Title :
Job-Shop Dynamic Scheduling Using Heuristic Immune Algorithm
Author :
Huo, Hong ; Yang, Shao-Dong
Author_Institution :
Sch. of Manage., Harbin Univ. of Commerce, Harbin, China
Abstract :
In view of the demands for production scheduling of modern manufacturing corporation, the Job-shop Dynamic Scheduling (JDS) model is originally set up based on the theory of resource optimization. Due to the complicated nature of the JDS, a framework Heuristic Immune Algorithm (HIA) for production scheduling is put forward. Finally, the method mentioned above is applied to solve the JDS of Shanghai Volksvagen, Automobile Co.Ltd., and the most optimal scheduling can be attained. The simulation results demonstrate that the Heuristic Immune Algorithm is feasible and effective for JDS.
Keywords :
dynamic scheduling; job shop scheduling; optimisation; dynamic scheduling; heuristic immune algorithm; job shop scheduling; resource optimization theory; Business; Dynamic scheduling; Heuristic algorithms; Job shop scheduling; Manufacturing; Optimal scheduling; Optimized production technology; Processor scheduling; Resource management; Scheduling algorithm;
Conference_Titel :
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4638-4
Electronic_ISBN :
978-1-4244-4639-1
DOI :
10.1109/ICMSS.2009.5305058
