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

fYear

2008

fDate

7-10 Dec. 2008

Firstpage

2176

Lastpage

2184

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/WSC.2008.4736317

Filename

4736317