Journal of Engineering and Management in Industrial System
Vol 3, No 1 (2015)

PENJADWALAN FLOW SHOP DENGAN PENERAPAN CROSS ENTROPY-GENETIC ALGORITHM (CEGA) UNTUK MEMINIMASI MAKESPAN

Hasan Bashori (Universitas Brawijaya)
Pratikto Pratikto (Universitas Brawijaya)
Sugiono Sugiono (Universitas Brawijaya)

Article Info

Publish Date
26 Mar 2015

Abstract

Abstract In this study done on leather shoe company that uses flow shop scheduling strategies. Where the purpose of this study is to minimize makespan is the total time needed to complete the entire job. This is done because of the large demand for leather shoes that exceeds the production capacity and production scheduling by the company based on intuition. In solving the production scheduling problem that occurs in the company, Cross Entropy algorithm used method-Genetic Algorithm (CEGA) to minimize the makespan. From the results of calculations with CEGA method sequences obtained by scheduling makespan value of 5822 seconds with an efficiency of 6.79% when compared with the method of the company with sebasar makespan value of 6246 seconds.

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Journal Info
Journal of Engineering and Management in Industrial System
Website

Abbrev

jemis

Publisher

Universitas Brawijaya

Subject

Industrial & Manufacturing Engineering

Description

Journal of Engineering and Management in Industrial System is a peer reviewed journal. The journal publishes original papers at the forefront of industrial and system engineering research, covering theoretical modeling, inventory, logistics, optimizations methods, artificial intelligence, bioscience ...