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The Operation of Manufacturing Systems

  • George Chryssolouris
Part of the Springer Texts in Mechanical Engineering book series (MES)

Abstract

The operation of a manufacturing system is the complex task of planning the material and information flows in the system. Proper material flow is what enables a manufacturing system to produce products on time and in sufficient quantity. It is a direct consequence of the system’s information flows: command information from human planners or from planning software presribes the material flow in the system, while sensory information about the status of the system’s resources is used to decide on the appropriate commands. The fundamental activity in the operation of a manufacturing system is thus determining the commands which prescribe the material flow in the system.

Keywords

Completion Time Manufacture System Efficient Frontier Shop Floor Safety Stock 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Graves, S.C., “A Review of Production Scheduling,” Operations Research (Vol. 29, 1981 ), pp. 646–675.MathSciNetMATHCrossRefGoogle Scholar
  2. 2.
    French, S., Sequencing and Scheduling: An Introduction to the Mathematics of the Job Shop, Ellis Horwood Limited, Chichester, West Sussex, England, 1982.Google Scholar
  3. 3.
    Rodammer, F.A., “A Recent Survey of Production Scheduling,” IEEE Transactions on Systems, Man and Cybernetics (Vol. 18, No. 6, 1988), pp. 841851.Google Scholar
  4. 4.
    Akella, R., Y. Choong and S.B. Gershwin, “Performance of a Hierarchical Production Scheduling Policy,” IEEE Transactions on Components Hybrid Manufacturing Technology (Vol. CHMT 7, No. 3, 1984 ), pp. 225–238.Google Scholar
  5. 5.
    Gershwin, S.B., R.R. Hildebrant, R. Suri and S.K. Mitter, “A Control Perspective on Recent Trends in Manufacturing Systems,” IEEE Control Systems (1986), pp. 3–15.Google Scholar
  6. 6.
    Abraham, C., B. Dietrich, S. Graves and W. Maxwell, “A Research Agenda for Models to Plan and Schedule Manufacturing Systems,” IBM Watson Research Center, working paper, 1985.Google Scholar
  7. 7.
    Ho, Y.C., “A Short Tutorial on Perturbation Analysis of Discrete Event Dynamic Models to Plan and Schedule Manufacturing Systems,” Proceedings of the First ORSAITIMS Special Interest Conference on Flexible Manufacturing Systems (1984), pp. 372–378.Google Scholar
  8. 8.
    Suri, R. and J.W. Dille, “On-Line Optimization of Flexible Manufacturing Systems Using Perturbation Analysis,” Proceedings of the First ORSAITIMS Special Interest Conference on Flexible Manufacturing Systems (1984), pp. 379–384.Google Scholar
  9. 9.
    Bensana, E., G. Bel and D. Dubois, “OPAL: A Multi-Knowledge Based System for Industrial Job-Shop Scheduling, International Journal of Production Research (Vol. 26, No. 5, 1988 ), 795–819.MathSciNetCrossRefGoogle Scholar
  10. 10.
    Anthony, R.N.,Planning and Control Systems: A Framework for Analysis, Harvard University Graduate School of Business Administration, Boston, MA, 1965.Google Scholar
  11. 11.
    Berry, W.L., T.E. Vollman and D.C. Whybark, Master Production Scheduling: Principles and Practice, American Production and Inventory Control Society, Washington, D.C., 1979.Google Scholar
  12. 12.
    Melnyk, S.A., P.L. Carter, D.M. Dilts and D.M. Lyth, Shop Floor Control, Dow Jones-Irwin, Homewood, IL, 1985.Google Scholar
  13. 13.
    Buffa, E.S. and R.K. San, Modern Production/Operations Management, John Wiley and Sons, New York, NY, 1987.Google Scholar
  14. 14.
    Bennet, D., C.Lewis and M. Oaklley, Operations Management, Philip Allan, Oxford, 1988.Google Scholar
  15. 15.
    Nicholson, T.A.J. and R.D. Pullen, “A Practical Control System for Optimizing Production Schedule,” International Journal of Production Research (Vol. 9, No. 2, 1971 ), pp. 219–227.CrossRefGoogle Scholar
  16. 16.
    Irastorza, J.C. and R.H. Deane, “Starve the Shop–Reduce Work-in-Process,” Production and Inventory Management (Vol. 17, No. 2, 1976 ), pp. 20–25.Google Scholar
  17. 17.
    Davis, E.W., and J.H. Patterson, “A Comparison of Heuristic and Optimum Solutions in Resource Constrained Project Scheduling”, Management Science (Vol. 21, 1975 ), pp. 944–955.CrossRefGoogle Scholar
  18. 18.
    Cabot, A.V and D.L. Harnett, An Introduction to Management Science, Addison-Wesley, Reading, MA, 1977.Google Scholar
  19. 19.
    Keeney, R.L. and H. Raiffa, “Decisions With Multiple Objectives: Preferences and Value Tradeoffs, Wiley, New York, NY, 1976.Google Scholar
  20. 20.
    Philip, J., “Algorithms for the Vector Maximization Problem,” Mathematical Programming (Vol. 2, 1972 ), pp. 207–229.MathSciNetMATHCrossRefGoogle Scholar
  21. 21.
    Zeleny, M., Linear Multiobjective Programming, Springer Verlag, Berlin, 1980.Google Scholar
  22. 22.
    Evans, J.P. and R.E. Steuer, “A Revised Simplex Method for Linear Multiple Objective Programs,” Mathematical Programming (Vol. 5, 1973 ), pp. 54–72.MathSciNetMATHCrossRefGoogle Scholar
  23. 23.
    Geoffrion, A., J.S. Dyer and A. Feinberg, “An Interactive Approach for Multi-Criterion Optimization, with an Application to the Operation of an Academic Department,” Management Science (Vol. 19, 1972 ), pp. 367–368.CrossRefGoogle Scholar
  24. 24.
    Zoints, S. and J. Wallenius, “An Interactive Programming Method for Solving the Multiple Criteria Problem,” Management Science (Vol. 22, 1976 ), pp. 652–663.CrossRefGoogle Scholar
  25. 25.
    Sarin, R.K., “Ranking of Multiattribute Alternatives and an Application to Coal Power Plant Siting,” in Multiple Criteria Decision Making: Theory and Applications, G. Fandel and T.Gal (eds.), Springer Verlag, Berlin, 1980.Google Scholar
  26. 26.
    Baker, K.R., “Priority Dispatching in the Single Channel Queue with Sequence-Dependent Set-ups,” Journal of Industrial Engineering (Vol. 19, No. 4, 1968 ).Google Scholar
  27. 27.
    Buffa, E.S. and J.G. Miller, Production Inventory Systems-Planning and Control, Third edition, Richard D. Irwin Inc., Homewood, IL, 1979.Google Scholar
  28. 28.
    Conway, R.W., W.L. Maxwell and L.W. Miller, Theory of Scheduling, Addison-Wesley Publishing Company, Reading, MA, 1967.MATHGoogle Scholar
  29. 29.
    Jackson, J.R., “Simulation Research on Job-Shop Production,” Naval Research Logistics Quarterly (Vol. 4, No. 4, 1957 ).Google Scholar
  30. 30.
    Rowe, A.J., “Toward a Theory of Scheduling,” Journal of Industrial Engineering (Vol. 11, No. 2, March 1960 ).Google Scholar
  31. 31.
    Malstrom, E.M., “A Literature Review and Analysis Methodology for Traditional Scheduling Rules in a Flexible Manufacturing System,” Final Technical Report performed under CAM-I Contract LA-83-FM-01, 1983.Google Scholar
  32. 32.
    Blackstone, J.H., D.T. Philips and G.L. Hogg, “A State of the Art Survey of Dispatching Rules for Manufacturing Job Shop Operations,” International Journal of Production Research (Vol. 20, No. 1, 1982 ), pp. 27–45.CrossRefGoogle Scholar
  33. 33.
    Conway, J.H., B.M. Johnson and W.L. Maxwell, “An Experimental Investigation of Priority Dispatching,” Journal of Industrial Engineering (Vol. 11, No. 3, 1960 ).Google Scholar
  34. 34.
    Moodie, C.L. and S.D. Roberts, “Experiments with Priority Dispatching Rules in a Parallel Processor Shop,” The International Journal of Production Research (Vol. 6, No. 4, 1968 ).Google Scholar
  35. 35.
    Elvers, D.E., “The Sensitivity of the Relative Effectiveness of Job Shop Dispatching Rules with Various Arrival Distributions,” Transactions of the American Institute of Industrial Engineers (Vol. 6, 1974 ), pp. 41.Google Scholar
  36. 36.
    Nanot, Y.R., “An Experimental Investigation and Comparative Evaluation of Priority Disciplines in Job-shop-like Queuing Networks,” Management Sciences Research Project, UCLA, Research Report No. 87, 1963.Google Scholar
  37. 37.
    Panwalker, Y.R. and W. Iskander, “A Survey of Scheduling Rules,” Operations Research (Vol. 25, 1977 ), pp. 48.Google Scholar
  38. 38.
    Rochette, R. and R.P. Sadowski, “A Statistical Comparison of the Performance of Simple Dispatching Rules for a Particular set of Job Shops,” International Journal of Production Research (Vol. 14, 1976 ), pp. 63.CrossRefGoogle Scholar
  39. 39.
    Wagner, H.M., “An Integer Programming Model for Machine Scheduling,” Naval Logistics Research Quarterly (Vol. 6, 1959 ), pp. 131–140.CrossRefGoogle Scholar
  40. 40.
    Held, M. and R.M. Karp, “A Dynamic Programming Approach to Sequencing Problems”, Journal of the Society for Industrial and Applied Mathematics (Vol. 10, 1962 ), pp. 196–210.MathSciNetMATHCrossRefGoogle Scholar
  41. 41.
    Schmidt, M.J., “Schedule Monitoring for Engineering Projects”, IEEE Transactions on Engineering Management (Vol. 35, No. 2, 1988 ), pp. 108–114.CrossRefGoogle Scholar
  42. 42.
    Fisher, H. and G.L. Thomson, “Probabilistic Learning Combinations of Local Job Shop Scheduling Rules,” in Industrial Scheduling, edited by J.F. Muth and G.L. Thomson, Prentice-Hall, (1963), pp. 225–251.Google Scholar
  43. 43.
    Gere, W.S. “Heuristics in Job Shop Scheduling,” Management Science (Vol. 13, 1966 ), pp. 167–190.CrossRefGoogle Scholar
  44. 44.
    Trybula, W.J. and R.G. Ingalls, Simulation of Hybrid Automation, General Electric Company, Electronics Automation Application Center, Charlottesville, Virginia, 1985.Google Scholar
  45. 45.
    Wu, S.Y. and R.A. Wysk, “An Application of Discrete-event Simulation to On-line Control and Scheduling in Flexible Manufacturing”, International Journal of Production Research (Vol. 27, No. 9, 1989 ), pp. 1603–1623.CrossRefGoogle Scholar
  46. 46.
    Mentink, W., B. van der Pluym, B. Goedhart, H. de Swann Arons, and H. Steinen, “Realtime Expert Systems in CIM,” Proceedings of Artificial Intelligence Applications (1988), pp. 577–581.Google Scholar
  47. 47.
    Van der Pluym, B. “Knowledge-based Decision-Making for Job Shop Scheduling,” International Journal of Computer Integrated Manufacturing (Vol. 3, No. 6, 1990 ), pp. 354–363.CrossRefGoogle Scholar
  48. 48.
    Chryssolouris, G., “MADEMA: An Approach to Intelligent Manufacturing Systems,” CIM Review (Spring 1987), pp. 11–17.Google Scholar
  49. 49.
    Chryssolouris, G., K. Wright, J. Pierce and W. Cobb, “Manufacturing Systems Operation: Dispatch Rules Versus Intelligent Control,” Robotics and Computer Integrated Manufacturing (Vol. 4, No. 3/4, 1988 ), pp. 531–544.CrossRefGoogle Scholar
  50. 50.
    Chryssolouris, G., J. Pierce and K. Dicke, “A Decision-Making Approach to the Operation of Flexible Manufacturing Systems,” International Journal of Flexible Manufacturing Systems (Vol. 4, 1991 ).Google Scholar
  51. 51.
    Chryssolouris, G., K. Dicke, M. Lee, “An Approach to Short Interval Scheduling for Discrete Parts Manufacturing,” International Journal of Computer-Integrated Manufacturing (Vol. 4, No. 3, 1991 ), pp. 157–168.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 1992

Authors and Affiliations

  • George Chryssolouris
    • 1
  1. 1.Laboratory for Manufacturing and ProductivityMassachusetts Institute of TechnologyCambridgeUSA

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