A framework for developing intelligent real-time scheduling systems

Human Factors and Ergonomics In Manufacturing

Volumn 16, Issue 4, 2006, Pages 385-408

  McPherson, Ronald F ^a   White Jr , K Preston ^b  

^a LONGWOOD UNIVERSITY   (United States)

^b UNIVERSITY OF VIRGINIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HIERARCHICAL MANAGEMENT-CONTROL FRAMEWORK; INTELLIGENT SCHEDULING SYSTEMS; KNOWLEDGE-BASED SCHEDULING SYSTEMS; REAL-TIME SCHEDULING SYSTEMS;

DECISION MAKING; KNOWLEDGE BASED SYSTEMS; REAL TIME SYSTEMS; SYSTEMS ANALYSIS;

SCHEDULING;

EID: 33749652920     PISSN: 10908471     EISSN: 15206564     Source Type: Journal    
DOI: 10.1002/hfm.20059     Document Type: Article

References (58)

1. Aarsten, A., Brugali, D., Menga, G., & Mosconi, L. (1996). Using agent technology in virtual factories. Paper presented at the 27th International Symposium on Industrial Robotics, Milan, Italy, October, pp. 6-8.
2. Abraham, C., & Dietrich, B. (1985). Discrete manufacturing taxonomy. Yorktown Heights, NY: IBM Research Center.
3. Abraham, C., Dietrich, B., Graves, S., & Maxwell, W. (1985). A research agenda for models to plan and schedule manufacturing. Yorktown Heights, NY: IBM Research Center.
4. Ackoff, L. R. (1971). Towards a system of systems concepts. Management Science, 17(11), 661-671.
5. Akella, R., Choong, Y., & Gershwin, S.B. (1985). Performance of a hierarchical production scheduling policy. IEEE Transactions on Components, Hybrids, and Manufacturing Technology, 7, 225-238.
6. Anderson, H., Axsater, S., & Jonsson, H. (1981). Hierarchical material requirements planning. International Journal of Production Research, 19, 45-57.
7. Anthony, R.N. (1965). Planning and control systems: A framework for analysis. Cambridge, MA: The President and Fellows of Harvard University.
8. Axsater, S. (1981). Aggregation of product data for hierarchical production planning. Operations Research, 29, 744-756.
9. Bitran, G.R., & Hax, A.C. (1977). On the design of hierarchical production planning systems. Decision Sciences, 8, 46-57.
10. Bitran, G.R., Haas, E. A., & Hax, A.C. (1981). Hierarchical production planning: A single stage system. Operations Research, 29, 717-743.
11. Bitran, G.R., Haas, E.A., & Hax, A.C. (1982). Hierarchical production planning: A two stage system. Operations Research, 30(2), 232-251.
12. Brown, D., & Scherer, W. (1995). Intelligent scheduling systems. Boston: Kluwer.
13. Brugali, D., & Sycara, K. (1998). Agent technology: A new frontier for the development of application frameworks? In M. Fayad, D. C. Schmidt, & R. E. Johnson (Eds.), Object oriented application frameworks. New York: Wiley. (pp. AF1204-1 through AF1204-16).
14. Brugali, D., & Sycara, K. (2000). Towards agent-oriented application frameworks. ACM Computing Surveys, 32, 21-27.
15. Bruno, G., Elia, A., & Laface, P. (1986). A rule-based system to schedule production. IEEE Computer, 19(7), 32-40.
16. Chiodini, V. (1986). A knowledge-based system for dynamic manufacturing replanning. In Proceedings of the Symposium on Real-Time Optimization in Automated Manufacturing Facilities (Special Publication 724, pp. 357-372). Gaithersburg, MD: National Bureau of Standards.
17. Drexl, A., & Kimms, A. (Eds.) (1998). Beyond manufacturing resource planning (MRP II): Advanced models and methods for production planning. Berlin: Springer.
18. Fikes, R.E., & Nilsson, N.J. (1971). STRIPS: A new approach to the application of theorem proving to problem solving. Artificial Intelligence 2, 189-205.
19. Flamholtz, E.G., Das, T.K., & Tsui, A.S. (1985) Toward an integrative framework of organizational control. Accounting Organizations and Society, 10, 35-50.
20. Fox, M.S., Allen, B.P., Smith, S.F., & Strohm, G.A. (1983). ISIS: A constraint-directed reasoning approach to job shop scheduling: System summary (Technical Report CMU-RI-TR-83-8). Pittsburgh, PA: Carnegie-Mellon University, The Robotics Institute.
21. Gershwin, S.B. (1986). An approach to hierarchical production planning and scheduling. In Proceedings of the Symposium on Real-time Optimization in Automated Manufacturing Systems (Special Publication 724, pp. 1-14). Gaithersburg, MD: National Bureau of Standards.
22. Gershwin, S.B. (1989). Hierarchical flow control: A framework for scheduling and planning discrete events in manufacturing systems. In Proceedings of the IEEE (Vol. 77, pp. 195-208). Piscataway, NJ: IEEE.
23. Gershwin, S.B., Hildebrant, R.R., Suri, R., & Mitter, S.K. (1986, April). A control theorist's perspective on recent trends in manufacturing systems. IEEE Control Systems, 6, 3-15.
24. Hax, A.C., & Golovin, J.J. (1978). Hierarchical production planning. In A.C. Hax (Ed.), Studies in operations management. Amsterdam: Elsevier.
25. Hax, A.C., & Meal, H.C. (1975). Hierarchical integration of production planning and scheduling. In M.A. Geisler (Ed.), Studies in management sciences: Logistics (Vol. 1, pp. 53-69). Amsterdam: Elsevier.
26. Higgins, P.G. (1996). Interaction in hybrid intelligent schedules. International Journal of Human Factors in Manufacturing, 6, 185-203.
27. Higgins, P., & Browne, J. (1992). Master production scheduling: A concurrent planning approach. Production Planning and Control, 3, 2-18
28. Jackson, R.H.F., & Jones, A.W.T. (1987). An architecture for decision making in the factory of the future. Interfaces, 17, 15-28.
29. Jones, A.W.T., & McLean, C. (1986). A proposed hierarchical control model for automated manufacturing systems. Journal of Manufacturing Systems, 5, 15-25.
30. Kappel, G., Rausch-Schott, S., & Retschitzegger, W. (2000). A framework for workflow management systems based on objects, rules and roles. ACM Computing Surveys, 32, 27-31.
31. Kolb, A. (2000). Ein agentenbasiertes System zur nebenläufigen Selbstorganization von Arbeitsvorgängen im Umfeld der Terminplanung, Kapazitätsplanung und Fertigungs-steuerung. Schwäbisch Grmünd. Zugl. Gergakademie Freiberg, TU. Diss., 1999.
32. Maxwell, W., Muckstadt, J.A., Thomas, J., & VanderEecken, J. (1983). A modeling framework for planning and control of production in discrete parts manufacturing and assembly systems. Interfaces, 13, 92-104.
33. McKay, K.N., Safayeni, F.R., & Buzacott, J.A. (1993). Schedulers & planners: What and how can we learn from them. In W.T. Scherer & D.E. Brown (Eds.), Proceedings of the Intelligent Scheduling Systems Symposium. Hanover, MD: ORSA/TIMS.
34. McKay, K.N., Safayeni, F.R., & Buzacott, J.A. (1995). A review of hierarchical production planning and its applicability for modern manufacturing. Production Planning and Control, 6, 384-394.
35. McPherson, R.F., & White, K.P. (1994). Management control and the manufacturing hierarchy: Managing integrated manufacturing organizations. International Journal of Human Factors in Manufacturing, 4, 121-144.
36. Meal, H.C. (1985, March/April). Putting production decisions where they belong. Harvard Business Review, 102-110.
37. Merchant, K.A. (1985). Control in business organizations. London: Pitman Publishing.
38. Mesarovich, M.D., Macko, D., & Takahara, Y. (1970). Theory of hierarchical multilevel systems. New York: Academic Press.
39. Middaugh, J.K., & McPherson, R.F. (1985). A conceptual framework for planning and control using a generic decision process approach. Working Paper, Colgate Darden Graduate School of Business Administration, University of Virginia, Charlottesville, VA.
40. Mitchell, C.M. (1987). GT-MSOCC: A domain for research on human-computer interaction and supervisory control systems. IEEE Transactions on Systems, Man, and Cybernetics, SMC-17, 553-573.
41. Palmer, J., Kasavana, M.L., & McPherson, R. (1993, February). Creating a technological circle of service. The Cornell H.R.A. Quarterly, 34, 81-87.
42. Reynolds, R. (1988, July). Knowledge-based production scheduler reacts in real time. Chilton's I & C S: The Industrial and Process Control Magazine, 61, 45-46.
43. Rodammer, F.A., & White, K.P., Jr. (1989). A recent review of production scheduling approaches. IEEE Transactions on Systems, Man, and Cybernetics, 18, 841-851.
44. Scherer, W.T., & Brown, D.E. (Eds.). (1993). Proceedings of the Intelligent Scheduling Systems Symposium. Hanover, MD: ORSA/TIMS.
45. Semeco, A.C., Roth, S.P., Williams, B.D., & Gilmore, J. (1986) The GENSCHED Project: General scheduling knowledge base system. Final Report. Atlanta, GA: Georgia Institute of Technology.
46. Shaw, M.J. (1987, Winter). Knowledge-based scheduling in flexible manufacturing systems. Texas Instruments Technical Journal, 4, 54-61.
47. Shaw, M.J., & Whinston, A.B. (1989). An artificial intelligence approach to the scheduling of flexible manufacturing systems. IIE Transactions, 21, 170-183.
48. Shen, W., & Norrie, D.H. (1999). Agent-based systems for intelligent manufacturing: A state-of-the-art survey. Knowledge and Information Systems, An International Journal, 1, 129-156.
49. Simpson, J., Hocken, R., & Albus, J. (1982). The automated manufacturing research facility of the national bureau of standards. Journal of Manufacturing Systems, 1, 17-31.
50. Smith, S.F. (1993). A methodology and architecture for reactive scheduling. In W.T. Scherer & D.E. Brown (Eds.), Proceedings of the Intelligent Scheduling Systems Symposium. Hanover, MD: ORSA/TIMS.
51. Smith, S.F., Fox, M.S., & Ow, P.S. (1984). Constructing and maintaining production plans: Investigations into the development of knowledge-based factory scheduling systems. AI Magazine, 7(4), 45-61.
52. Svestka, J.A., & Jiang, J. (1993). IS - The intelligent scheduler. In W.T. Scherer & D.E. Brown (Eds.), Proceedings of the Intelligent Scheduling Systems Symposium. Hanover, MD: ORSA/TIMS.
53. Valckenaers, P., & Brussel van, H. (1999, September). On the fundamental difference between manufacturing planning and manufacturing execution. Paper presented at the ASI '99; Life Cycle Approaches to Production Systems: Management, Control, and Supervision Workshop, Leuven, Belgium.
54. Vere, S.A. (1983). Planning in time: Windows and durations for activities and goals. IEEE Transactions on Pattern Analysis and Machine Intelligence, 5, 246-267.
55. Westkämper, E., Schmidt, Th., & Wiendahl, H.H. (2000). Production planning and control with learning technologies: Simulation and optimization of complex production processes. In C.T. Leondes (Ed.), Knowledge-based systems, techniques and applications (Vol. 3, pp. 839-887). San Diego: Academic Press.
56. White, K.P., Jr. (1990). Advances in the theory and practice of production scheduling. In C.T. Leondes (Ed.), Control in dynamic systems (Vol. 37). San Diego: Academic Press.
57. Young, S. (1966). Management: A systems analysis. Glenview, IL: Scott, Foresman and Company.
58. Zweben, M., & Fox, M. (1994). Intelligent scheduling. San Francisco: Morgan Kaufmann.