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APPLICATION OF ANT COLONY OPTIMIZATION FOR EFFECTIVE SCHEDULING OF CLH PROCESSES IN BHEL

P, Pal Pandian and Aravindan, S. and Thiruvalluvar, M. and Asokan, P. (2006) APPLICATION OF ANT COLONY OPTIMIZATION FOR EFFECTIVE SCHEDULING OF CLH PROCESSES IN BHEL. Proceedings of the International Conference on Modeling and Simulation 2006 3 – 5 April 2006, Kuala Lumpur, Malaysia . p. 6.

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Abstract

Ant Colony Optimization (ACO) is a meta – heuristic proposed to derive approximate solution for computationally hard problems by emulating the natural behaviors of ants. We consider the problem of scheduling a number of jobs on a given machine against a restrictive common due date. One of the basic and significant problems, that a shop or a factory manager is encountered, is a suitable scheduling and sequencing of jobs on machines. One type of scheduling problem is job shop scheduling. There are different machines in a shop of which a job may require some or all these machines in some specific sequence. The objective is to minimize the makespan during the Constant Load Hanger (CLH) manufacturing processes. After optimizing the makespan, the job sequencing must be carried out for each machine. An ACO algorithm is developed with several specific features. We consider particularly the impact on existing scheduling and production system and qualitative improvements which results from the system’s implementation

Item Type:Article
Uncontrolled Keywords:Ant Colony Optimization, Job Shop Scheduling, makespan
Subjects:Publications > Publications by Faculty > Articles > Engineering
ID Code:1787
Deposited By:Knowledge Center Christ University
Deposited On:14 Dec 2011 13:41
Last Modified:30 Jul 2012 10:33

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