Research on Production Scheduling Problems in Process Industry Based on Ant Colony System

Abstract:

Article Preview

In order to improve the production of process industry, the ant colony system(ACS) was applied to the production scheduling problem. Based on the analysis of the production scheduling problem for process industry, a production scheduling model was established, whose goal was to obtain the shortest total process time. The search strategy, heuristic information rules, pheromone updating mechanism, process step starting time and detailed algorithm implementation of ACS were discussed. Using a practical production scheduling problem as an example, the established model and designed algorithm were applied to implement the scheduling simulation. The simulation results show that the scheduling model and algorithm are feasible, and have a better scheduling performance than the stochastic scheduling method, and can be applied to solve practical production scheduling problem for process industry.

Info:

Periodical:

Advanced Materials Research (Volumes 108-111)

Edited by:

Yanwen Wu

Pages:

519-524

DOI:

10.4028/www.scientific.net/AMR.108-111.519

Citation:

L. P. Zhang and Y. S. Zhang, "Research on Production Scheduling Problems in Process Industry Based on Ant Colony System", Advanced Materials Research, Vols. 108-111, pp. 519-524, 2010

Online since:

May 2010

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.