DocumentCode :
3538998
Title :
Modelling and optimizing storage assignment in a steel slab yard
Author :
Kofler, Monika ; Beham, Andreas ; Vonolfen, Stefan ; Wagner, Stefan ; Affenzeller, Michael
Author_Institution :
Heuristic & Evolutionary Algorithms Lab., Univ. of Appl. Sci. Upper Austria, Hagenberg, Austria
fYear :
2012
fDate :
5-7 Sept. 2012
Firstpage :
101
Lastpage :
106
Abstract :
Steel slabs are intermediates in the production of sheets, plates or coils in the steel industry. In this paper we consider cold charge slabs which are stored in stacks on a slab yard for a couple of hours, days or weeks until they are assigned to a rolling schedule and retrieved. When a slab is not positioned on top of a stack, retrieval requires the movement, also called shuffling, of all slabs above. We introduce a new model formulation, suitable neighbourhood and perturbation operators and discuss strategies for optimizing slab yard assignments with respect to shuffles and travel distance in picking.
Keywords :
optimisation; scheduling; steel industry; storage; transportation; cold charge slabs; model formulation; perturbation operators; rolling schedule; shuffling; steel industry; steel slab yard; storage assignment optimization; travel distance; Casting; Coils; Optimization; Schedules; Slabs; Stacking; Steel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Logistics and Industrial Informatics (LINDI), 2012 4th IEEE International Symposium on
Conference_Location :
Smolenice
Print_ISBN :
978-1-4673-4520-0
Electronic_ISBN :
978-1-4673-4518-7
Type :
conf
DOI :
10.1109/LINDI.2012.6319469
Filename :
6319469
Link To Document :
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