Abstract
Decisions on an overhaul schedule are often required by a dredging company in Shanghai because the fleet of dredges require regularly maintenance due to their heavy duty work. The decision on an overhaul schedule attempts to determine how the overhaul project completion time can be minimized. However, there are a number of constraints where jobs in the overhaul project have precedence relations, and human resources are limited. In addition, job duration times are fuzzy, and jobs may have several performance modes. Because of the complexity of computation, any exact approaches may be not viable. This paper proposes a fuzzy rule-based heuristic approach using the information available in the system. The approach developed here provides a fast scheduling result in such a complex decision, aiding readjustment of production in time. In addition, the approach also helps the company to save significant costs annually in decisions on overhaul projects.
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References
Bray, R.N.: The Dredging: A handbook for engineers, 2nd edn. Arnold, London (1996)
Kolisch, R.: Efficient priority rules for the resource-constrained project scheduling prob-lem. Journal of Operations Management 14(3), 179–192 (1996)
Demeulemeester, E.L., Herroelen, W.S.: Project Scheduling – A Research Handbook, Boston. Kluwer Academic Publishers, Dordrecht (2002)
Davis, E.W., Patterson, J.H.: A comparison of heuristic and optimum solutions in resource-constrained project scheduling. Management Science 21(8), 944–955 (1975)
Cooper, D.F.: Heuristics for scheduling resource-constrained projects: an experimental investigation. Management Science 22(11), 1186–1194 (1976)
Kolisch, R.: Efficient priority rules for the resource-constrained project scheduling prob-lem. Journal of Operations Management 14(3), 179–192 (1996)
Yager, R.R.: On a general class of fuzzy connectives. Fuzzy Sets and System 4, 235–242 (1981)
Lee, E.S., Li, R.J.: Comparison of fuzzy numbers based on the probability measure of fuzzy events. Computer and Mathematics with Applications 15, 887–896 (1987)
Campos, L., Munoz, A.: A subjective approach for ranking fuzzy numbers. Fuzzy Sets and Systems 29, 145–153 (1989)
Liou, T., Wang, J.: Ranking fuzzy numbers with integral value. Fuzzy Sets and Systems 54, 247–255 (1992)
Chen, S.J., Hwang, C.L.: Fuzzy Multiple Attribute Decision Making: Methods and Applications. Springer, New York (1992)
Yeh, C.-H., Willis, R.J., Deng, H., Pan, H.: Task oriented weighting in multi-criteria analysis. European Journal of Operational Research 119(1), 130–146 (1999)
Cheng, C.-H.: A new approach for ranking fuzzy numbers by distance method. Fuzzy Sets and Systems 95, 307–317 (1998)
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© 2004 Springer-Verlag Berlin Heidelberg
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Pan, H., Yeh, CH. (2004). A Rule-based Approach for Fuzzy Overhaul Scheduling. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30133-2_99
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DOI: https://doi.org/10.1007/978-3-540-30133-2_99
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23206-3
Online ISBN: 978-3-540-30133-2
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