PENJADWALAN PRODUKSI HYBRID FLOW SHOP DENGAN ALGORITMA FIREFLY UNTUK MEMINIMASI MEAN TARDINESS (STUDI KASUS CV. DEFIX UNGGUL JAYA)
Main Author: | Almuttasim, Muh.Arafat |
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Format: | Thesis NonPeerReviewed Book |
Bahasa: | eng |
Terbitan: |
, 2019
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Subjects: | |
Online Access: |
http://eprints.umm.ac.id/45666/1/PENDAHULUAN.pdf http://eprints.umm.ac.id/45666/2/BAB%20I.pdf http://eprints.umm.ac.id/45666/3/BAB%20II.pdf http://eprints.umm.ac.id/45666/4/BAB%20III.pdf http://eprints.umm.ac.id/45666/5/BAB%20IV.pdf http://eprints.umm.ac.id/45666/6/BAB%20V.pdf http://eprints.umm.ac.id/45666/7/BAB%20VI.pdf http://eprints.umm.ac.id/45666/8/LAMPIRAN.pdf http://eprints.umm.ac.id/45666/ |
ctrlnum |
45666 |
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fullrecord |
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(STUDI KASUS : CV. DEFIX UNGGUL JAYA)</title><creator>Almuttasim, Muh.Arafat</creator><subject>HD28 Management. Industrial Management</subject><description>The purpose of this study was to minimize meanterdiness. By implementing the metaheuristic method, it is a firefly algorithm that is used to determine the sequence of jobs. Which is applied to hybrid flow shop with 4 stages. Where on stage 2.3 has the same two types of machines and in stage 4 has the same 3 machines. The results of the study can show that the firefly algorithm is considered better than the EDD algorithm and FCFS.</description><date>2019-02</date><type>Thesis:Thesis</type><type>PeerReview:NonPeerReviewed</type><type>Book:Book</type><language>eng</language><identifier>http://eprints.umm.ac.id/45666/1/PENDAHULUAN.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://eprints.umm.ac.id/45666/2/BAB%20I.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://eprints.umm.ac.id/45666/3/BAB%20II.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://eprints.umm.ac.id/45666/4/BAB%20III.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://eprints.umm.ac.id/45666/5/BAB%20IV.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://eprints.umm.ac.id/45666/6/BAB%20V.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://eprints.umm.ac.id/45666/7/BAB%20VI.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://eprints.umm.ac.id/45666/8/LAMPIRAN.pdf</identifier><identifier> Almuttasim, Muh.Arafat (2019) PENJADWALAN PRODUKSI HYBRID FLOW SHOP DENGAN ALGORITMA FIREFLY UNTUK MEMINIMASI MEAN TARDINESS (STUDI KASUS : CV. DEFIX UNGGUL JAYA). Bachelors Degree (S1) thesis, University of Muhammadiyah Malang. </identifier><recordID>45666</recordID></dc>
|
language |
eng |
format |
Thesis:Thesis Thesis PeerReview:NonPeerReviewed PeerReview Book:Book Book |
author |
Almuttasim, Muh.Arafat |
title |
PENJADWALAN PRODUKSI HYBRID FLOW SHOP DENGAN ALGORITMA FIREFLY UNTUK MEMINIMASI MEAN TARDINESS
(STUDI KASUS : CV. DEFIX UNGGUL JAYA) |
title_sub |
CV. DEFIX UNGGUL JAYA) |
publishDate |
2019 |
topic |
HD28 Management. Industrial Management |
url |
http://eprints.umm.ac.id/45666/1/PENDAHULUAN.pdf http://eprints.umm.ac.id/45666/2/BAB%20I.pdf http://eprints.umm.ac.id/45666/3/BAB%20II.pdf http://eprints.umm.ac.id/45666/4/BAB%20III.pdf http://eprints.umm.ac.id/45666/5/BAB%20IV.pdf http://eprints.umm.ac.id/45666/6/BAB%20V.pdf http://eprints.umm.ac.id/45666/7/BAB%20VI.pdf http://eprints.umm.ac.id/45666/8/LAMPIRAN.pdf http://eprints.umm.ac.id/45666/ |
contents |
The purpose of this study was to minimize meanterdiness. By implementing the metaheuristic method, it is a firefly algorithm that is used to determine the sequence of jobs. Which is applied to hybrid flow shop with 4 stages. Where on stage 2.3 has the same two types of machines and in stage 4 has the same 3 machines. The results of the study can show that the firefly algorithm is considered better than the EDD algorithm and FCFS. |
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IOS4109.45666 |
institution |
Universitas Muhammadiyah Malang |
institution_id |
136 |
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library:university library |
library |
Perpustakaan Universitas Muhammadiyah Malang |
library_id |
546 |
collection |
UMM Institutional Repository |
repository_id |
4109 |
city |
MALANG |
province |
JAWA TIMUR |
repoId |
IOS4109 |
first_indexed |
2019-05-07T01:47:59Z |
last_indexed |
2019-05-07T01:47:59Z |
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dc |
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1675924511855214592 |
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17.538404 |