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Deni Yuza Mahendra
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Humanities Computer Science & IT Education Industrial & Manufacturing Engineering Social Sciences

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APPLICATION OF HYBRID GENETIC ALGORITHM TO OPTIMIZE COMPLEX PRODUCTION SCHEDULING AT PT. XYZ Deni Yuza Mahendra
Journal of Scientech Research and Development Vol 6 No 1 (2024): JSRD, June 2024
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56670/jsrd.v6i1.406

Abstract

PT. Carton Scheduling XYZ Problems, Delays and Losses Haunt. PT. XYZ, a carton manufacturing company, is faced with obstacles in meeting consumer demand in a timely manner. This results in losses for companies and consumers. This problem originates from a production scheduling system that is not yet optimal, namely the FCFS system which prioritizes the order of product arrival without considering the duration of work. As a result, products with short lead times have to wait a long time in queues, causing long downtime on the factory floor. The solution to overcome this problem is the use of the genetic algorithm method, a heuristic search algorithm inspired by the process of biological evolution.
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