Simulation-Based Lean Six-Sigma and Design for Six-Sigma

Simulation-Based Lean Six-Sigma and Design for Six-Sigma

Volumn , Issue , 2006, Pages 1-404

  El Haik, Basem ^a   Al Aomar, Raid ^b  

^a Six Sigma Professionals   (United States)

^b JORDAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Jordan)

Author keywords

[No Author keywords available]

Indexed keywords

LEAN PRODUCTION; PROBLEM SOLVING; PROCESS MONITORING; PRODUCT DESIGN; SIX SIGMA; WORK SIMPLIFICATION;

AMERICAN SOCIETY FOR QUALITIES; DESIGN FOR SIX SIGMA; DESIGN METHOD; KEY FEATURE; LEAN SIX SIGMA; PRODUCTS AND SERVICES; SIX SIGMA METHODS; SYSTEMS APPROACH;

PROCESS ENGINEERING;

EID: 40749088155     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/0470047720     Document Type: Book

References (92)

1. Akao, 1997. QFD: past, present, and future, Proceedings of the 3rd Annual International QFD Conference, Linköping, Sweden, October 1997, www.qfdi.org/qfd_history.pdf.
2. Al-Aomar, R. 2000. Model-mix analyses with DES, Proceedings of the 2000 Winter Simulation Conference, pp. 1385-1392.
3. Al-Aomar, R. 2003. A methodology for determining system and process-level manufacturing performance metrics, SAE Transactions Journal of Materials and Manufacturing, Vol. 111, No. 5, pp. 1043-1050.
4. Al-Aomar, R. 2004. Achieving six-sigma rating in a system simulation model, Proceedings of the 2nd International IE Conference, IIEC'04, CD-ROM.
5. Al-Aomar, R. 2006. Incorporating robustness into genetic algorithm search of stochastic simulation outputs, Simulation Practice and Theory, Vol. 14, No. 3, pp. 201-223.
6. Al-Aomar, R., and D. Cook. 1998. Modeling at the machine-control level with DES, Proceedings of the 1998 Winter Simulation Conference, pp. 927-933.
7. Al-Aomar, R., and M. Philips. 2002. Determining FPS measurables in vehicle's final assembly operations with DES, Ford Technical Journal, Vol. 5, No. 1.
8. Altshuler,G. S. 1990. On the theory of solving inventive problems, Design Methods and Theories, Vol. 24, No. 2, pp. 1216-1222.
9. Altshuler, G. S. 1988. Creativity as Exact Science, Gordon & Breach, New York.
10. Antony, J., and M. Kaye. 2000. Experimental Quality: A Strategic Approach to Achieve and Improve Quality, Kluwer Academic Publishers, Boston.
11. Automotive Industry Action Group. 2001. Potential Failure Mode and Effects Analysis (FMEA) Reference Manual, 3rd ed., AIAG, Southfield, MI.
12. Azadivar, F. 1999. Simulation optimization methodologies, Proceedings of the 1999 Winter Simulation Conference, pp. 93-100.
13. Banks, J. (Ed.). 1998. Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice, Wiley, New York.
14. Banks, J., J. S. Carson II,B. L. Nelson, and D. M. Nicol. 2001. Discrete Event System Simulation, 3rd ed. Prentice Hall, Upper Saddle River, NJ.
15. Benedetto, R. 2003. Adapting manufacturing-based six sigma methodology to the service environment of a radiology film library, Journal of Healthcare Management, Vol. 48, No. 4.
16. Benjamin, P. C., M. Erraguntla, and R. J. Mayer. 1995. Using simulation for robust design, Simulation, Vol. 65, No. 2, pp. 116-127.
17. Box, G. E. P.,W. G. Hunter, and J. S. Hunter. 1978. Statistics for Experimenters, Wiley, New York.
18. Breyfogle, F. W. 1999. Implementing Six Sigma: Smarter Solutions Using Statistical Methods, Wiley, New York.
19. Bulent, D. M., O. Kulak, and S. Tufekci. 2002. An implementation methodology for transition from traditional manufacturing to cellular manufacturing using axiomatic design, Proceedings of the International Conference on Axiomatic Design, Cambridge, MA.
20. Burchill,G., and C. H. Brodie. 1997. Voices into Choices: Acting on the Voice of the Customer, Joiner Associates, Inc., Madison, WI.
21. Cohen, L. 1995. Quality Function Deployment: How to Make QFD Work for You, Addison-Wesley, Reading, MA.
22. Ealey, L.A. 1994. Quality by Design:Taguchi Methods and U.S. Industry, American Supplier Institute, Dearborn, MI.
23. El-Haik, B. 1996. Vulnerability reduction techniques in engineering design, Ph.D. dissertation, Wayne State University, Detroit, MI.
24. El-Haik, B. 2005. Axiomatic Quality and Reliability, Wiley, New York.
25. El-Haik, B., and D. M. Roy. 2005. Service Design for Six-Sigma: A Roadmap for Excellence, Wiley, New York.
26. El-Haik, B., and K.Yang. 2000a. An integer programming formulation for the concept selection problem with an axiomatic perspective, Part I: Crisp formulation, Proceedings of the First International Conference on Axiomatic Design, MIT, Cambridge, MA, pp. 56-61.
27. El-Haik, B., and K.Yang. 2000b. An integer programming formulation for the concept selection problem with an axiomatic perspective, Part II: Fuzzy formulation, Proceedings of the First International Conference on Axiomatic Design, MIT, Cambridge, MA, pp. 62-69.
28. Feld, W. M. 2000. Lean Manufacturing: Tools, Techniques, and How to Use Them, CRC Press, Boca Raton, FL.
29. Ferng, J., and A. D. F. Price. 2005. An exploration of the synergies between six sigma, total quality management, lean construction and sustainable construction, International Journal of Six Sigma and Competitive Advantage, Vol. 1, No. 2, pp. 167-187.
30. Ferrin, D. M., D. Muthler, and M. J. Miller. 2002. Six sigma and simulation: so what's the correlation, Proceedings of the 2002 Winter Simulation Conference, pp. 1439-1433.
31. Fowlkes, W. Y., and C. M. Creveling. 1995. Engineering Methods for Robust Product Design, Addison-Wesley, Reading, MA.
32. General Electric Company. 2002. What is six sigma: the roadmap to customer impact, http://www.ge.com/sixsigma/.
33. George, M. L. 2002. Lean Six Sigma: Combining Six Sigma Quality with Lean Speed, McGraw-Hill, New York.
34. George, M. L. 2003. Lean Six Sigma for Service: How to Use Lean Speed and Six Sigma Quality to Improve Services and Transactions, McGraw-Hill, New York.
35. George, M. L.,D. Rowland, and B. Kastle. 2004. What Is Lean Six Sigma, McGraw-Hill, New York.
36. Goel, P., P. Gupta, and R. Jain. 2005. Six Sigma for Transactions and Service, McGraw-Hill, New York.
37. Goldratt, E. 1990. Theory of Constraints, North River Press, New York.
38. Goldratt, E. 1998. Computerized shop floor scheduling, International Journal of Production Research, Vol. 26, pp. 429-442.
39. Goldratt, E., and J. Cox. 1992. The Goal: A Process of Ongoing Improvement, 2nd ed., North River Press, New York.
40. Groover, M. P. 2002. Fundamentals of Modern Manufacturing: Materials, Processes, and Systems, 2nd ed.,Wiley, New York.
41. Harry, M. J., 1994. The Vision of 6-Sigma: A Roadmap for Breakthrough, Sigma Publishing Company, Phoenix, AZ.
42. Harry, M. J. 1998. Six sigma: a breakthrough strategy for profitability, Quality Progress, May, pp. 60-64.
43. Harry, M., and R. Schroeder. 2000. Six Sigma: The Breakthrough Management Strategy Revolutionizing the World's Top Corporations, Doubleday, New York.
44. Hauser, J. R., and D. Clausing. 1988. The house of quality, Harvard Business Review, Vol. 66, No. 3, pp. 63-73.
45. Heizer, J., and B. Render. 2001. Principles of Operations Management, 4th ed., Prentice Hall, Upper Saddle River, NJ.
46. iSixSigma LLC. 2004. http://www.isixsigma.com/.
47. Kelton, D. 1988. Designing computer simulation experiments, Proceedings of the 1988 Winter Simulation Conference, pp. 15-18.
48. Kacker, R. N. 1986. Taguchi's quality philosophy: analysis and comment, Quality Progress, Vol. 19, No. 12, pp. 21-29.
49. Kapur, K. C. 1988. An approach for the development of specifications for quality improvement, Quality Engineering, Vol. 1, No. 1, pp. 63-77.
50. Kapur, K. C. 1991. Quality engineering and tolerance design, Concurrent Engineering: Automation, Tools and Techniques, pp. 287-306.
51. Kapur, K. C., and L. R. Lamberson. 1977. Reliability in Engineering Design, Wiley, New York.
52. Krajewski, L. J., and L. P. Ritzman. 2002. Operations Management: Strategy and Analysis, 6th ed., Prentice Hall, Upper Saddle River, NJ.
53. Law, A., and D.Kelton. 1991. Simulation Modeling and Analysis, 3rd ed., McGraw-Hill, New York.
54. Law, A., and M.G. McComas. 2001. How to build valid and credible simulation models, Proceedings of the 2001 Winter Simulation Conference, pp. 22-28.
55. McClave, J., P. G. Benson, and T. Sincich. 1998. Statistics for Business and Economics, 7th ed., Prentice Hall, Upper Saddle River, NJ.
56. Moeeni, F., S. M. Sanchez, and A. J. Vakharia. 1997. A robust design methodology for Kanban system design, International Journal of Production Research, Vol. 35, No. 10, pp. 2821-2838.
57. Montgomery, D.C. 2003. Design and Analysis of Experiments, 5th ed.,Wiley, New York.
58. Montgomery, D. C., and G. C. Runger. 2003. Applied Statistics and Probability for Engineers, 3rd ed.,Wiley, New York.
59. Motorola Company. 2002. Motorola six sigma services, http://mu.motorola.com/sigmasplash.htm/.
60. Nair, V. N. 1992. Taguchi's parameter design: a panel discussion, Technometrics, Vol. 34, No. 2, pp. 127-161.
61. Nakui, S. 1991. Comprehensive QFD system, Transactions of the 3rd International Symposium on QFD, Novi, MI, pp. 137-152.
62. Niebel, B., and A. Freivalds. 2003. Methods, Standards, and Work Design, 7th ed., McGraw-Hill, New York.
63. Nikoukaran, J., and R. J. Paul. 1999. Software selection for simulation in manufacturing: a review, Simulation Practice and Theory, Vol. 7, pp. 1-14.
64. Nordlund, M. 1996. An information framework for engineering design based on axiomatic design, doctoral dissertation, Royal Institute of Technology (KTH), Department of Manufacturing Systems, Stockholm, Sweden.
65. Nordlund, M., D. Tate, and N. P. Suh. 1996. Growth of axiomatic design through industrial practice, Proceedings of the 3rd CIRP Workshop on Design and Implementation of Intelligent Manufacturing Systems, Tokyo, June 19-21, pp. 77-84.
66. Ohno, T. 1998. Toyota Production System: Beyond Large-Scale Production, Productivity Press, New York.
67. Phadke, S. M. 1989. Quality Engineering Using Robust Design, Prentice Hall, Englewood Cliffs, NJ.
68. Pugh, S. 1991. Total Design: Integrated Methods for Successful Product Engineering, Addison-Wesley, Reading, MA.
69. Pugh, S. 1996. In Creating Innovative Products Using Total Design, Clausing and Andrade (Eds.), Addison-Wesley, Reading, MA.
70. Ross, P. J. 1996.Taguchi Techniques for Quality Engineering, 2nd ed., McGraw-Hill,New York.
71. Sanchez, S. M., P. J., Sanchez, J. S. Ramberg, and F. Moeeni. 1996. Effective engineering design through simulation, International Transactions in Operational Research, Vol. 3, No. 2, pp. 169-185.
72. Sharad, K. M.,V. Misra, and N. K. Mehta. 1991. A new approach to process parameter selection: integration of quality, Computers and Industrial Engineering, Vol. 21, No. 1, pp. 57-61.
73. Smith, J. S. 2003. Survey on the use of simulation for manufacturing system design and operation, Journal of Manufacturing Systems, Vol. 22, No. 2, pp. 157-171.
74. Snee, R. D. 2004. Six-sigma: the evolution of 100 years of business improvement methodology, International Journal of Six Sigma and Competitive Advantage, Vol. 1, No. 1, pp. 4-20.
75. Snee, R. D., and R.W. Hoerl. 2005. Six Sigma Beyond the Factory Floor, Prentice Hall, Upper Saddle River, NJ.
76. Suh, N. P. 1984. Development of the science base for the manufacturing field through the axiomatic approach, Robotics and Computer Integrated Manufacturing, Vol. 1, No. 3-4.
77. Suh, N. P. 1990. The Principles of Design, Oxford University Press, New York.
78. Suh, N. P. 1995. Design and operation of large systems, Journal of Manufacturing Systems, Vol. 14, No. 3.
79. Suh, N. P. 1996. Impact of axiomatic design, Proceedings of the 3rd CIRPWorkshop on Design and the Implementation of Intelligent Manufacturing Systems, Tokyo, June 19-22, pp. 8-17.
80. Suh, N. P. 1997. Design of systems, Annals of CIRP, Vol. 46, No. 1, pp. 75-80.
81. Suh,N. P. 2001. Axiomatic Design: Advances and Applications, Oxford University Press, New York.
82. Swisher, J., P. Hyden, S. Jacobson, and L. Schruben. 2000. A survey of simulation optimization techniques and procedures, Proceedings of the 2000 Winter Simulation Conference, pp. 119-128.
83. Taguchi, G. 1986. Introduction to quality engineering: designing quality into products and processes, Quality Resources.
84. Taguchi, G., and Y.Wu. 1980. Introduction to Off-line Quality Control, Central Japan Quality Association, Nagoya, Japan.
85. Tsai, C. S. 2002. Evaluation and optimization of integrated manufacturing system operations using Taguchi's experimental design in computer simulation, Computers and Industrial Engineering, Vol. 43, No. 3, pp. 591-604.
86. Tsui, K. L. 1992. An overview of Taguchi method and newly developed statistical methods for robust design, IIE Transactions, Vol. 24, No. 5, pp. 44-57.
87. Wild, R. H., and J. J. Pignatiello. 1991. An experimental design strategy for designing robust systems using discrete-event simulation, Simulation, Vol. 57, No. 6, pp. 358-368.
88. Womack, J. P., and D. T. Jones. 1996. Lean Thinking, Simon & Schuster, New York.
89. Womack, J. P., D. T. Jones, and D. Roos. 1991. The Machine That Changed the World: The Story of Lean Production, HarperCollin, New York.
90. Yang, K., and B. El-Haik. 2003. Design for Six Sigma: A Roadmap for Product Development, McGraw-Hill, New York.
91. Zairi, M., and M. A.Youssef. 1995. Quality function deployment: a main pillar for successful total quality management and product development, International Journal of Quality and Reliability Management, Vol. 12, No. 6, pp. 9-23.
92. Zeigler, B. P., K. Praehofer, and T. G. Kim. 2000. Theory of Modeling and Simulation, 2nd ed., Academic Press, San Diego, CA.