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ITS » Paper and Presentation » Teknik Fisika S1
Posted by at 11/04/2016 14:04:30  •  862 Views


OPTIMIZING PREVENTIVE MAINTENANCE ON SHIPPING PUMP WITH GENETIC ALGORITHM IN JOINT OPERATING BODY PERTAMINAPETROCHINA EAST JAVA JOB P-PEJ SOKO - TUBAN

OPTIMASI PREVENTIVE MAINTENANCE PADA SHIPPING PUMP DENGAN GENETIC ALGORITHM DI JOINT OPERATING BODY PERTAMINAPETROCHINA EAST JAVA JOB P-PEJ SOKO - TUBAN

Author :
ASRORI, AHMAD ( 2410100004 )




ABSTRAK

Proses pengiriman minyak mentah dari Central Processing Area CPA ke Floating Storage Offloading FSO membutuhkan unit shipping pump dengan head yang sangat tinggi. Berdasarkan operation manual dari vendor strategi pemeliharaan yang direkomendasikan untuk unit shipping pump adalah Preventive Maintenance PM. Namun karena dianggap kurang efisien maka PM dengan interval pendek dikurangi atau bahkan tidak dilakukan oleh operator. Dari hasil analisis Overall Equipment Effectiveness yang pernah dilakukan menunjukkan bahwa usaha peningkatan efisiensi aktivitas PM dengan cara mengurangi aktivitas PM yang seharusnya dilakukan justru menyebabkan kualitas kinerja shipping pump menjadi tidak maksimal. Dalam peneilitan ini dilakukan optimasi Preventive Maintenance PM pada shipping pump PP-8400B di CPA JOB P-PEJ menggunakan Genetic Algorithm GA. Inti dari optimasi ini yaitu pada komponen racor fuel filter fuel filter separator coolant filter dan air filter dilakukan PM secara bersamaan namun dengan jenis PM yang berbeda untuk menekan total cost maintenance dan tetap memaksimalkan reliability system. Sehingga dapat diperoleh PM yang lebih efisien tanpa harus menurunkan kualitas kinerjanya. Hasil penelitian menunjukkan bahwa hasil optimasi yang dilakukan dapat menghemat total cost maintenance racor fuel filter sebesar 1641 dan fuel filter separator sebesar 2677 selama 1500 jam. Di sisi lain reliability terkecil secara sistem selama 1500 jam diperoleh 07151 dan masing-masing komponen sebesar 09158 untuk racor fuel filter 09035 untuk fuel filter separator 08995 untuk coolant filter dan 08264 untuk air filter.


ABSTRACT

The process of shipping crude oil from Central Processing Area CPA into Floating Storage Offloading FSO requiring shipping pump unit with very high head. Based on manual operation from vendor maintenance strategy that recommended for shipping pump unit is Preventive Maintenance PM. But because it reputed less efficient so operator become cutting or not executing PM with short interval. From Overall Equipment Effectiveness analysis which has been made indicating that the effort for upgrading efficiency of PM activities with cutting PM activities which should be do exactly causing performance quality become not maximal. In this research made optimizing Preventive Maintenance PM on shipping pump PP-8400B in the CPA JOB P-PEJ with Genetic Algorithm GA. The core of this optimization will be executed PM simultaneously on the racor fuel filter fuel filter separator coolant filter and air filter but with different PM activities for minimizing total cost maintenance and maximizing reliability of system. So obtainable PM which more efficient without must reducing its performance quality. The result of this research show that optimizing can be economized total cost maintenance of racor fuel filter 16.41 and fuel filter separator 26.77 during 1500 hours. On the other hand the lowest reliability of system obtainable 0.7151 and for each component obtainable 0.9158 for racor fuel filter 0.9035 for fuel filter separator 0.8995 for coolant filter and 08262 for air filter.



KeywordsPreventive maintenance; genetic algorithm; racor fuel filter; fuel filter separator; coolant filter; air filter; reliability; and total cost maintenance.
 
Subject:  none
Contributor
  1. Dr. Bambang L. Widjiantoro, S.T., M.T
  2. Hendra Cordova, S.T., M.T.
Date Create: 11/04/2016
Type: Text
Format: pdf
Language: Indonesian
Identifier: ITS-paper-24121160008807
Collection ID: 24121160008807
Call Number: RSF 511.8 Asr o


Source
Paper and Presentations, Physics Engineering, RSF 511.8 Asr o, 2014

Coverage
ITS Community

Rights
Copyright @2016 by ITS Library. This publication is protected by copyright and per obtained from the ITS Library prior to any prohibited reproduction, storage in a re transmission in any form or by any means, electronic, mechanical, photocopying, reco For information regarding permission(s), write to ITS Library




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  1.  ITS-paper-41050-2410100004-Paper.pdf - 1992 KB
  2.  ITS-paper-41050-2410100004-Presentation.pdf - 9098 KB




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