Design of an intelligent manufacturing scheduling and control system using fuzzy logic: Sensitivity analysis and parameter optimization

Journal of Intelligent and Fuzzy Systems

Volumn 15, Issue 2, 2004, Pages 89-104

  Monfared, M A S ^a   Yang, J B ^b  

^a ALZAHRA UNIVERSITY   (Iran)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Fuzzy predictive; Intelligent manufacturing; Optimal control; Scheduling; Sensitivity analysis

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; FUZZY SETS; MANUFACTURE; OPTIMAL CONTROL SYSTEMS; OPTIMIZATION; SCHEDULING; SENSITIVITY ANALYSIS;

FUZZY PREDICTIVE; INTELLIGENT MANUFACTURE; PARAMETER OPTIMIZATION;

CONTROL SYSTEMS;

EID: 12944270285     PISSN: 10641246     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (26)

1. M.M. Abdelhameed and F. A. Tolbah, Design and Implementation of a Flexible Manufacturing Control System Using Neural Network, Int. J. Flex. Manuf. Sys. 14(3) (2002), 263-279.
2. M.S. Akturk and S. Ozkan, Integrated Scheduling and Tool Management in Flexible Manufacturing Systems, Int. J. Production Research 39(12) (2001), 2697-2722.
3. A. Artiba and E.H. Aghezzaf, An architecture of a multimodel system for planning and scheduling, Int. J. Computer Integrated Manufacturing 10(5) (1997), 380-393.
4. R.G. Askin and C.R. Standridge, Modelling And Analysis of Manufacturing Systems, (John Wiley & Sons), 1993.
5. B.K. Choi and B.H. Kim, MES (manufacturing execution system) architecture for FMS compatible to ERP (enterprise planning system), Int. J. Computer Integrated Manufacturing 15(3) (2002), 274-284.
6. R.K. Deb and R.F. Serfozo, Optimal Control of Batch Service Queues, Advances, Appl. Probability 5 (1973), 340-361.
7. V. Devedzic and D. Radovic, A Framework for Building Intelligent Manufacturing Systems? IEEE Transactions on Systems, Man, and Cybernetics, Part C - Applications and Reviews 29(3) (August 1999), 402-419.
8. A. Hambaba Robust hybrid architecture to signals from manufacturing and machine monitoring sensors, Journal of Intelligent and Fuzzy Systems 9 (Numbers 1-2) (2000), 29-41.
9. T.P. Hong and T.N. Chuang, Fuzzy scheduling on two-machine flow shop Journal of Intelligent and Fuuy Systems 6(4) (1998), 471-481.
10. R. Kalaputapu and M.J. Demetsky, Modeling Schedule Deviations of Buses Using Automatic Vehicle Location Data and Artificial Neural Networks, No. 1497, July 1995, pp. 44-52.
11. D. Little, R. Rollins, M. Peck and J.K. Porter, Integrated planning and scheduling in the engineer-to-order sector, Int. J. Computer Integrated Manufacturing 13(6) (2000), 545-554.
12. C. Lu, Feedback Control Real-Time Scheduling, PhD Thesis, Department of Computer Science & Electrical Engineering, University of Virginia, 2001.
13. K.N. Mckay, R.R. Safayeni and J.A. Buzacott, Job-shop shop scheduling theory: what is relevant?, Interfaces 18(84) (1988), 84-90.
14. Mesa, MES explained: a high level vision, White Paper 6, Manufacturing Execution Systems Association, Pittsburgh, PA, 1997.
15. F.H. Mitchell, Jr., CIM Systems, An Introduction to Computer Integarted Manufacturing, Prentice Hall, 1991.
16. M.A.S. Monfared and S.J. Steiner, Fuzzy Adaptive Scheduling and Control Systems, Journal of Fuzzy Sets and Systems (115) (2000), 231-246.
17. M.A.S. Monfared and J.B. Yang, A Multi Level Intelligent Scheduling and Control System for An Automated Flow Shop Manufacturing Environment, Int. J. of Production Research, (2004), in press.
18. J. Nogami, S. Nakasuka and T. Tanabe, Real-Time Decision Support for Air Traffic Management, Utilizing Machine Learning, Control Engineering Practice 4(8) (1996), 1129-1141.
19. O. Sapena and E. Onaindía, A planning and monitoring system for dynamic environments, Journal of Intelligent and Fuzzy Systems 12(3-4) (2002), 151-161.
20. A. Shaout and P. McAuliffe, Fuzzy load balancing in an industrial distributed system for job scheduling, Journal of Intelligent and Fuzzy Systems 8(3) (2000), 191-199.
21. F. A. Roadammer and K.P. White, A Recent Survey of Production Scheduling, IEEE Trans. on System, Man and Cybernetics 18(6) (Nov./Dec 1988), 841-851.
22. K. Steiglitz, An Introduction to Discrete Systems, John Wiley & Sons, Inc, 1974.
23. Tata, Manufacturing Execution Systems, A Concept Note, Tata Consultancy Services, India, 2002.
24. D. Trentesaux, P. Pesin and C. Tahan, Distributed Artificial Intelligence for FMS Scheduling, Control and Design Support, Journal of Intelligent Manufacturing 11(6) (2000), 573-589.
25. J.B. Yang, GA-Based Discrete Dynamic Programming Approach for Scheduling in FMS Environments, IEEE Transactions On Systems, Man, And Cybernetics-Part B: Cybernetics 31(5) (October 2001), 824-835.
26. H.J. Zimmermann, Fuzzy Set Theory- and Inference Mechanism, Mathematical Models for Decision Support, Edited by G. Mitra, NATO ASI Series, Springier-Verlag Berlin, Heidelberg F48, 1988.