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Modeling and an ILP-Based Algorithm Framework for the Slab Stack Shuffling Problem Considering Crane Scheduling

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2 Author(s)
Huizhi Ren ; Liaoning Key Lab. of Manuf. Syst. & Logistics, Northeastern Univ., Shenyang, China ; Lixin Tang

This paper studies the slab stack shuffling problem considering crane scheduling in the slab yard of iron and steel industries. An ILP-based algorithm framework is proposed for the problem, in which an ILP model is proposed to solve the slab selecting subproblem and a specified procedure is developed to detect whether there is a feasible crane schedule for the chosen slabs. Through a number of iterations, the optimum solution can be obtained. The experiment results show that the algorithm framework is effective and efficient.

Published in:

Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on  (Volume:2 )

Date of Conference:

5-6 June 2010