Modelling of FMS control policy: AIS-based fuzzy expert system

International Journal of Industrial and Systems Engineering

Volumn 8, Issue 1, 2011, Pages 38-60

  Prakash, Anuj ^a   Deshmukh, S G ^a,b  

^a INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

^b ABV INDIAN INSTITUTE OF INFORMATION TECHNOLOGY AND MANAGEMENT   (India)

Author keywords

AIS; Artificial immune system; Control policy; Expert system; Flexible manufacturing system; FMS; Fuzzy

Indexed keywords

ARTIFICIAL INTELLIGENCE; EXPERT SYSTEMS; FERMIUM; IMMUNE SYSTEM;

ARTIFICIAL IMMUNE SYSTEM; CONTROL POLICY; CONTROLLING POLICIES; FUZZY; FUZZY EXPERT SYSTEMS; MATHEMATICAL RELATIONSHIP; PERFORMANCE MEASURE; PRODUCTION ENVIRONMENTS;

FLEXIBLE MANUFACTURING SYSTEMS;

EID: 79959630163     PISSN: 17485037     EISSN: 17485045     Source Type: Journal    
DOI: 10.1504/IJISE.2011.040765     Document Type: Article

References (64)

1. Ada, G.L. and Nossal, G.J.V. (1987) 'The clonal selection theory', Scientific Selection, Vol. 257, No. 2, pp.50-57.
2. Aized, T., Takahashi, K., Hagiwara, I. and Morimura, H. (2008) 'Resource breakdown modelling and performance maximisation of a multiple product flexible manufacturing system', Int. J. Industrial Systems and Engineering, Vol. 3, No. 3, pp.324-347.
3. Askin, G.R. and Standridge, R.C. (1993) Modeling and Analysis of Manufacturing Systems. Canada: John Wiley & Sons, pp.152-153.
4. Bagchi, U. (1989) 'Simultaneous minimization of mean and variation of flow and waiting time in single machine system', Operation Research, Vol. 37, pp.118-125.
5. Baker, K.R. (1974) Introduction to Sequencing and Scheduling. New York: Wiley.
6. Bersini, H. and Varela, F.J. (1991) 'Hints for adaptive problem solving gleaned from immune networks', In H. Shwefel and R. Manner (Eds.), Lecture Notes in Computer Science, Vol. 496, Berlin, Germany: Springer Verlag, pp.343-354.
7. Bilge, U., Firat, M. and Albey, E. (2008) 'A parametric fuzzy logic approach to dynamic part routing under full routing flexibility', Computers and Industrial Engineering, Vol. 55, No. 1, pp.15-33.
8. Carse, B., Fogarty, T.C. and Munro, A. (1996) 'Evolving fuzzy rule based controllers using genetic algorithms', Fuzzy Sets and Systems, Vol. 80, pp.273-293. (Pubitemid 126667427)
9. Cha, Y. and Jung, M. (2003) 'Satisfaction assessment of multi objective schedules using neural fuzzy methodology', Int. J. Production Research, Vol. 41, No. 8, pp. 1831-1849.
10. Conway, R.W., Maxwell, W.L. and Miller L.W. (1967) Theory of Scheduling. Reading: Addison-Wesley.
11. Cutello, V. and Nicosia, G. (2002) 'An immunological approach to combinatorial optimization problems', LNCS, Vol. 2527, pp.361-370.
12. Cutello, V., Nicosia, G. and Pavone, M. (2003) 'A hybrid immune algorithm with information gain for the graph coloring problem', Genetic Evolutionary Computation Conference (GECCO 2003), Chicago, Illinois, USA, pp.171-182.
13. Dallery, Y. and Stecke, K.E. (1990) 'On the optimal allocation of servers and workloads in closed queuing networks', Operations Research, Vol. 37, pp.694-703. (Pubitemid 20733651)
14. DeCastro, L.N. and Timmis, J. (2002) 'Artificial immune system: a novel paradigm to pattern recognition', ANNIS, Vol. 8, pp 67-84.
15. DeCastro, L.N. and Vonzuben, F.J. (2001) 'aiNet: an artificial immune network for data analysis', In A.H. Abbass, R.A. Sarker and C.S. Newton (Eds.), Data Mining: A Heuristic Approach. USA: Idea Group Publishing.
16. DeCastro, L.N. and Vonzuben, F.J. (2002) 'Learning and optimization using clonal selection principle', IEEE Transactions on Evolutionary Computation, Vol. 6, No. 3, pp.239-251. (Pubitemid 34867248)
17. Dulluri, S., Mahesh,V. and Rao, C.S.P. (2009) 'A heuristic for priority based scheduling in a turbine manufacturing job-shop', Int. J. Industrial and Systems Engineering, Vol. 3, No. 6, pp.625-643.
18. Dweiri, F. and Meier, F.A. (1996) 'Application of fuzzy decision making in facilities layout planning', Int. J. Production Research, Vol. 34, No. 11, pp.3207-3225. (Pubitemid 126713456)
19. Farmer, J.D., Packard, N.H. and Perelson, A.S. (1986) 'The immune system, adaptation and machine learning', Physica D, Vol. 22, pp.187-204.
20. Forrest, S., Javornik, B., Smith, R.E. and Perelson, A.S. (1993) 'Using genetic algorithms to explore pattern recognition in the immune system', Evolutionary Computation, Vol. 1, No. 3, pp.191-211.
21. Groover, M.P. (2002) Automation, Production Systems, and Computer Integrated Manufacturing. London: Prentice Hall International, Inc.
22. Haddock, J. and O'Keefe, R.M. (1990) 'Using artificial intelligence to facilitate manufacturing system simulation', CIE, Vol. 18, No. 3, pp.275-283.
23. Hart, E. and Timmis, J. (2008) 'Application areas of AIS: the past, the present and the future', Applied Soft Computing, Vol. 8, No. 1, pp.191-201. (Pubitemid 47374556)
24. Karsak, E.E. (2002) 'Distance based fuzzy MCDM approach for evaluating flexible manufacturing system alternatives', Int. J. Production Research, Vol. 40, No. 13, pp.3167-3181. (Pubitemid 35019434)
25. Kim, Y.D. and Yano, C.A. (1994) 'A new branch and bound algorithm for loading problems in flexible manufacturing system', Int. J. Flexible Manufacturing Systems, Vol. 6, pp.361-382.
26. Kumar, S.N. and Sridharan, R. (2009) 'Simulation modeling and analysis of part and tool flow control decisions in a flexible manufacturing system', Robotics and Computer-Integrated Manufacturing, Vol. 25, Nos. 4-5, pp.829-838.
27. Lee, C.C. (1990) 'Fuzzy logic in control systems: fuzzy logic control - Part I & II', IEEE Transactions on Systems, Man, and Cybernetics, Vol. 20, pp.404-435.
28. Lee, K.K. (2008) 'Fuzzy rule generation for adaptive scheduling in a dynamic manufacturing environment', Applied Soft Computing, Vol. 8, No. 4, pp.1259-1304.
29. Lenstra, J.K. (1979) Sequencing by Enumerative Methods. Amsterdam: Mathematisch Centrum.
30. Li, D.C., Wu, C.S., Tsai, T. and Chang, F.M. (2006) 'Using mega-fuzzification and data trend estimation in small data set learning for early FMS scheduling knowledge', Computers and Operations Research, Vol. 33, No. 6, pp.1857-1869. (Pubitemid 41525714)
31. Lin, K.S. (1983) 'Hybrid algorithm for sequencing with bi criterion', Journal of Optimization Theory and Application, Vol. 38, pp.105-124.
32. Mamdani, E.H. (1974) 'Applications of fuzzy algorithms for simple dynamic plant', IEE Proceedings, Vol. 121, pp.1585-1588.
33. Mamdani, E.H. and Gains, B.R. (1981) Fuzzy Reasoning and Its Applications. New York: Academic Press.
34. Montazeri, M. and Van Wassenhove, L.N. (1990) 'Analysis of scheduling rules for an FMS', Int. J. Production Research, Vol. 28, No. 4, pp.785-802. (Pubitemid 20675246)
35. Nelson, R.T., Sarin, R.K. and Daniels, R.L. (1986) 'Scheduling with multiple performance measures: the one machine case', Management Science, Vol. 32, pp.464-479.
36. Nicosia, G., Castiglione, F. and Motta, S. (2001) 'Pattern recognition by primary and secondary response of an artificial immune system', Theory in Biosciences, Vol. 120, No. 2, pp.93-106. (Pubitemid 32938583)
37. Nossal, G.J.V. (1993) 'The molecular and cellular basis of affinity maturation in the antibody response', Cell, Vol. 68, pp.1-2.
38. Perelson, A.S. (1989) 'Immune network theory', Immunological Reviews, Vol. 110, pp.5-36. (Pubitemid 19216007)
39. Ramesh, R. and Cary, J.M. (1989) 'Multicriteria job shop scheduling', Computers and Industrial Engineering, Vol. 17, pp.597-602.
40. Raoot, A.D. and Rakshit, A. (1991) 'A fuzzy approach to facilities layout planning', Int. J. Production Research, Vol. 29, pp.835-857.
41. Raoot, A.D. and Rakshit, A. (1993) 'A linguistic pattern approach for multiple criteria facility layout planning', Int. J. Production Research, Vol. 31, pp.203-222. (Pubitemid 23619839)
42. Sakawa, M. and Kubota, R. (2000) 'Fuzzy programming for multi objective job shop scheduling with fuzzy processing time and fuzzy due date through genetic algorithm', European Journal of Operational Research, Vol. 120, pp.393-407. (Pubitemid 30542643)
43. Sen, T., Raizaheh, F.M.E. and Dileepan, P. (1988) 'A branch and bound approach to the bicriterion scheduling problem involving total flow time and range of lateness', Management Science, Vol. 34, pp.254-260.
44. Shinichi, N. and Taketoshi, Y. (1992) 'Dynamic scheduling system utilizing machine learning as a knowledge acquisition tool', Int. J. Production Research, Vol. 30, pp.411-431.
45. Shiue, Y-R. and Su, C.T. (2003) 'An enhanced knowledge representation for decision tree based learning adaptive scheduling', Int. J. Computer Integrated Manufacturing, Vol. 16, pp.48-60.
46. Sieden, P.E. and Celada, F. (1992) 'A model for simulating cognate recognition and response in the immune system', Journal of Theoretical Biology, Vol. 158, pp.329-357.
47. Siemiatkowski, M. and Przybylski, W. (2006) 'Simulation studies of process flow with in-line part inspection in machining cells', Journal of Materials Processing Technology, Vol. 171, No. 1, pp.27-34. (Pubitemid 41815157)
48. Su, C.T. and Shiue, Y-R. (2003) 'Intelligent scheduling controller for shop floor control systems: a hybrid genetic algorithm/decision tree learning approach', Int. J. Production Research, Vol. 41, No. 2, pp.2619-2641.
49. Sumar, R.R., Coelho, A.A.R. and Coelho, L.D.S. (2009) 'Use of an artificial immune network optimization approach to tune the parameters of a discrete variable structure controller', Expert Systems with Applications, Vol. 36, No. 3, pp.5009-5015.
50. Tan, K.C., Goh, C.K., Mamun, A.A. and Ei, E.Z. (2008) 'An evolutionary artificial immune system for multi-objective optimization', European Journal of Operational Research, Vol. 187, No. 2, pp.371-392. (Pubitemid 350102850)
51. Thrift, P. (1991) Fuzzy Logic Synthesis with Genetic Algorithms, Conference on Genetic Algorithms (ICGA). San Diego, CA, pp. 509-513.
52. Tiwari, M.K., Hazarika, B., Vidyarthi, N.K., Jaggi, P. and Mukhopadhyay, S.K. (1997) 'A heuristic solution approach to the machine loading problem of FMS and its Petrinet model', Int. J. Production Research, Vol. 35, pp.2269-2284. (Pubitemid 127549723)
53. Tiwari, M.K. and Roy, D. (2002) 'Application of an evolutionary fuzzy system for the estimation of workforce deployment and cross training in an assembly environment', Int. J. Production Research, Vol. 40, No. 18, pp.4651-4674.
54. Van Wassenhove, L.N. and Baker, K.R. (1982) 'A bicriterion approach to time/cost trade offs in sequencing', European Journal of Operational Research, Vol. 11, pp.48-54.
55. Wang, C.H., Hong, T.P. and Tseng, S.S. (1998) 'Integrating fuzzy knowledge by genetic algorithms', IEEE Transactions on Evolutionary Computation, Vol. 2, pp.138-149.
56. Wilhelm, M.R., Karwowski, W. and Evans, G.W. (1987) 'A fuzzy set approach to lay pout analysis', Int. J. Production Research, Vol. 25, pp.1431-1450.
57. Wu, S.D. and Wysk, R.A. (1989) 'An application of discrete event simulation to on line control and scheduling in flexible manufacturing', Int. J. Production Research, Vol. 27, No. 9, pp.1603-1623.
58. Yuan, Y. and Zhuang, H. (1996) 'A genetic algorithm for generating fuzzy classification rules', Fuzzy Sets and Systems, Vol. 84, pp.1-19. (Pubitemid 126682897)
59. Zadeh, L.A. (1965) 'Fuzzy sets', Information and Control, Vol. 8, pp.338-353.
60. Zadeh, L.A. (1968) 'Probability measures of fuzzy events', Journal of Mathematical Analysis and Applications, Vol. 23, pp.4221-4227.
61. Zadeh, L.A. (1973) 'Outline of a new approach to the analysis of complex systems and decision processes', IEEE Transactions on System, Man, and Cybernetics, Vol. SMC-3, pp.28-44.
62. Zadeh, L.A. (1975) 'The concept of a linguistic variable and its application to approximate reasoning-I & II', Information Sciences, Vol. 8, pp.199-249.
63. Zadeh, L.A. (1976) 'The concept of a linguistic variable and its application to approximate reasoning-III', Information Sciences, Vol. 9, pp.43-80.
64. Zadeh, L.A. (1978) 'PRUF - a meaning representation language for natural languages', Int. J. Man-Machine Studies, Vol. 10, pp.395-460. (Pubitemid 9423101)