OPTIMISASI JARINGAN RANTAI PASOK HILIR LIQUEFIED PETROLEUM GAS (LPG) NASIONAL PT X MENGGUNAKAN PEMROGRAMAN LINIER
Liquefied petroleum gas (LPG) is a widely used gas fuel product in Indonesia. According to data from Badan Pusat Statistik (BPS), 87.12% of households in Indonesia used LPG for cooking purposes in 2022. In the same year, LPG consumption in Indonesia reached 8.2 MT. A state-owned company, hereinaf...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/84094 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Liquefied petroleum gas (LPG) is a widely used gas fuel product in Indonesia. According to
data from Badan Pusat Statistik (BPS), 87.12% of households in Indonesia used LPG for
cooking purposes in 2022. In the same year, LPG consumption in Indonesia reached 8.2 MT.
A state-owned company, hereinafter referred to as PT X, dominates the downstream natural
gas business activities in Indonesia with a market share of 97%.
The government, through the Ministry of Energy and Mineral Resources (ESDM), regulates
the benchmark price of 3 kg LPG through Keputusan Menteri ESDM No.
253.K/12/MEM/2020. The document specifies the standard price for freight costs at
US$50.11/MT. Currently, the transportation cost of LPG managed by PT X significantly
exceeds the standard, amounting to US$105.76/MT in 2022. The cost difference resulted in
a loss for PT X because it exceeded the amount of subsidy that could be paid by the
government. This discrepancy is due to suboptimal existing supply chain networks, which
involve LPG supply using tanker ships and distribution using tanker trucks.
This study aims to minimize LPG supply chain costs by optimizing the supply and
distribution network configuration of PT X. Linear programming is utilized to determine the
optimal volume of supply and distribution in PT X's national LPG supply chain network. The
focus of decision-making in this research lies at the tactical level. Based on the optimal
model solution, a 2.45% cost saving in the supply chain is achieved compared to the existing
supply chain costs.
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