A Hybrid Modeling for Continuous Casting Scheduling Problem

Fazel Zarandi, M. H.; Kashani Azad, F.; Karimi Kashani, A. H.

doi:10.22060/miscj.2017.11583.4946

A Hybrid Modeling for Continuous Casting Scheduling Problem

Document Type : Research Article

Authors

Dept. of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran

10.22060/miscj.2017.11583.4946

Abstract

This paper deals with a multi-agent-based interval type-2 fuzzy (IT2F) expert system
for scheduling steel continuous casting. Continuous caster scheduling is a complex and extensive
process that needs expert staff. In this study, a distributed multi-agent-based structure is proposed as a
solution. The agents used herein can cooperate with each other via various communication protocols.
To facilitate such communication, an appropriate negotiation protocol (i.e., contract net protocol)
is proposed. The due dates specified by expert staff are represented by IT2F membership functions
(MFs). As a part of the objective functions, a simple procedure is proposed to calculate the total
earliness and tardiness penalty when the due date’s MFs are IT2F. The proposed hybrid multi-agentbased
system combines the multi-agent systems with type-2 fuzzy concepts which conforms to the
real-world continuous casting problem.

Highlights

[1] D. Ouelhadj, A multi-agent system for the integrated dynamic scheduling of steel production, University of Nottingham, 2003.

[2] P.I. Cowling, D. Ouelhadj, S. Petrovic, Dynamic scheduling of steel casting and milling using multi-agents, Production Planning & Control, 15(2) (2004) 178-188.

[3] Y. Li, J.-Q. Zheng, S.-L. Yang, Multi-agent-based fuzzy scheduling for shop floor, The International Journal of Advanced Manufacturing Technology, 49(5) (2010) 689-695.

[4] M.F. Zarandi, P. Ahmadpour, Fuzzy agent-based expert system for steel making process, Expert systems with applications, 36(5) (2009) 9539-9547.

[5] O. Castillo, P. Melin, J. Kacprzyk, W. Pedrycz, Type-2 fuzzy logic: theory and applications, in: Granular Computing, 2007. GRC 2007. IEEE International Conference on, IEEE, 2007, pp. 145-145.

[6] N.N. Karnik, J.M. Mendel, Operations on type-2 fuzzy sets, Fuzzy sets and systems, 122(2) (2001) 327-348.

[7] J.M. Mendel, R.B. John, Type-2 fuzzy sets made simple, IEEE Transactions on fuzzy systems, 10(2) (2002) 117-127.

[8] M.F. Zarandi, R. Gamasaee, Type-2 fuzzy hybrid expert system for prediction of tardiness in scheduling of steel continuous casting process, Soft Computing, 16(8) (2012) 1287-1302.

[9] Q. Liang, J.M. Mendel, Interval type-2 fuzzy logic systems: theory and design, IEEE Transactions on Fuzzy systems, 8(5) (2000) 535-550.

[10] J. Dorn, W. Slany, A flow shop with compatibility constraints in a steelmaking plant, na, 1994.

[11] J. Dorn, Iterative improvement methods for knowledge-based scheduling, AI communications, 8(1) (1995) 20-34.

[12] F. Liu, J.M. Mendel, An interval approach to fuzzistics for interval type-2 fuzzy sets, in: Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International, IEEE, 2007, pp. 1-6.

[13] B. Lally, L. Biegler, H. Henein, A model for sequencing a continuous casting operation to minimize costs, Mathematical Modelling of Materials Processing Operations, (1987) 1157-1172.

[14] L. Tang, J. Liu, A. Rong, Z. Yang, A mathematical programming model for scheduling steelmaking-continuous casting production, European Journal of Operational Research, 120(2) (2000) 423-435.

[15] S.Y. Chang, M.-R. Chang, Y. Hong, A lot grouping algorithm for a continuous slab caster in an integrated steel mill, Production planning & control, 11(4) (2000) 363-368.

Keywords

References