Heuristic Methods for Job Shop Scheduling - Arul Zaini, Muhammad
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As a result, there are still some schedules that are not precise, causing a large make-span. In observations made on 5 products, the company requires a total production time (make-span) of 11 hours 54 minutes in completing production activities. In this research, scheduling evaluation is conducted to minimize make-span using the Active Schedule Generation algorithm, Non-delay Schedule Generation and Heuristic Schedule Generation Algorithm The approach used is to use a quantitative-comparative approach, namely research that compiles the calculation process to make comparisons between the…mehr

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Produktbeschreibung
As a result, there are still some schedules that are not precise, causing a large make-span. In observations made on 5 products, the company requires a total production time (make-span) of 11 hours 54 minutes in completing production activities. In this research, scheduling evaluation is conducted to minimize make-span using the Active Schedule Generation algorithm, Non-delay Schedule Generation and Heuristic Schedule Generation Algorithm The approach used is to use a quantitative-comparative approach, namely research that compiles the calculation process to make comparisons between the results of the actual process with these methods. Therefore, the Heuristic Schedule Generation algorithm method was chosen as the best method and can be applied in the company to minimize the make-span.
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Autorenporträt
My name is Muhammad Arul Zaini, I was born on 9th September 1996 in Indonesia. Since a child I was educated and living far from my parents until I graduated and got a master's degree in engineering. I have dedicated my life to the people around me since I was a teenager by joining educational institutions until now while writing several works.