Pemodelan Dan Simulasi Sistem Produksi Batch Menggunakan Batas Kendali Optimal Dan Logika Kabur

To minimize the production cost, the batch size of a batch production system has to be maintained based on a certain criterion, such as optimal control limit. The optimal batch size of the optimal control limit procedure is calculated using the expected continuously discounted cost. On the other han...

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Main Author: Perpustakaan UGM, i-lib
Format: Article NonPeerReviewed
Published: [Yogyakarta] : Universitas Gadjah Mada 2004
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Online Access:https://repository.ugm.ac.id/23050/
http://i-lib.ugm.ac.id/jurnal/download.php?dataId=5981
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spelling id-ugm-repo.230502014-06-18T00:28:40Z https://repository.ugm.ac.id/23050/ Pemodelan Dan Simulasi Sistem Produksi Batch Menggunakan Batas Kendali Optimal Dan Logika Kabur Perpustakaan UGM, i-lib Jurnal i-lib UGM To minimize the production cost, the batch size of a batch production system has to be maintained based on a certain criterion, such as optimal control limit. The optimal batch size of the optimal control limit procedure is calculated using the expected continuously discounted cost. On the other hand, fuzzy logic has been successfully used on many applications and commercial products. The logic is capable to control and make decisions with smooth and gradual transition characteristics. In this paper, modeling and simulation of a batch production system that combine a fuzzy logic approach and the optimal control limit is proposed. The costumer data are used to produce the optimal batch size. Result shows that there is a possibility of applying this approach to an integrated production scheduling system. Keywords: batch size, optimal control limit, fuzzy logic [Yogyakarta] : Universitas Gadjah Mada 2004 Article NonPeerReviewed Perpustakaan UGM, i-lib (2004) Pemodelan Dan Simulasi Sistem Produksi Batch Menggunakan Batas Kendali Optimal Dan Logika Kabur. Jurnal i-lib UGM. http://i-lib.ugm.ac.id/jurnal/download.php?dataId=5981
institution Universitas Gadjah Mada
building UGM Library
country Indonesia
collection Repository Civitas UGM
topic Jurnal i-lib UGM
spellingShingle Jurnal i-lib UGM
Perpustakaan UGM, i-lib
Pemodelan Dan Simulasi Sistem Produksi Batch Menggunakan Batas Kendali Optimal Dan Logika Kabur
description To minimize the production cost, the batch size of a batch production system has to be maintained based on a certain criterion, such as optimal control limit. The optimal batch size of the optimal control limit procedure is calculated using the expected continuously discounted cost. On the other hand, fuzzy logic has been successfully used on many applications and commercial products. The logic is capable to control and make decisions with smooth and gradual transition characteristics. In this paper, modeling and simulation of a batch production system that combine a fuzzy logic approach and the optimal control limit is proposed. The costumer data are used to produce the optimal batch size. Result shows that there is a possibility of applying this approach to an integrated production scheduling system. Keywords: batch size, optimal control limit, fuzzy logic
format Article
NonPeerReviewed
author Perpustakaan UGM, i-lib
author_facet Perpustakaan UGM, i-lib
author_sort Perpustakaan UGM, i-lib
title Pemodelan Dan Simulasi Sistem Produksi Batch Menggunakan Batas Kendali Optimal Dan Logika Kabur
title_short Pemodelan Dan Simulasi Sistem Produksi Batch Menggunakan Batas Kendali Optimal Dan Logika Kabur
title_full Pemodelan Dan Simulasi Sistem Produksi Batch Menggunakan Batas Kendali Optimal Dan Logika Kabur
title_fullStr Pemodelan Dan Simulasi Sistem Produksi Batch Menggunakan Batas Kendali Optimal Dan Logika Kabur
title_full_unstemmed Pemodelan Dan Simulasi Sistem Produksi Batch Menggunakan Batas Kendali Optimal Dan Logika Kabur
title_sort pemodelan dan simulasi sistem produksi batch menggunakan batas kendali optimal dan logika kabur
publisher [Yogyakarta] : Universitas Gadjah Mada
publishDate 2004
url https://repository.ugm.ac.id/23050/
http://i-lib.ugm.ac.id/jurnal/download.php?dataId=5981
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