DocumentCode :
2895142
Title :
Batching annealing operations to optimize queueing times and furnace efficiency: a simulation model
Author :
Lefrancois, P. ; Espérance, Pierre L. ; Turmel, Marc
Author_Institution :
Dept. Oper. et Syst. de Decision, Laval Univ., Ste-Foy, Que., Canada
fYear :
1991
fDate :
8-11 Dec 1991
Firstpage :
270
Lastpage :
279
Abstract :
Describes a simulation model representing the annealing operations in a rolling-mill facility. The model was developed using the discrete event simulation language SIMAN. The model integrates a user friendly interface through which the user interacts with the simulation model without programming or recompiling. The simulation model also integrates external subroutines to optimize the batching of jobs and their sequencing so as to minimize flow-times and lateness and maximize the annealing furnace efficiency. The optimization approach relies mainly on a data-driven adaptive estimation of the lot sizes based on a queuing model formulation
Keywords :
annealing; batch processing (industrial); control system analysis computing; discrete event simulation; furnaces; optimisation; production control; queueing theory; rolling mills; user interfaces; SIMAN; annealing operations; batching; data-driven adaptive estimation; discrete event simulation language; external subroutines; flow time minimization; furnace efficiency; lateness; lot sizes; queueing time optimization; rolling-mill; sequencing; simulation model; user friendly interface; Algorithms; Aluminum; Discrete event simulation; Furnaces; Lot sizing; Mechanical factors; Milling machines; Simulated annealing; User interfaces; Virtual manufacturing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference, 1991. Proceedings., Winter
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-0181-1
Type :
conf
DOI :
10.1109/WSC.1991.185624
Filename :
185624
Link To Document :
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