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ITS » Undergraduate Theses » Teknik Industri
Posted by taujack@its.ac.id at 28/03/2011 10:15:48  •  2038 Views


EVALUASI DAN PEMILIHAN WAKTU PENGADAAN SPARE PARTS AUXILARY POWER UNIT APU TIPE GTCP85 HJK PADA UNIT ENGINE MAINTENANCE PT.GMF AERO ASIA

EVALUATION AND SELECTION FOR SPARE PARTS PROCUREMENT TIME OF AUXILARY POWER UNIT APU GTCP85 HJK IN ENGINE MAINTENANCE UNIT AT PT.GMF AERO ASIA

Author :
HARTINI ( 2506100057 )




ABSTRAK

PT. GMF AA bergerak dalam bidang maintenance pesawat. Unit engine maintenance bertanggung jawab atas perbaikan pesawat termasuk komponen APU Auxilary Power Unit. Saat ini dalam pengerjaan APU TAT Turn Around Time aktual dengan target mempunyai penyimpangan cukup besar faktor penyebab utamanya adalah ketersediaan spare parts. Unit Asset And Trade Management TM bertanggung jawab atas ketersediaan dari spare parts komponen pesawat. Forecast model Neural Network dan simulasi Monte Carlo digunakan untuk memprediksi jumlah demand yang memiliki karakteristik lumpy dan erratic. Analytical Hierarcy Process AHP digunakan untuk pembobotan kriteria untuk memilih waktu pengadaan Spare parts yang tepat. Pemilihan didasarkan pada faktor objective total cost dan TAT maintenance dan subjective kualitas delivery harga service. Waktu pengadaan meliputi bulanan quarterly direct purchase. Pemilik rating tertinggi yang natinya akan terpilih. Klasifikasi spare parts APU berdasarkan jumlah penggunaan harga dan karakteristik demand. Dari hasil penelitian kedua model forecast menunjukkan 67 tidak memiliki berbedaan signifikan dan 2 diantara 21 part number memiliki hasil pemilihan alternatif yang berbeda.


ABSTRACT

PT. GMF AA moves in the field of Maintenance has airline. Engine maintenance unit is responsible for aircraft repairs include APU Auxilary Power Unit. Currently in the repair work on APU the target and actual TAT Turn Around Time has a significant deviation. Whice is caused by the availability of aircraft spareparts. Unit Asset And Trade Management TM is responsible for it. Forecast Neural Network and Monte Carlo simulation is used to predic lumpy and erratic demand. Analytical Hierarcy Process AHP is used to count weighted criteria. Alternative is selected based on objective factor total cost and TAT maintenance and subjective factor quality delivery price service. Procurement time include of periodic montly Quarterly Direct Purchase. The best rating will be chose. Spare parts are classified based on usage price and demand pattern. Based on research both of forecasting model are 67 not having significantly different and 2 of 21 part number have different result on alternative selection.



KeywordsMRO; Procurement; Forecast Neural Network; Monte Carlo; AHP
 
Subject:  Manajemen Industri
Contributor
  1. Nani Kurniati ST, MT
Date Create: 28/03/2011
Type: Text
Format: pdf
Language: Indonesian
Identifier: ITS-Undergraduate-3100010040599
Collection ID: 3100010040599
Call Number: RSI 658.72 Har e


Source
Undergraduate Thesis, Industry Engineering, RSI 658.72 Har e, 2010

Coverage
ITS Community

Rights
Copyright @2011 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




[ Download - Open Access ]

  1.  ITS-Undergraduate-13976-2506100057-Abstract_id.pdf - 354 KB
  2.  ITS-Undergraduate-13976-2506100057-Abstract_en.pdf - 175 KB
  3.  ITS-Undergraduate-13976-2506100057-Conclusion.pdf - 188 KB




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