Intelligent simulation-based scheduling of workcells: An approach

Integrated Manufacturing Systems

Volumn 8, Issue 1, 1997, Pages 6-23

  Soon, Tan Hock ^a   De Souza, Robert ^b  

^a SPL WorldGroup   (Singapore)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER AIDED MANUFACTURING; COMPUTER SIMULATION; DATA PROCESSING; FLEXIBLE MANUFACTURING SYSTEMS; NEURAL NETWORKS; OPERATIONS RESEARCH; PROCESS CONTROL; PRODUCTION CONTROL; RESOURCE ALLOCATION; SCHEDULING; STRATEGIC PLANNING;

SHOPFLOOR SCHEDULING; WORK IN PROGRESS (WIP);

COMPUTER INTEGRATED MANUFACTURING;

EID: 0030711211     PISSN: 09576061     EISSN: None     Source Type: Journal    
DOI: 10.1108/09576069710158754     Document Type: Article

References (66)

1. Arzi, Y. and Roll, Y. (1993), "Despatching procedures for a flexible manufacturing cell in constant production circumstances", International Journal of Operations & Production Management, Vol. 13 No. 11, pp. 35-51.
2. Banks, J. (1994), "Pitfalls in the simulation process", Proceedings of Conference on New Directions in Simulation for Manufacturing and Communications, Operations Research Society of Japan, Tokyo, pp. 57-63.
3. Berry, P.M. (1993), "Scheduling and uncertainty reasoning" an example described", in Dorn, J. and Froeschl, K. A. (Eds), Scheduling of Production Processes, Ellis Horwood, Chichester, pp. 31-47.
4. Bezirgan, A. (1993), "A case-based approach to scheduling constraints", in Dorn, Y. and Froeschl, K. A. (Eds), Scheduling of Production Processes, Ellis Horwood, Chichester, pp. 48-60.
5. Buchanan, Y.T. (1990), "Current and future scheduling systems", Conference Proceedings of CAI)/CAM '90, Strathclyde Institute, Glasgow, pp. 286-94
6. Canzi, U. and Guida, G. (1993), "The temporal model of CRONOS-II: a knowledge-based system for production scheduling", in Dorn, J. and Froeschl, K.A. (Eds), Scheduling of Production Processes, Ellis Horwood, Chichester, pp. 113-29.
7. Charalambous, O. and Hindi, K.S. (1991), "A review of artificial intelligence-based job-shop scheduling systems", Information and Decision Technologies, Vol. 17 No. 1, pp. 189-201.
8. Choo, F.H., Chin, T.C., Kim, Y.P. and Arularasan, R. (1994), "FMS schedule optimization via genetic algorithm", Proceedings of the 3rd Industrial Automation Conference, Industrial Automation Association, Singapore, pp. 1-15.
9. Chryssolouris, G., Dicko, K. and Lee, M. (1994), "An approach to real-time scheduling", The International Journal of Flexible Manufacturing Systems, Vol. 6 No. 3, July, pp. 235-53.
10. Dagli, C. and Huggahalli, R. (1991), "A neural network architecture for faster dynamic scheduling in manufacturing systems", Proceedings of the IEEE International Conference on Robotics and Automation, Vol. 3, IEEE Computer Society Press, Washington, DC, pp. 2408-13.
11. Davis, W.Y. (1994), "Evolving simulation requirements with the co-ordination of flexible manufacturing system", Proceedings of Conference on New Directions in Simulation for Manufacturing and Communications, Operations Research Society of Japan, Tokyo, pp. 482-8.
12. Factor Aim Modelling Reference Ver. 5.3. IBM OS/2 Operating System (1993), Pritsker Corp., Purdue.
13. Factor Aim User's Guide Ver. 5.3. IBM OS/2 Operating System (1993), Pritsker Corp., Purdue.
14. Factor Implementation Guide Ver. 4.0. Base System Conveyor Systems, Tooling Systems, Autoguided Vehicles, Storage & Retrieval Systems (1989), Pritsker Corp., Purdue.
15. Factor User Guide Ver. 4.0. Information Transfer (1989), Pritsker Corp., Purdue.
16. Falkenauer, E. and Bouffouix, S. (1991), "A genetic algorithm for job shop", Proceedings of the IEEE International Conference on Robotics and Automation, Vol. 1, IEEE Computer Society Press, Washington, DC, pp. 824-9.
17. Farrington, P.A. and Swain, Y.Y. (1993), "Design of simulation experiments with manufacturing applications", Proceedings of the Winter Simulation Conference, Institute of Electrical & Electronics Engineers, New York, NY, pp. 69-75.
18. Foo, Y.P. and Takefuji, Y. (1988), "Stochastic neural networks for solving job shop scheduling" part 1. Problem formulation and Part 2. Architecture and simulations", Proceedings of the IEEE 2nd International Conference on Neural Networks, San Diego, June, Institute of Electrical & Electronics Engineers, New York, NY, pp. 275-83.
19. Fox, M.S. and Smith, S.E (1984), "ISIS - a knowledge-based system for factory scheduling", Expert Systems, Vol. 1 No. 1, July, pp. 25-49.
20. Froeschl, K.A. (1993), "Two paradigms of combinatorial production scheduling" operations research and artificial intelligence", in Dorn, J. and Froeschl, K.A. (Eds), Scheduling of Production Processes, Ellis Horwood, Chichester, pp. 1-21.
21. Grant, T.Y. (1986), "Lessons for OR from AI" a scheduling case study", Journal of Operations Research Society, Vol. 37 No. 1, pp. 41-57.
22. Grant, H. and Clapp, C. (1988), "Making production scheduling more efficient helps control manufacturing costs and improve productivity", International Conference on Industrial Engineering, Institute of Industrial Engineers, Singapore.
23. Hecht-Nielsen, R. (1987), "Kolmogorov's mapping neural network existence theorem", Proceedings of 1st IEEE International Joint Conference of Neural Networks, Institute of Electrical & Electronics Engineers, New York, NY, PP. III-11-III-14.
24. Kempf, K., Russel, B., Sidhu, S. and Barrett, S. (1991), "AI-based schedulers in manufacturing practice" report of a panel discussion", AI Magazine, Vol. 11 No. 5, January, pp. 46-55.
25. Khoong, C.M. (1993), "The impact of scheduling research on production management", Proceedings of the 2nd International Conference on Computer Integrated Manufacturing - ICCIM '93, Vol. 1, World Scientific & Global Publications, Singapore, pp. 717-22.
26. Kleindorfer, G.B. and Ganeshan, R. (1993), "The philosophy of science and validation in simulation", Proceedings of the Winter Simulation Conference, Institute of Electrical & Electronics Engineers, New York, NY, pp. 50-7.
27. Koh, K.H., Ho, N.C. and De Souza, R. (1993), "Current approaches to job-shop scheduling", Proceedings of the 2nd International Conference on Computer Integrated Manufacturing - ICCIM '93, Vol. 1, World Scientific & Global Publications, Singapore, pp. 681-7.
28. Krahl, D. (1991), "Tutorial" scheduling manufacturing systems with FACTOR", Proceedings of the Winter Simulation Conference, Institute of Electrical & Electronics Engineers, New York, NY, pp. 128-31.
29. Law, A. (1994), "How to successfully simulate your system", Proceedings of Conference on New Directions in Simulation for Manufacturing and Communications, Operations Research Society of Japan, Tokyo, pp. 1-3.
30. Law, A. and Kelton, WD. (1991), Simulation Modelling and Analysis, 2nd ed., McGraw-Hill, New York, NY.
31. Lawrence, Y. and Andriola, P. (1992), "Three-step method evaluates neural networks for your application", EDNAsia, December, pp. 47-60.
32. Lee, W.H. (1991), "Application of artificial intelligence methodology in job-shop scheduling" a neural network approach", MEng., Thesis, National University of Singapore, Singapore.
33. Lilegdon, W.R. (1993), "Manufacturing decision making with FACTOR", Proceedings of the Winter Simulation Conference, Institute of Electrical & Electronics Engineers, New York, NY, pp. 159-64.
34. Lim, B.S., Khaw, J. and Lim, L. (1993), "Hybrid neural networks for scheduling in a group technology manufacturing cell", Proceedings of the 2nd International Conference on Computer Integrated Manufacturing - ICCIM '93, Vol. 2, World Scientific & Global Publications, Singapore, pp. 828-35.
35. Lo, Z.P. and Bavarian, B. (1991), "Scheduling with neural networks for flexible manufacturing systems", Proceedings of the International Conference on Robotics and Automation, Vol. 1, Computer Society Press, Washington, DC, pp. 818-23.
36. Lo, Z.P. and Bavarian, B. (1993), "Multiple job scheduling with artificial neural networks", Computers and Electrical Engineering, Vol. 19 No. 2, pp. 87-101.
37. MacCarthy, B.L. and Jou, P. (1993), "Set-up reduction through production scheduling", Proceedings of the 2nd International Conference on Computer Integrated Manufacturing - ICCIM '93, Vol. 1, World Scientific & Global Publications, Singapore, pp. 668-74.
38. Maren, A. J. (1990), "Multilayer feedforward neural networks I: delta rule learning", in Maren, A.J., Harsten, C.T. and Pap, R.M. (Eds), Handbook of Neural Computing Applications, Academic Press, New York, NY, pp. 85-105.
39. Maren, A.J., Jones, D. and Franklin, S. (1990), "Configuring and optimizing the back-propagation network", in Maren, A. J., Harsten, C.T. and Pap, R.M. (Eds), Handbook of Neural Computing Applications, Academic Press, New York, NY, pp. 233-49.
40. Montazeri, M. and Van Wassenhove, L.N. (1990), "Analysis of scheduling rules for an FMS", International Journal of Production Research, Vol. 28 No. 4, pp. 785-802.
41. Morito, S. and Lee, K.H. (1994), "An application of simulated annealing for an FMS dispatching priority problem", Proceedings of Conference on New Directions in Simulation for Manufacturing and Communications, Operations Research Society of Japan, Tokyo, pp. 197-203.
42. Musselman, K.J. (1993), "Guidelines for simulation project success", Proceedings of the Winter Simulation Conference, Institute of Electrical & Electronics Engineers, New York, NY, pp. 58-64.
43. Naylor, T.H. and Finger, J.M. (1967), "Verification of computer simulation models", Management Science, Vol. 14, pp. 92-101.
44. Neural Computing: A Technology Handbook for Professional II/Plus and Neural Works Explorer, Technology Publishing Group, Neural Ware, Inc., Pittsburgh, PA, 1993.
45. O'Keefe, RM., Widman, LE., Loparo, K.A. and Nielsen, N.R. (Eds) (1990), "The role of artificial intelligence in discrete-event simulation", Artificial Intelligence, Simulation, and Modelling, John Wiley & Sons, New York, NY, pp. 359-79.
46. Panwalker, S.S. and lskandar, W. (1997), "A survey of scheduling rules", Operations Research, Vol. 25 No. 1, pp. 45-61
47. Pritsker, A.B. and Yancey, D.P. (1991), "Total capacity management using simulation", Proceedings of the Winter Simulation Conference, Institute of Electrical & Electronics Engineers, New York, NY, pp. 348-55.
48. Rabelo, L.C. and Alptekin, S. (1989), "Integrating scheduling and control functions in computer integrated manufacturing using artificial intelligence", Computers and Industrial Engineering, Vol. 17, IEEE Computer Society Press, Washington, DC, pp. 101-06.
49. Rabelo, L.C. and Alptekin, S. (1992), "A hybrid neural and symbolic processing approach to flexible manufacturing systems scheduling" in Kandel, A. and Langholz, G. (Eds), Hybrid Architecture for Intelligent System, CRC Press, Boca Raton, FL, pp. 381-405.
50. Rabelo, L.C., Yih, Y, Jones, A. and Tsai, J.S. (1993), "Intelligent scheduling for flexible manufacturing systems", Proceedings of the IEEE International Conference on Robotics and Automation, Vol. 3, pp. 810-5.
51. Rodammer, EA. and White, K.P. (1989), "A recent survey of production scheduling", IEEE Transactions on Systems, Man and Cybernetics, Vol. 18 No. 6, pp. 841-51.
52. Rosenwinkel, M.T. and Rogers, P. (1993), "Simulation-based finite capacity scheduling: a case study", Proceedings of the Winter Simulation Conference, Institute of Electrical & Electronics Engineers, New York, NY, pp. 939-46.
53. Ruegsegger, S.M. (1993), "Intelligent scheduling optimization using a rule-based artificial neural network", Proceedings of IEEE National Aerospace and Electronics Conference, Vol. 2, Institute of Electrical & Electronics Engineers, New York, NY, pp. 800-6.
54. Sargent, R.G. (1992), "Validation and verification of simulation models", Proceedings of the Winter Simulation Conference, Institute of Electrical & Electronics Engineers, New York, NY, pp. 104-14.
55. Sereco, A.C., Roth, S.P., Williams, B.D. and Gilmore, J. (1986), "The GENSHED project: general scheduling knowledge base system", Final Report. Georgia Institute of Technology, February.
56. Sim, S.K., Yeo, K.T. and Lee, WH. (1994), "An expert neural network system for dynamic job shop scheduling", International Journal of Production Research, Vol. 32 No. 8, August, pp. 1759-73.
57. Surh, D.S. and Kim, K.I. (1994), "A simulation-based production scheduling system", Proceedings of Conference on New Directions in Simulation for Manufacturing and Communications, Operations Research Society of Japan, Tokyo, pp. 529-34.
58. Tan, C.K., Niew, B.C., Chua, T.J., Neo, S.H. and Ho, N.C. (1993), "A total integrated solution to finite capacity scheduling for manufacturing", Proceedings of the 2nd International Conference on Computer Integrated Manufacturing - IC CIM '93, World Scientific & Global Publications, Singapore, Vol. 1, pp. 710-16.
59. Wichmann, K.E. (1990), "Simulation-based production schedule generation", Production Planning and Control, Vol. 1 No. 3, pp. 179-89.
60. Wyman, F.P. (1991), "Common features of simulation based scheduling", Proceedings of the Winter Simulation Conference, Institute of Electrical & Electronics Engineers, New York, NY, pp. 341-7.
61. Yih, Y., Liang, T.P. and Moskowitz, H. (1993), "Robot scheduling in a circuit board production line: a hybrid OR/ANN approach", IIE Transactions, Operations Research Society of Japan, Tokyo, Vol. 25 No. 2, pp. 26-33.
62. Yih, Y, Rabelo, L.C. and Jones, A. (1994), "A hybrid AI/simulation framework for FMS scheduling", Proceedings of Conference on New Directions in Simulation for Manufacturing and Communications, Operations Research Society of Japan, Tokyo, pp. 204-10.
63. Yucesan, E. and Jacobson, S.H. (1992), "Building correct simulation models is difficult", Proceedings of the Winter Simulation Conference, Institute of Electrical & Electronics Engineers, New York, NY, pp. 783-9.
64. Zhang, C.S., Yan, P.F. and Chang, T. (1991), "Solving job-shop scheduling problem with priority using neural network", Proceedings of the IEEE International Joint Conference on Neural Networks, Institute of Electrical & Electronics Engineers, New York, NY, Vol. 2, pp. 1361-6.
65. Zhou, D.N., Cherkassky, V, Baldwin, TR. and Hong, D.W. (1990), "Scaling neural network for job-shop scheduling", Proceedings of the IEEE International Joint Conference on Neural Networks, Vol. 3, Institute of Electrical & Electronics Engineers, New York, NY, pp. 889-94.
66. Zhou, D.N., Cherkassky, V., Baldwin, T.R. and Olson, D.E. (1991), "A neural network approach to job-shop scheduling", IEEE Transactions on Neural Networks, Vol. 2 No. 1, January, pp. 175-9.