Heuristic Methods for Job Shop Scheduling - Zaini, Muhammad Arul
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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.
Autorenporträt
Me llamo Muhammad Arul Zaini, nací el 9 de septiembre de 1996 en Indonesia. Desde niño recibí educación y viví lejos de mis padres hasta que me gradué y obtuve una maestría en ingeniería. He dedicado mi vida a la gente que me rodea desde que era un adolescente, uniéndome a instituciones educativas hasta ahora, mientras escribía varias obras.