Skip to main content

Operations Research Models and Techniques

  • Chapter
Computer-Aided Production Management

Part of the book series: IFIP State-of-the-Art Reports ((IFIP))

Abstract

The development of production management had its beginning in the years of the industrial revolution [1]. The first significant application of operations research was the use of the simplex method of linear programming to war operation problems [2]. Since then there have been a number of operations research models which have found their use in production management. These models can be broadly classified into:

  1. 1.

    deterministic models

  2. 2.

    probabilistic models.

Wing S. Chow received a B.Sc. degree in Applied Mathematics from the University of Winnipeg, Manitoba, Canada, a B.Sc. degree in Statistics and an M.Sc. degree in Operations Research from the University of Manitoba. He is a Ph.D. student in the Department of Mechanical and Industrial Engineering at the University of Manitoba. His interests are in group technology and scheduling flexible manufacturing systems.

Sunderesh Heragu is a Ph.D. student in the Department of Mechanical and Industrial Engineering at the University of Manitoba, Canada. He received M.B.A. from University of Saskatchewan, Canada in 1985 and B. Engg in Mechanical Engineering from University of Mysore, India in 1982. His interests are in the design and layout planning of flexible manufacturing systems.

Dr. Andrew Kusiak is an Associate Professor of industrial engineering in the Department of Mechanical and Industrial Engineering at the University of Manitoba, Winnipeg, Manitoba, Canada. He received a B.Sc. degree in Precision Engineering, an M.Sc. degree in Mechanical Engineering from Warsaw Technical University, and a Ph.D. degree in Operations Research from the Polish Academy of Sciences in 1978. His main interests are in applications of operations research and artificial intelligence techniques in design and operation of manufacturing and storage systems. Dr. Kusiak is a member of IFIP WG 5.7.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Buffa, E. S., Basic Production Management. John Wiley and Sons, New York, 1971

    Google Scholar 

  2. Chase, R. B. and Aquilano, N. J., Production and Operations Management. Richard D. Irwin, Homewood, Illinois, 1977

    Google Scholar 

  3. Shannon, R. E., Long, S. S., and Buckles, B. P., Operations research methodologies in industrial engineering: a survey. AIIE Transactions, Vol. 12, No. 4, 1980, pp. 364–366

    Article  Google Scholar 

  4. Gass, S. I., Linear Programming. McGraw-Hill, New York, 1969

    Google Scholar 

  5. Budnick, F. S., Mojena, R., and Vollmann, T. E., Principles of Operations Research for Management. Richard D. Irwin, Homewood, Illinois, 1977

    Google Scholar 

  6. Lee, S. M., Moore, L. J., and Taylor, B. W., Management Science. Wm. C. Brown, Iowa, 1985

    Google Scholar 

  7. Garfinkel, R. S. and Nemhauser, G. L., Integer Programming. John Wiley and Sons, New York, 1972

    MATH  Google Scholar 

  8. Bowman, E. H., Production planning by the transportation method of linear programming. Operations Research, Vol. 3, No. 1, 1956, pp. 100–103

    Article  Google Scholar 

  9. Simmons, D. M., Nonlinear Programming for Operations Research. Prentice-Hall, Englewood Cliffs, New Jersey, 1975

    Google Scholar 

  10. McCormick, G. P., Nonlinear Programming: Theory, Algorithms, and Applications. John Wiley and Sons, New York, 1983

    MATH  Google Scholar 

  11. Bazaraa, M. S. and Shetty, C. M., Nonlinear Programming: Theory and Algorithms. John Wiley and Sons, New York, 1979

    MATH  Google Scholar 

  12. Gorney, L., Queueing Theory: A Problem Solving Approach. Petrocelli Books, New York, 1981

    MATH  Google Scholar 

  13. Phillips, D. T. and Garcia-Diaz, A., Fundamentals of Network Analysis. Prentice-Hall, Englewood Cliffs, New Jersey, 1981

    Google Scholar 

  14. Gaimon, C., Optimal inventory, backlogging and machine loading in a serial, multi-stage, multi-period production environment. International Journal of Production Research, Vol. 24, No. 3, 1986, pp. 647–662

    Article  MATH  Google Scholar 

  15. Eldredge, D. L. and Holdman, B., A cost minimization production planning model for continuous process chemical plant operations. Journal of Operations Manegement, Vol. 2, No. 3, 1982, pp. 197–202

    Article  Google Scholar 

  16. Sherali, H. D. and Staschus, K., Solar energy in electric utility planning: a linear programming approach. OMEGA, Vol. 12, No. 2, 1984, pp. 165–174

    Article  Google Scholar 

  17. Chang, Y. L. and Sullivan, S., Real-time scheduling of flexible manufacturing systems: a conceptual and mathematical foundation. Presented at ORSA/TIMS Meeting, San Francisco, California, 1984

    Google Scholar 

  18. Kusiak, A., Loading models in flexible manufacturing systems. In: A. Raouf and S. Ahmad (eds.), Flexible Manufacturing. Elsevier, New York, 1985, pp. 119–132

    Google Scholar 

  19. Randhawa, W. V., McDowell, E. D., and Faruqui, S. D., An integer programming application to solve sequencer mix problems in printed circuit board production. International Journal of Production Research, Vol. 23, No. 3, 1985, pp. 543–552

    Article  MATH  Google Scholar 

  20. Wilhelm, W. E. and Sarin, S. C., A structure for sequencing robot activities in machine tending application. International Journal of Production Research, Vol. 23, No. 1, 1985, pp. 47–64

    Article  Google Scholar 

  21. Egbelu, P., Planning for machining in a multi-job multi-machine manufacturing environment. International Journal of Manufacturing Systems, Vol. 5, No. 1, 1986, pp. 1–14

    Article  Google Scholar 

  22. Baumol, W. J. and Wolfe, P., A warehouse-location problem. Operations Research, Vol. 6, 1958, pp. 252–263

    Article  MathSciNet  Google Scholar 

  23. Das, C. S. and Heragu, S., A transportation approach to locating plants in relation to potential markets and raw materials sources. Decision Sciences, Vol. 20, No. 1, Winter 1989

    Google Scholar 

  24. Stecke, K. E., Formulation and solution of non-linear integer production planning problems for flexible manufacturing systems. Management Science, Vol. 29, 1983, pp. 273–288

    Article  MATH  Google Scholar 

  25. Kimemia, J. G. and Gershwin, S. B., Flow optimization in flexible manufacturing systems. International Journal of Production Research, Vol. 23, No. 1, 1985, pp. 81–96

    Article  Google Scholar 

  26. Cheng, T. C. E., Optimal due-date assignment in a job shop. International Journal of Production Research, Vol. 24, No. 3, 1986, pp. 503–515

    Article  MATH  Google Scholar 

  27. Vinod, B. and Solberg, J., Performance models for unreliable flexible manufacturing systems. OMEGA, Vol. 12, No. 3, 1984, pp. 299–308

    Article  Google Scholar 

  28. Dar-El, E. M. and Wysk, R. A., Job shop scheduling - systematic approach. Journal of Manufacturing Systems, Vol. 1, No. 1, 1986, pp. 77–88

    Article  Google Scholar 

  29. Chow, W. M., Design for line flexibility. HE Transactions, Vol. 18, No. 1, 1986, pp. 95–103

    Google Scholar 

  30. Souder, W. E., Management Decision Methods for Managers of Engineering and Research. Van Nostrand Reinhold, New York, 1980

    Google Scholar 

  31. Bennington, G. E., Applying network analysis. Journal of Industrial Engineering, Vol. 6, No. 1, 1974, pp. 17–25

    Google Scholar 

  32. Smythe, W. R. and Johnson, L., Introduction to Linear Programming with Applications. Prentice Hall, Englewood Cliffs, New Jersey, 1966

    Google Scholar 

  33. Kusiak, A., Scheduling flexible machining and assembly systems. In: K. E. Stecke and R. Suri (eds.), Proceedings of the Second ORSA/TIMS Conference on Flexible Manufacturing Systems: Operations Research Models and Applications. Elsevier, New York, 1986, pp. 521–532

    Google Scholar 

  34. Shanthikumar, J. G. and Buzacott, J. A., Open queueing network models of dynamic job shops. International Journal of Production Research, Vol. 19, 1981, pp. 255–266

    Article  Google Scholar 

  35. Taha, H. A., Operations Research: an Introduction. Macmillan, New York, 1983

    Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1988 IFIP International Federation for Information Processing

About this chapter

Cite this chapter

Chow, W.S., Heragu, S., Kusiak, A. (1988). Operations Research Models and Techniques. In: Rolstadås, A. (eds) Computer-Aided Production Management. IFIP State-of-the-Art Reports. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-73318-5_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-73318-5_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-73320-8

  • Online ISBN: 978-3-642-73318-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics