Title :
An experimental study of an iterative simulation-optimization algorithm for production planning
Author :
Irdem, Durmus Fatih ; Kacar, Necip Baris ; Uzsoy, Reha
Author_Institution :
Edward P. Fitts Dept. of Ind. & Syst. Eng., North Carolina State Univ., Raleigh, NC, USA
Abstract :
It is well known from queueing and simulation models that cycle times in capacitated production systems increase nonlinearly with resource utilization, which poses considerable difficulty for the conventional linear programming (LP) models used for this purpose. Hung and Leachman (1996) propose a highly intuitive iterative approach where a detailed simulation model of the production facility is used to estimate flow time parameters used in an LP model We examine the convergence of this method under different experimental conditions, and conclude that it is hard to determine precisely when the method converges.
Keywords :
iterative methods; linear programming; manufacturing systems; production planning; capacitated production systems; cycle times; flow time parameters; iterative simulation-optimization algorithm; linear programming; production planning; Computational modeling; Convergence; Fabrication; Iterative algorithms; Production facilities; Production planning; Production systems; Resource management; Semiconductor device modeling; Systems engineering and theory;
Conference_Titel :
Simulation Conference, 2008. WSC 2008. Winter
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-2707-9
Electronic_ISBN :
978-1-4244-2708-6
DOI :
10.1109/WSC.2008.4736317
