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PENJADWALAN FLOWSHOP UNTUK MEMINIMASI TOTAL TARDINESS MENGGUNAKAN METODE CROSS ENTROPY GENETIC ALGORITHM Studi kasus : CV. Star Perdana Teknik

Ardiansyah, Leo Rizki (2018) PENJADWALAN FLOWSHOP UNTUK MEMINIMASI TOTAL TARDINESS MENGGUNAKAN METODE CROSS ENTROPY GENETIC ALGORITHM Studi kasus : CV. Star Perdana Teknik. Undergraduate (S1) thesis, University of Muhammadiyah Malang.

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Abstract

Flowshop scheduling problem much studied by several researchers. One problem with scheduling is the delay in completing a job. In this study, we will implement the Cross Entropy Genetic Algorithm (CEGA) method to minimize the total delay of jobs with the flowshop criteria. In the literature the CEGA algorithm is widely used in the case of minimizing the makespan but still not used in the case of minimizing total tardiness. CEGA algorithm is a combination of Cross Entropy Algorithm which has a function to provide optimal sampling distribution and Genetic Algorithms that have functions to get new solutions. In some numeric experiments the proposed algorithm provides better performance than some algorithms.

Item Type: Thesis (Undergraduate (S1))
Student ID: 201410140311005
Keywords: Scheduling, Total Tardiness, Flowshop, Cross Entropy, Genetic Algorithm.
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions: Faculty of Engineering > Department of Industrial Engineering (26201)
Depositing User: CKO Repository
Date Deposited: 03 Jan 2019 04:08
Last Modified: 03 Jan 2019 04:08
URI : http://eprints.umm.ac.id/id/eprint/42845

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