A fuzzy model for load-oriented manufacturing control

International Journal of Production Economics

Volumn 104, Issue 2, 2006, Pages 502-513

  Bonfatti, M ^a   Caridi, M ^a   Schiavina, L ^b  

^a POLITECNICO DI MILANO   (Italy)

^b Edor Metodi Quantitavi   (Italy)

Author keywords

Expert systems; Fuzzy logic; Neural networks; Workload control

Indexed keywords

FUZZY SETS; JOB ANALYSIS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; SCHEDULING;

JOB SHOP SCHEDULING; MACHINE OUTPUT; MANUFACTURING CONTROL; WORKLOAD CONTROL;

PRODUCTION CONTROL;

EID: 33748756687     PISSN: 09255273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpe.2005.10.005     Document Type: Article

References (35)

1. Balasubramanian J., and Grossmann I.E. A novel branch and bound algorithm for scheduling flowshop plants with uncertain processing times. Computers and Chemical Engineering 26 (2002) 41-57
2. Bechte W. Theory and practice of load-oriented manufacturing control. International Journal of Production Research 26 3 (1988) 375-395
3. Bechte W. Load-oriented manufacturing control, just-in-time production for job-shops. Production Planning and Control 5 3 (1994) 292-307
4. Beskese A., Kahraman C., and Irani Z. Quantification of flexibility in advanced manufacturing systems using fuzzy concept. International Journal of Production Economics 89 1 (2004) 45-56
5. Bertrand, J.W.M., Wortmann, J.C., 1981. Production control and information systems for component-manufacturing shops. Dissertation, Elsevier, Amsterdam, The Netherlands.
6. Blackstone J.H., Phillips D.T., and Hogg G.L. A state-of-the-art survey of dispatching rules for manufacturing job-shop operations. International Journal of Production Research 20 1 (1982) 27-45
7. Castillo, L., Fdez.-Olivares, J., González., A., 2002. A temporal constraint based network temporal planner. Proceedings of the Workshop of the UK Planning and Scheduling Special Interest Group (PLANSIG 2002), pp. 99-109.
8. Cheng T.C., and Gupta M.C. Survey of scheduling research involving due date determination decisions. European Journal of Operational Research 38 2 (1989) 156-166
9. Dubois D., Fargier H., and Prade H. Fuzzy constraints in job-shop scheduling. Journal of Intelligent Manufacturing 6 (1995) 215-234
10. Gallo, S., Murino, T., Santillo, L., 1999. Time manufacturing prediction: preprocess model in neuro fuzzy expert system. Proceedings of ESIT '99-The European Symposium on Intelligent Techniques.
11. Haykin S. Neural Networks (1994), Prentice-Hall, Englewood Cliffs, NJ
12. Henrich P., Land M., and Gaalman G. Exploring applicability of the workload control concept. International Journal of Production Economics 90 2 (2004) 187-198
13. Johtela T., Smed J., Johnsson M., and Nevalainen O. Supporting production planning by production process simulation. Computer Integrated Manufacturing Systems 10 3 (2000) 193-203
14. Kaehler, S.D., 1998. Fuzzy Logic Tutorial. Encoder-The Newsletter of the Seattle Robotics Society, March.
15. Karsak E.E., and Kuzgunkaya O. A fuzzy multiple programming approach for the selection of a flexible manufacturing system. International Journal of Production Economics 79 2 (2002) 101-111
16. Klose A., Nürnberger A., Nauck D., and Kruse R. Data mining with neuro-fuzzy models. In: Kandel A., Bunke H., and Last M. (Eds). Data Mining and Computational Intelligence (2001), Physica-Verlag, Wurzburg 1-36
17. Kruse, R., Borgelt, C., Nauck, D., 1999. Fuzzy data analysis: challenges and perspectives. Proceedings of the IEEE International Conference on Fuzzy Systems 1999 (FUZZIEEE99), Seoul, pp. 1211-1216.
18. Land M.J., and Gaalman G.J.C. The performance of workload control concepts in job-shops: Improving the release method. International Journal of Production Economics 56-57 (1998) 347-364
19. Lin C.-T., and Lee C.-C. Neural Fuzzy Systems. A Neuro-Fuzzy Synergism to Intelligent Systems (1996), Prentice-Hall, New York
20. Luo X., Lee J., Leung H., and Jennings N.R. Prioritised fuzzy constraint satisfaction problems: axioms, instantiation and validation. Fuzzy Sets and Systems 136 2 (2003) 155-188
21. McCulloch W.S., and Pitts W. A logical calculus of ideas immanent in nervous activity. Bulletin of Mathematical Biophysics 5 (1943) 115-133
22. Monostori, L., Egresits, C., Hornyák, J., Viharos, Z. J., 1998. Soft computing and hybrid AI approaches to Intelligent manufacturing. Proceedings of the 11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, vol. 8, pp. 763-774.
23. Nauck D., Klawonn F., and Kruse R. Foundations of Neuro-Fuzzy Systems (1997), Wiley, Chichester
24. Oosterman B., Land M., and Gaalman G. The influence of shop characteristics on workload control. International Journal of Production Economics 68 1 (2000) 107-119
25. Panwalkar S.S., and Iskander W. A survey of scheduling rules. Operations research 25 1 (1977) 45-61
26. Ramasesh R. Dynamic job-shop scheduling: A survey of simulation Research. Omega 18 1 (1990) 43-57
27. Rojas R. Neural Networks-A Systematic Introduction (1993), Springer, Berlin, New York
28. Tatsiopoulos, I.P., 1983. A microcomputer-based interactive system for managing production and marketing in small component manufacturing firms using a hierarchical backlog control and lead time management methodology. Unpublished Ph.D. Dissertation, University of Lancaster.
29. Tickle A.B., Maire F., Bologna G., Andrews R., and Diederich J. Lessons from past, current issues and future research directions in extracting the knowledge embedded in artificial neural networks. In: Wermter S., and Sun R. (Eds). Hybrid Neural Systems (2000), Springer, Berlin 226-239
30. Wiendahl H.-P. Belastungsorientierte Fertigungssteuerung, Grundlagen, Verfahrensaufbau, Realisierung (1987), Hanser Verlag, Munich
31. Wiendahl H.-P. Load-oriented manufacturing control (1995), Springer, Berlin, Heidelberg
32. Wight O. Input/output control: a real handle on lead time. Production and Inventory Management 11 3 (1970) 9-31
33. Yang S., and Wang D. Constraint satisfaction adaptive neural network and heuristics combined approaches for generalized job-shop scheduling. IEEE Transactions on Neural Networks 11 2 (2000) 474-486
34. Zadeh L.A. Fuzzy sets. Information and Control 8 (1965) 338-353
35. Zadeh L.A. Outline of a new approach to the analysis of complex systems and decision processes. IEEE Transanctions on Systems, Man and Cybernetics SMC-3 1 (1973) 28-44