Title :
A Load-Balancing Dynamic Scheduling Algorithm under Machine Failure Conditions
Author :
Miao, Wenmin ; Li, Dongni ; Zhang, Wei
Author_Institution :
Sch. of Comput. Sci., Beijing Inst. of Technol., Beijing, China
Abstract :
A load-balancing dynamic scheduling (LBDS) algorithm is proposed in this paper, which is concentrated on the how-to-reschedule issue with interruptions of machine failures. It adjusts the original scheme based on the principle of balancing load and minimizing the makespan. Three rules are considered in our algorithm: (1) priority rule regarding makespan and due date, (2) priority rule regarding processing time and machine unused time segment, and (3) the rule that all machines will be added unused time segment if there is no matching one. The performance of this algorithm is compared with the traditional earliest-due-date-based scheduling strategy algorithms. Simulation results show that the proposed algorithm performs better in more balanced load and less changes to the original scheduling result.
Keywords :
dynamic scheduling; job shop scheduling; minimisation; resource allocation; system recovery; earliest due date based scheduling strategy; load-balancing dynamic scheduling algorithm; machine failure condition; machine unused time segment; priority rule; Automation; Delay; Dynamic scheduling; Electric breakdown; Heuristic algorithms; Job shop scheduling; Machine intelligence; Raw materials; Robust control; Scheduling algorithm; dynamic scheduling; load-balancing; machine failure;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.707