The state of the art in simulation study on FMS scheduling: A comprehensive survey

International Journal of Advanced Manufacturing Technology

Volumn 19, Issue 11, 2002, Pages 830-849

  Chan, F T S ^a   Chan, H K ^a   Lau, H C W ^b  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Artificial intelligence (AI); Flexible manufacturing systems; Multi criteria; Scheduling; Simulation

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; EXPERT SYSTEMS; FUZZY SETS; MATERIALS HANDLING; PERFORMANCE; SCHEDULING; STATISTICAL METHODS; SURVEYS;

MULTI-CRITERIA SCHEDULING; PARTS DISPATCHING; PERFORMANCE MEASURES;

FLEXIBLE MANUFACTURING SYSTEMS;

EID: 0036069575     PISSN: 02683768     EISSN: None     Source Type: Journal    
DOI: 10.1007/s001700200095     Document Type: Article

References (113)

1. FMS designer: An expert system for flexible manufacturing system design
2. Integrating flexible manufacturing systems with traditional manufacturing, planning, and control
3. Interaction between dispatching and next station selection rules in a dedicated flexible manufacturing system
4. Hierarchical control of flexible manufacturing systems
5. The machine loading and toll allocation problem in a flexible manufacturing system
6. A concise review of flexible manufacturing systems and FMS literature
7. Classification of flexible manufacturing systems
8. Variation in flexible manufacturing systems according to the relevant types of automated materials handling
9. Flexible manufacturing systems: A structural approach
10. A new classification scheme for flexible manufacturing systems
11. Classification and review of FMS scheduling procedures
12. Intelligent scheduling of automated machining systems
13. Effective capacity planning for automated factories requires workable simulation tools and responsive shop floor control
14. The design of flexible manufacturing systems
15. Dynamic job shop scheduling: A survey of simulation research
16. A production planning and scheduling model for flexible manufacturing
17. A new formulation of operation allocation problem in flexible manufacturing systems: Mathematical modeling and computational experience
18. An FMS planning procedure with material handling consideration
19. Heuristical job allocation in a flexible manufacturing system
20. Single machine scheduling to minimize mean absolute lateness: A heuristic solution
21. Simulation and graphical animation of advanced manufacturing systems
22. Modern tools for the design, modeling and evaluation of flexible manufacturing systems
23. Simulation for analysis of scheduling rules for a flexible manufacturing system
24. An evaluation of the interaction between dispatching rules and truncation procedures in job-shop scheduling
25. Simulation of flexible manufacturing systems via fuzzy control scheduling
26. An intelligent fuzzy decision support system for scheduling of FMS
27. Simulation of scheduling rules in a flexible manufacturing system using fuzzy logic
28. Analysis of scheduling rules for an FMS
29. Evaluation of the shortest processing time scheduling rule with transaction process
30. Evaluation of simple dispatching rules for dynamic single-machine earliness/tardiness
31. A study on decision rules of scheduling model in an FMS
32. A framework for part type selection and scheduling in FMS environments
33. A fuzzy integrated decision support system for scheduling of FMSs
34. Real-time operation selection in an FMS using simulation - a fuzzy approach
35. Scheduling and control of flexible manufacturing systems: A critical review
36. A review of scheduling rules in flexible manufacturing systems
37. Flexible manufacturing systems: A review of analytical models
38. Simulation aids design for flexible automation
39. Operational control of item flow in versatile manufacturing systems
40. Loading and control policies for flexible manufacturing systems
41. Loading and control strategies for an MS for rotational parts
42. Priority scheduling with cost considerations
43. Composite cost-based rules for priority scheduling in a randomly routed job shop
44. Scheduling parts in FMS to achieve maximum machine utilization
45. The scheduling problem in random flexible manufacturing systems
46. Effectiveness of alternate operations in a flexible manufacturing system
47. Flow optimization in flexible manufacturing systems
48. Experimental investigation of real-time scheduling in flexible manufacturing systems
49. Solution of scheduling problems of job shop type FMS with alternative machine tools
50. Machine utilizations and production rates achieved by using balanced aggregate FMS production ratios in a simulated setting
51. Using mathematical programming and simulation to study FMS machine utilizations
52. Experimental investigation of flexible manufacturing system scheduling rules
53. Sequencing in flexible manufacturing system and other short queue-length systems
54. Manufacturing systems operation: Dispatch rules versus intelligent control
55. Evaluation of traditional work scheduling rules in a flexible manufacturing system with a physical simulator
56. Quasi on-line scheduling procedures for flexible manufacturing systems
57. A comparison of dispatching rules for job shops with multiple identical jobs and alternative routeings
58. Scheduling random flexible manufacturing systems with dynamic environments
59. A transient-basaed real-time scheduling algorithm in FMS
60. An application of discrete-event simulation to on-line control and scheduling in flexible manufacturing
61. Scheduling approaches for random job shop flexible manufacturing systems
62. Dynamic dispatching algorithm for scheduling machines and automated guided vehicles in a flexible manufacturing system
63. Experimental investigation of FMS machine and AGV scheduling rules against the mean flow-time criterion
64. A study of scheduling rules of flexible manufacturing systems: A simulation approach
65. Scheduling rule selection for the forbiden early shipment environment: A comparison of economic objectives
66. Scheduling with sequencing flexibility
67. A simulation analysis of sequencing rules for ASRS in a pull-based assembly facility
68. A comparative study of FMS tool allocation and part type selection approaches for a varying part type mix
69. Impact of sequence-dependent setup time on job shop scheduling performance
70. Development of a computer simulator for dynamic scheduling of FMS to achieve optimal performance
71. Impact of routing flexibility on the performance of an FMS - a simulation study
72. Improving job shop performance by coordinating dispatching rules
73. Twofold look-ahead search for multi-criterion job shop scheduling
74. The effects of scheduling rules and routing flexibility on the performance of a random flexible manufacturing system
75. A comparative analysis of two different approaches to scheduling in flexible flow shops
76. Machine selection rules in a dynamic job shop
77. A multi-objective production planning model in a flexible manufacturing environment
78. A loading and dispatching problem in a random flexible manufacturing system
79. Multi-criteria operational control rules in flexible manufacturing systems (FMSs)
80. A review of multicriterion approaches to FMS scheduling problems
81. A mixed dispatching rule approach in FMS scheduling
82. A comparison of job dispatching rules using a total cost criterion
83. Simultaneous evaluation and selection of strategies for loading and controlling machines and material handling systems in FMS
84. An evaluation of group scheduling heuristic in a flow-line manufacturing cell
85. AGV dispatching
86. Multiple-objective scheduling for the hierarchical control of flexible manufacturing systems
87. An integrated decision support system for FMS: Using intelligent simulation
88. Dispatching rules in scheduling: A fuzzy approach
89. Fuzzy concepts in production management research: A review
90. Simulation through simulation
91. Multi-pass expert control system - a control/scheduling structure for flexible manufacturing cells
92. A method to control flexible manufacturing systems
93. Job shop scheduling using fuzzy logic in a computer integrated manufacturing environment
94. Intelligent dispatching for flexible manufacturing
95. Dynamic scheduling system utilizing machine learning as a knowledge acquisition tool
96. Part input into a flexible input flow system: An evaluation of look-ahead simulation and a fuzzy rule base
97. Application of artificial intelligence to problems in advanced manufacturing systems
98. Intelligent scheduling of FMSs with inductive learning capability using neural networks
99. Formation and dynamic routing of part families among flexible manufacturing cells
100. A fuzzy approach to operation selection
101. A rolling horizon job ship rescheduling strategy in the dynamic environment
102. A genetic algorithm for scheduling flexible manufacturing
103. Knowledge-based workcell attribute oriented dynamic schedulers for flexible manufacturing systems
104. A competitive neural network approach to multi-objective FMS scheduling
105. Integration of inductive learning and neural networks for multi-objective FMS scheduling
106. Intelligent scheduling and control of rail-guided vehicles and load/unload operations in a flexible manufacturing system
107. Fuzzy inference-based multiple criteria FMS scheduling
108. The application of parallel multipopulation genetic algorithms to dynamic job-shop scheduling