (59)

1. V. Venkatraman and V. Ramanujam, Measurement of business performance in strategy research: A comparison of approaches, Academy of Management Review, vol.11, pp.801-814, 1986.
2. M. J. Farrell, The measurement of productive efficiency, Journal of the Royal Statistical Society, vol.120, pp.253-291, 1957.
3. M. E. Porter, What is strategy, Harvard Business Review, vol.74, pp.61-78, 1996.
4. M. E. Porter and V. E. Millar, How information gives you competitive advantage: The information revolution is transforming, Harvard Business Review, vol.63, pp.149-160, 1985.
5. P. Ghemawat, Refefining Global Strategy, Harvard Business School Press, Boston, MA, 2007.
6. Y.-G. L. Huang, Using mathematical programming to assess the relative performance of the health care industry, Journal of Medical Systems, vol.13, pp.155-162, 1989.
7. P. W. Beamish, Joint ventures in LCD: Partner selection andperformance, Management International Review, vol.34, pp.60-74, 1994.
8. M. Sakawa and H. Yano, Interactive decision making for multi-objective linear fractional programming problems with parameters, Cybernetics and Systems: An International Journal, vol.16, pp.377-394, 1985.
9. M. Sakawa and T. Yumine, Interactive fuzzy decision-making for multi-objective linear fractional programming problems, Large Scale Systems, vol.5, pp.105-114, 1983.
10. T. L. Saaty, The Analytic Hierarchy Process, McGraw-Hill, New York, 1971.
11. W. W. Cooper, L. M. Seiford and K. Tone, Data Envelopment Analysis: A Comprehensive Text with Models, Applications, Reference and DEA-Solver Software, 2nd Edition, Springer Science, New York, NY, 2007.
12. T. Yang and C. Kao, A hierarchical AHP/DEA methodology for the facilities layout design problem, European Journal of Operational Research, vol.147, pp.128-136, 2003.
13. Z. Sinuany-Stern, Z. Mehre and Y. Hadad, An AHP/DEA methodology for ranking decision making units, International Transactions in Operational Research, vol.7, pp.109-124, 2000.
14. A. Charnes, W. W. Cooper and E. Rhodes, Measuring the efficiency of decision making units, European Journal of Operational Research, vol.2, pp.429-444, 1978.
15. R. D. Banker, A. Charnes and W. W. Cooper, Some models for estimating technical and scale inefficiencies in data envelopment analysis, Management Science, vol.30, pp.1078-1092, 1984.
16. J. T. Macher, D. C. Mowery and T. S. Simcoe, E-business and disintegration of the semiconductor industry value chain, Industry and Innovation, vol.9, pp.155-181, 2002.
17. B. McClean, B. Matas and T. Yancey, The McClean Report, 2011 Edition, IC Insights, Scottsdale, AZ, 2011.
18. W. M. Lu and S. W. Hung, Evaluating profitability and marketability of Taiwane's IC fabless firms: A DEA approach, Journal of Scientific & Industrial Research, vol.69, pp.851-857, 2009.
19. M. T. Chu, J. Z. Shyu and R. Khosla, Measuring the relative performance for leading fabless firms by using data envelopment analysis, Journal of Intelligent Manufacturing, vol.19, pp.257-272, 2008.
20. R. Fare, S. Grosskopf, B. Lindgren and P. Roos, Productivity developments in Swedish hospitals: A Malmquist output index approach, in Data Envelopment Analysis, A. Charnes, W. Cooper, A. Y. Lewin, L. M. Seidorf (eds.), Kluwer Academic Publishers, 1994.
21. R. S. Fare and W. Hunsaker, Notions of efficiency and their reference sets, Management Science, vol.32, pp.237-243, 1986.
22. C. I. Chiang and G. H. Tzeng, A multiple objective programming approach to data envelopment analysis, in New Frontiers of Decision Making for the Information Technology Era, Y. Shi and M. Zeleny (eds.), Singapore, World Science Publishing Company, 2000.
23. C. Kao, H. T. Hung and T. Sueyoshi, Management Performance Evaluation: Data Envelopment Analysis, Hwatai, Taipei, 2003.
24. G. Speckbacher, The economics of performance management of nonprofit organizations, Nonprofit Management and Leadership, vol.13, pp.267-281, 2003.
25. M. Epstein and M. J. Roy, Managing corporate environmental performance: A multinational perspective, European Management Journal, vol.16, pp.284-296, 1998.
26. I. M. Mintzer, Confronting Climate Change: Risks, Implications, and Responses, Cambridge University Press, Cambridge, UK, 1992.
27. J. S. T. Quah, Productivity in the Singapore police force: Some suggestions for improvement, Asian Journal of Public Administration, vol.6, pp.2-17, 1984.
28. C. Y. Wu, Refining concepts of performance in development effectiveness, profitability and productivity, Philippine Journal of Public Administration, vol.17, pp.288-289, 1973.
29. S. Tangen, An overview of frequently used performance measures, Work Study, vol.52, pp.347-354, 2003.
30. T. Coelli, D. S. Prasada Rao, C. J. O'Donnell and G. E. Battese, An Introduction to Efficiency and Productivity Analysis, 2nd Edition, Springer, New York, NY, 2005.
31. D. J. Sumanth, Productivity Engineering and Management, McGraw-Hill, New York, NY, 1994.
32. S. Tangen, Demystifying productivity and performance, International Journal of Productivity and Performance Management, vol.54, pp.34-46, 2005.
33. E. Nagel, Measurement, Erkenntnis, vol.2, pp.313-335, 1931.
34. S. S. Stevens, On the theory of scales and measurement, Science, vol.103, pp.677-680, 1946.
35. S. Sink and T. Tuttle, Planning and Measurement in Your Organization of the Future, Industrial Engineering and Management Press, Norcross, GA, 1989.
36. S. Tangen, Performance measurement: From philosophy to practice, International Journal of Productivity and Performance Management, vol.53, pp.726-737, 2004.
37. M. E. Mundel, Improving Productivity and Effectiveness, Prentice-Hall, NJ, 1983.
38. M. G. Brown and R. A. Svenson, Measuring R&D productivity, Research Technology Management, vol.41, pp.30-35, 1998.
39. A. Emrouznejad, Data Envelopment Analysis Homepage, www.DEAzone.com, 1995.
40. J. H. Wu and B. J. Ho, Organization Efficiency and Productivity Assessment: Data Envelopment Analysis, FCMC, Taipei, 2008.
41. A. Neely, M. Gregory and K. Platts, Performance measurement system design: A literature review and research agenda, International Journal of Operations & Production Management, vol.15, pp.80-116, 1995.
42. J. Xu, B. Li and D. Wu, Rough data envelopment analysis and its application to supply chain performance evaluation, International Journal of Production Economics, vol.122, pp.628-638, 2009.
43. W. P. Wong and K. Y. Wong, A review on benchmarking of supply chain performance measures, Benchmarking: An International Journal, vol.15, pp.25-51, 2008.
44. N. Dalkey and O. Helmer, An experimental application of the Delphi method to the use of experts, Management Science, vol.9, pp.458-467, 1963.
45. J. W. Murry and J. O. Hammous, Delphi: A versatile methodology for conducting qualitative research, The Review of Higher Education, vol.18, pp.423-436, 1995.
46. W. C. Sung, Application of Delphi method, a qualitative and quantitative analysis, to the healthcare management, Journal of Healthcare Management, vol.2, pp.11-19, 2001.
47. Y. S. Lee, J. C. Huang and Y. S. Hsu, Using modiéd Delphi method to explore the competition strategy for software companies of Taiwan, Journal of Informatics & Electronics, vol.13, pp.39-50, 2008.
48. J. Jones and D. Hunter, Qualitative research: Consensus methods for medical and health services research, British Medical Journal, vol.311, pp.376-380, 1995.
49. H. A. Linstone and M. Turoff, The Delphi Method: Techniques and Applications, Addison-Wesley, MA, 1975.
50. N. C. Dalkey, The Delphi method: An experimental application of group opinion, in Studies in the Quality of Life, N. C. Dalkey et al. (eds.), MA, Lexington Books, 1972.
51. R. C. Judd, Forecasting to consensus gathering: Delphi grows up to college needs, College and University Business, vol.53, pp.35-38, 1972.
52. K. W. Brooks, Delphi technique: Expanding applications, North Central Association Quarterly, vol.54, pp.377-385, 1979.
53. H. Ohta and T. Yamaguchi, Multi-goal programming including fractional goal in consideration of fuzzy solutions, Journal of Japan Society for Fuzzy Theory and System, vol.7, pp.1221-1228, 1995.
54. H. J. Zimmermann, Fuzzy programming and linear programming with several objective functions, Fuzzy Sets and Systems, vol.1, pp.45-55, 1978.
55. J. S. Hurtarte, E. A. Wolsheimer and L. M. Tafoya, Understanding Fabless IC Technology, Elsevier, MA, 2007.
56. GSA, Top 10 Fabless Companies by CY 2008 Revenue, https://www.fsa.org/resources/industrydata/facts.asp, 2010.
57. Wealth, IC Design Industry Layout, Wealth, Taipei City, 2007.
58. GSA, GSA Fabless Facts, https://www.fsa.org/resources/industrydata/facts.asp, 2011.
59. LINGO 8.0, New LINGO 8.0-A Faster, More Versatile Release, 2004.