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All Journal Heuristic Charity : Jurnal Pengabdian Masyarakat ETAM: Jurnal Pengabdian kepada Masyarakat JPM-AKA
Mario Sarisky Dwi Ellianto
Politeknik 17 Agustus 1945 Surabaya
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Physics Social Sciences Other

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Journal : Heuristic

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PENJADWALAN FLOW SHOP DENGAN PENDEKATAN CROSS ENTROPY-GENETIC ALGORITHM UNTUK MENURUNKAN MAKESPAN PADA PEMBUATAN RODA GIGI Widodo, Dian Setiya; Ellianto, Mario Sarisky Dwi
Heuristic Vol 12 No 02 (2015)
Publisher : Fakultas Teknik Universitas 17 Agustus 1945 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30996/he.v12i02.629

Abstract

Flow shop is the process of determining the sequence of jobs that have the same product path. While the flow-shop scheduling takes assumption that a number of jobs that each has the same machine work sequence. The problems faced by com-panies, namely the high demand and yet the existence of a good scheduling planning resulted in the company should be able to optimize sche-duling job. One of the ways to solve these problems is by minimizing the Makespan. This research will solve the problem regarding to the flow shop scheduling by using cross entropy-genetic algorithm (CEGA) method to minimize Makespan. The technique that is used to solve the problem is by comparing the result of the application of existing methods in the company with the proposed method (CEGA). To support the application of CEGA used MATLAB software. Finally known that the results CEGA can give optimal solution, Makespan values obtained for 10829 seconds. So far, it was more effective than the method that used at the firm with Makespan efficiency by 10.06%.Keywords: Flow Shop, Scheduling, Cross Entropy-Genetic Algorithm, Makespan.
Co-Authors Arief, Diana Ross Hermiyati, Indri Isananto Winursito, Isananto Iswahyuni Listyalina, Latifah Nurwijayanti Pambudi, Wisnu Pujiyanto, Risang Ratnaningsih, Wahyu Ratri Retno Utami RR. Ella Evrita Hestiandari Satwikanitya, Pani Suharyanto Supomo Supomo Suwarno, Yuli Syahbani, Muhammad Wahyu Uma Fadzilia Arifin, Uma Fadzilia Wibowo, Midarto Dwi Widodo, Dian Setiya