Title :
Simulation optimization using tabu search
Author :
Dengiz, Bema ; Alabas, Cigdem
Author_Institution :
Dept. of Ind. Eng., Gazi Univ., Ankara, Turkey
Abstract :
Investigation of the performance and operation of complex systems in manufacturing or other environments, analytical models of these systems become very complicated. Because of the complex stochastic characteristic of the systems, simulation is used as a tool to analyze them. The trust of such simulation analysis usually is to determine the optimum combination of factors that effect the considered system performance. The purpose of this study is to use a tabu search algorithm in conjunction with a simulation model of a JIT system to find the optimum number of kanbans
Keywords :
digital simulation; heuristic programming; optimisation; production control; search problems; JIT system; just in time system; kanbans; manufacturing; simulation optimization; stochastic characteristic; system performance; tabu search; Analytical models; Assembly; Circuit simulation; Design optimization; Genetic algorithms; Metamodeling; Performance analysis; Simulated annealing; Stochastic systems; Virtual manufacturing;
Conference_Titel :
Simulation Conference, 2000. Proceedings. Winter
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-6579-8
DOI :
10.1109/WSC.2000.899877
