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Original research OPTIMIZE REACTIVE JOB SHOP SCHEDULE TO IMPROVE PRODUCTION THROUGH HEURISTIC METHODS (CASE STUDY AT HMMBI)Pages 39-44 Abstract
In most of the manufacturing units job shop scheduling is a difficult task due to the complexity of the system. If the company maintains good job shop scheduling, can save time and money. And can improve the utilization of the machine. The case study was conducted in Hibert Manufacturing and Machine Building Industry (HMMBI), for five jobs and five machines Reactive job shop schedule. most of the time the company scheduling methods is depending on the first come first serve principles the existing make-span of the jobs is high around 803 minutes, due to this there is low machine utilization and dissatisfaction of customer in the company to minimizing this problem we have to look different scheduling techniques by using LEKIN scheduling software and arena simulation software to show the existing scheduling system. The results indicate heuristic methods like Shifting Bottleneck /Tmax and others can reduce the make-span from 803 minutes to 707 minutes around 96 minutes reduce and the machine utilization sum can be increased from 1.9029 to 2.1736 around 0.2707=27.1%.
Keywords: Job shop scheduling, Makespan, Heuristic methods, LEKIN , and Arena.
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