Analysis and Modeling of Flexible Manufacturing System
Journal: International Journal of Science and Research (IJSR) (Vol.7, No. 6)Publication Date: 2018-06-05
Authors : Adarsh Kumar Pandey; Shiv Kumar Tripathi;
Page : 1601-1608
Keywords : FMS; Taguchi philosophy; optimization; Genetic algorithm; Scheduling of jobs; simulation;
Abstract
The analysis and modeling of the flexible manufacturing system (FMS) consists of the planning of the system and the optimization of the FMS objectives. The flexible programming problems of the FMS (Flexible Manufacturing System) become extremely complex when it comes to taking into account frequent deviations in the design of the pieces of incoming jobs. This research focuses on efficiently programming the various incoming jobs in the system and maximizing the utilization and performance of the system, with machines equipped with different tools and tool magazines, but with multiple machines that can be assigned to a single operation. Jobs have been scheduled according to the shortest processing time (SPT) rule. The shortest time programming rule (SPT) is simple, fast and generally a superior rule in terms of minimizing the completion time through the system to minimize the average number of jobs in the system, generally lower stocks in process (less load congestion) and downstream downtime (increased resource utilization). The simulation is better than the experiment with the real system because the system does not yet exist and the system experiments are expensive, time consuming and too dangerous
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