INVENTORY SHEET PROCESS IMPROVEMENT USING DECISION ANALYSIS: ANALYTICAL HIERARCHY PROCESS
To maintain production sustainability and facilities reliability, PT Chevron Pacific <br /> <br /> Indonesia has large number of capital projects for field development, production <br /> <br /> sustainability and facilities reliability & improvement. The capital expense w...
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/21900 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | To maintain production sustainability and facilities reliability, PT Chevron Pacific <br />
<br />
Indonesia has large number of capital projects for field development, production <br />
<br />
sustainability and facilities reliability & improvement. The capital expense will be <br />
<br />
paid with cost recovery process. The commencement of cost recovery starts after <br />
<br />
Place Into Service (PIS) document is approved by SKK Migas. One of PIS <br />
<br />
document is materials installed report or Inventory Sheet. <br />
<br />
Processing time rate in FEBS Material Management at Pari Godown was more <br />
<br />
than 200 days. Delay of PIS document submission will lead delay to Cost <br />
<br />
recovery, even there is potentially rejected by SKK Migas and become sole cost. <br />
<br />
The objective of this research is to propose the improvement on decision of <br />
<br />
Inventory sheet submission process. From several criteria and alternatives, one of <br />
<br />
the best decisions will be selected. To achieve business objective, the set of <br />
<br />
questions are stated to figure out structured and systematic thinking for problem <br />
<br />
solving and decision making process using Analytical Hierarchy Process. The <br />
<br />
decision based on small Focus Group Discussion from expert of Material Team, <br />
<br />
FEBS Management and one Cost Engineer. The selected decision is to develop a <br />
<br />
clear Business Process as guideline and accountability between the teams <br />
<br />
involved in the process. In addition it is also recommended to improve the <br />
<br />
database system and collaboration between analysts who are experienced with <br />
<br />
Pari team analysts with a mentoring pattern. <br />
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