PENENTUAN KEBIJAKAN INVENTORI SPARE PART PT X UNTUK MEMINIMASI TOTAL BIAYA INVENTORI DENGAN MEMPETIMBANGKAN SERVICE LEVEL
Indonesia heavily relies on non-renewable natural resources, particularly oil and gas, which still account for 84.5% of the country's total energy. The PwC report (2023) indicates that oil and gas companies in Indonesia have substantial investments and significant spare parts inventory value...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/83901 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Indonesia heavily relies on non-renewable natural resources, particularly oil and gas, which
still account for 84.5% of the country's total energy. The PwC report (2023) indicates that
oil and gas companies in Indonesia have substantial investments and significant spare parts
inventory values, with poor management potentially leading to significant losses due to
downtime. This study focuses on PT X, which uses Oracle software for inventory
management, but still faces challenges in achieving a service level target of 99.9% due to
irregular demand patterns and stock-out issues. The study emphasizes the importance of
accurate strategies in determining the quantity of spare parts to optimize operational
efficiency and minimize costs.
The research aims to determine the minimum and maximum values of the min-max inventory
model using the Revised Power Approximation (RPA) approach. The RPA approach can
yield near-optimal results with simpler computation (Ehrhardt & Mosier, 1984). After
determining the minimum and maximum values, simulations were conducted to calculate the
total inventory costs and service level for the next 10 years, comparing the existing inventory
policy with the proposed policy to assess their performance.
Based on the research findings, the proposed inventory policy provides significant
improvement. Over the next 10 years, the proposed policy results in an 18.53% lower total
inventory cost, amounting to $197,837.51, and improves the service level to 99.7%, which
is 9.14% better than the existing policy. Thus, it can be concluded that the proposed
inventory policy outperforms the existing policy in terms of cost efficiency and service level.
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