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A control strategy for promoting shop-floor stability

By You Sen Huang

Abstract

This research aimed to study real-time shop floor control problem in a manufacturing environment with dual resource (machine and labour), under impact of machine breakdowns. In this study, a multiperspective (order and resource perspectives) control strategy is proposed to improve effectiveness of dispatching procedure for promoting shop floor stability. In this control strategy, both order and resource related factors have been taken into account according to information on direct upstream and succeeding workcentres. A simulated manufacturing environment has been developed as a platform for testing and analysing performances of the proposed control strategy. A series of experiments have been carried out in a variety of system settings and conditions in the simulated manufacturing environment. The experiments have shown that the proposed control strategy outperformed the ODD (Earliest Operation Due Date) rule in hostile environments, which have been described by high level of shop load and/or high intensity of machine breakdowns. In hostile environments, the proposed control strategy has given best performance when overtime was not used, and given promising results in reduction of overtime cost when overtime was used to compensate for capacity loss. Further direction of research is also suggested

Topics: TS
OAI identifier: oai:wrap.warwick.ac.uk:2615

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  1. (1972). 6: Manufacturing Activity Planning,
  2. (1988). A constraintbased scheduling system for VLSI Wafer Fabrication. Knowledge based group,
  3. (1986). A control perspective on recent trends in manufacturing systems. doi
  4. (1994). A decision modelfor corrective maintenance management.
  5. (1989). A distributed Asynchronnous System for predictive and Reactive Scheduling doi
  6. (1990). A knowledge-based approach to dynamic jobshop scheduling. doi
  7. (1993). A multiple-pass heuristic rule for job shop scheduling with due dates. doi
  8. (1988). A real-time, rule-based operation control strategy in CIM environment. doi
  9. (1981). A review of production scheduling. doi
  10. (1989). A review of scheduling rules in flexible manufacturing systems. doi
  11. (1989). A review of the dual resource constrained system research.
  12. (1986). A system for manufacturing scheduling with interactive computer graphics doi
  13. (1993). Addressing the gap in scheduling research: a review of optimization and heuristic methods in production scheduling. doi
  14. (1990). Advances in the theory and practice of production scheduling. Control and Dynamic Systems, doi
  15. (1989). Afaintcnance and its inanagernent.
  16. (1964). An Experimental Investigation of Priority Assignment in a Job Shop. Rond Corp oration-Memorandum RM-3789-PR.
  17. (1988). An intelligent cell control system for automated manufacturing. doi
  18. (1995). Assessing the impact of reducing demand variance through improved planning on the performance of a dual resource constrained job shop. doi
  19. (1994). Blackboard architecture for reactive scheduling. Expert systems with applications, doi
  20. (1995). Comparative study of some priority dispatching rules under different shop loads. doi
  21. (1983). Constraint-Directed Search: A Case
  22. (1986). Constructing and maintaining detailed production plans: Investigation into the development of Knowledge-based factory scheduling systems.
  23. (1986). Contingencies for the design of Scheduling Expert Systerns. Expert Systems With Applications.,
  24. (1986). Designing flexible manufacturing systems using simulation.
  25. (1984). Determining maintenance manpower requirements.
  26. (1987). Determining overtime policies for a repair shop. doi
  27. (1990). Development of a knowledge based system for dynamic scheduling.
  28. (1993). Dynamic scheduling -A survey of research. doi
  29. (1992). Dynamic scheduling system utilizing machine learning as a knowledge acquisition tool. doi
  30. (1994). ESA: expert scheduling assistant. A task-oriented knowledge-based expert system.
  31. (1994). Evaluating variance control, order review1release and dispatching: a regression analysis. doi
  32. (1985). Expert systems and simulation. doi
  33. (1973). Group Technology. London: Butterworths.
  34. (1966). Heuristics in job shop. doi
  35. (1985). hitroduction to SIAIAN. System Modelling Corporation, PA. [Pluym
  36. (1986). Identifying the principles of effective production activity control
  37. (1991). Integrated Intelligent Simulation Environment for Manufacturing Scheduling. International AMSE conference. [Blackstone et al 19821
  38. (1992). Introduction to expert systems. doi
  39. (1979). Introduction to Simulation and SLAM. doi
  40. (1984). ISIS-A kno wledge- based system for factory scheduling.
  41. (1982). Job shop scheduling -a systematic approach. doi
  42. (1982). Job shop scheduling heuristics and frequency of scheduling. doi
  43. (1988). Job-Shop scheduling theory: What is relevant ?. doi
  44. (1991). Knowledge based approaches for scheduling problems: A survey. doi
  45. (1988). Knowledge Craft Manual.
  46. (1989). Knowledge- based scheduling under unpredicted conditions: two approaches. doi
  47. (1967). Labor and Machine Limited Production Systems. doi
  48. (1995). Load smoothing with feedback in a bottleneck job shop. doi
  49. (1990). Manufacturing Planning and Control System. Richard doi
  50. (1987). Manufacturing strategy: an empirical study.
  51. (1996). MRP at 'Iightspeedý
  52. (1991). Object-oriented simulation to support research in manufacturing systems. doi
  53. (1990). OPIS: An integrated framework for generating and revising factory schedules. doi
  54. (1982). Optimal operating rules for automated manufacturing systems. doi
  55. (1980). Optimized production timetables: a revolutionary program for industry.
  56. (1987). Priority rules for job shops with weighted tardiness costs. doi
  57. (1963). Probabilistic learning combinations of local job shop scheduling rules. Industrial Scheduling,
  58. (1988). Production activity control -a key aspect of production control. doi
  59. (1987). Production Activity Control -a practical guide. Dow Jones-Irwin,
  60. (1988). Production Control: Issues and Challenges. Intelligent Manufacturing, The Benjamin/
  61. (1990). Production Flow Analysis. doi
  62. (1994). Production scheduling systems using PROVISA. doi
  63. (1994). Reactive scheduling - an intelligent supervisor function.
  64. (1990). Reactive scheduling for a single machine: problem definition, analysis, and heuristic solution. doi
  65. (1991). Review of artificial intelligence-based job-shop scheduling systems. doi
  66. (1989). Revising the BB1 basic control loop to control the behavior of knowledge sources.
  67. (1995). Role of discrete event simulation techniques in finite capacity scheduling. doi
  68. (1993). Scheduling with forbidden early shipments: Alternative performance criteria and conditions. doi
  69. (1986). Scheduling, sequencing and dispatching: alternative perspectives.
  70. (1984). Sequencing rules and due date assignments in. a job shop. doi
  71. (1983). Seven deadly Sins of Production Control. doi
  72. (1985). ShoP Floor Control. Dow Jones-Irwin.
  73. (1986). Simulation and expert systems -A taxonomy and some examples. doi
  74. (1990). Synchronous manufacturing. Cincinnatti, South Western.
  75. (1993). Taking into account the rescheduling problem during the scheduling phase. Production Planning and Control, doi
  76. (1974). The GASP IV Simulation Language. doi
  77. (1984). The goal: Excellence in Manufacturing. Croton-on-
  78. (1993). The job shop tardiness problem: A decomposition approach. doi
  79. (1990). The look ahead dispatching procedure. doi
  80. (1985). The Simkit software package, Knowledgebased simulation in Kee.
  81. (1987). The timing of Labor Transfers in Dual Resource Constrained Systems: Tush' vs, 'Pull' rules. doi
  82. (1985). The use of multiple problem decompositions in time constrained planning tasks.
  83. (1967). Theory of scheduling.

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