DocumentCode
2963376
Title
Simulation optimization for process scheduling through simulated annealing
Author
Cave, Alex ; Nahavandi, Saeid ; Kouzani, Abbas
Author_Institution
Sch. of Eng. Technol., Deakin Univ., Geelong, Vic., Australia
Volume
2
fYear
2002
fDate
8-11 Dec. 2002
Firstpage
1909
Abstract
This paper presents a simulation optimization of a real scheduling problem in industry, simulated annealing is introduced for this purpose. Investigation is performed into the practicality of using simulated annealing to produce high quality schedules. Results on the solution quality and computational effort show the inherent properties of the simulated annealing. It is shown that when using this method, high quality schedules can be produced within reasonable time constraints.
Keywords
digital simulation; production control; production engineering computing; simulated annealing; process scheduling; simulated annealing; simulation optimization; Computational modeling; Constraint optimization; Fixtures; Job shop scheduling; Optimization methods; Processor scheduling; Production; Scheduling algorithm; Simulated annealing; Time factors;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference, 2002. Proceedings of the Winter
Print_ISBN
0-7803-7614-5
Type
conf
DOI
10.1109/WSC.2002.1166489
Filename
1166489
Link To Document