OPTIMIZATION OF GASOLINE METHANOL ETHANOL (GME) SUPPLY CHAIN NETWORK DESIGN USING MIXED INTEGER LINEAR PROGRAMMING

Gasoline needs in Indonesia has been constantly increasing throughout the year. Domestic production capacity is relatively constant and could not fulfill all demands hence decided to import gasoline. To reduce gasoline import, the government is currently proposing Gasoline Methanol Ethanol (GME)...

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Main Author: Firdaus, Azzimar
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/73655
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:73655
spelling id-itb.:736552023-06-22T11:59:43ZOPTIMIZATION OF GASOLINE METHANOL ETHANOL (GME) SUPPLY CHAIN NETWORK DESIGN USING MIXED INTEGER LINEAR PROGRAMMING Firdaus, Azzimar Indonesia Final Project gasoline, gasoline methanol ethanol, supply chain network design, mixed integer linear programming, landed cost INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/73655 Gasoline needs in Indonesia has been constantly increasing throughout the year. Domestic production capacity is relatively constant and could not fulfill all demands hence decided to import gasoline. To reduce gasoline import, the government is currently proposing Gasoline Methanol Ethanol (GME) as a new energy source. GME is a blend of gasoline, methanol, and ethanol, mixed with specific compositions and additives. A key consideration for implementing GME is its supply chain. New GME supply chain network design (SCND) needs to be built. The approach to obtain an optimal GME SCND is to compare it with existing gasoline SCND. Landed cost can be used to compare both SCND performance. GME landed cost consists of gasoline cost, methanol cost, ethanol cost, additive cost, infrastructure cost, and conversion rate factor. Meanwhile, gasoline landed cost only consist of gasoline cost. In this research, mixed integer linear programming (MILP) is used to determine the SCND of GME. The objective of the model is to minimize the difference between the new GME landed cost and existing gasoline landed cost. All converted depot and amount of methanol & ethanol distributed from source to depot will be resulted after the model is solved. The result of the model shows that 0 out of 109 depots will be converted from gasoline to GME for both A6 and A20. Hence, 0 kL of methanol/ethanol will be distributed from certain source to depot. This implies that the GME landed cost is more expensive than the existing gasoline landed cost. The model is run with different scenario where conversion rate is neglected. The result for A6 is to convert 70 out of 109 depots in Indonesia with 53,58 USD/kL landed cost savings and for A20 is to convert 104 out of 109 depots in Indonesia with 454,52 USD/kL landed cost savings. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Gasoline needs in Indonesia has been constantly increasing throughout the year. Domestic production capacity is relatively constant and could not fulfill all demands hence decided to import gasoline. To reduce gasoline import, the government is currently proposing Gasoline Methanol Ethanol (GME) as a new energy source. GME is a blend of gasoline, methanol, and ethanol, mixed with specific compositions and additives. A key consideration for implementing GME is its supply chain. New GME supply chain network design (SCND) needs to be built. The approach to obtain an optimal GME SCND is to compare it with existing gasoline SCND. Landed cost can be used to compare both SCND performance. GME landed cost consists of gasoline cost, methanol cost, ethanol cost, additive cost, infrastructure cost, and conversion rate factor. Meanwhile, gasoline landed cost only consist of gasoline cost. In this research, mixed integer linear programming (MILP) is used to determine the SCND of GME. The objective of the model is to minimize the difference between the new GME landed cost and existing gasoline landed cost. All converted depot and amount of methanol & ethanol distributed from source to depot will be resulted after the model is solved. The result of the model shows that 0 out of 109 depots will be converted from gasoline to GME for both A6 and A20. Hence, 0 kL of methanol/ethanol will be distributed from certain source to depot. This implies that the GME landed cost is more expensive than the existing gasoline landed cost. The model is run with different scenario where conversion rate is neglected. The result for A6 is to convert 70 out of 109 depots in Indonesia with 53,58 USD/kL landed cost savings and for A20 is to convert 104 out of 109 depots in Indonesia with 454,52 USD/kL landed cost savings.
format Final Project
author Firdaus, Azzimar
spellingShingle Firdaus, Azzimar
OPTIMIZATION OF GASOLINE METHANOL ETHANOL (GME) SUPPLY CHAIN NETWORK DESIGN USING MIXED INTEGER LINEAR PROGRAMMING
author_facet Firdaus, Azzimar
author_sort Firdaus, Azzimar
title OPTIMIZATION OF GASOLINE METHANOL ETHANOL (GME) SUPPLY CHAIN NETWORK DESIGN USING MIXED INTEGER LINEAR PROGRAMMING
title_short OPTIMIZATION OF GASOLINE METHANOL ETHANOL (GME) SUPPLY CHAIN NETWORK DESIGN USING MIXED INTEGER LINEAR PROGRAMMING
title_full OPTIMIZATION OF GASOLINE METHANOL ETHANOL (GME) SUPPLY CHAIN NETWORK DESIGN USING MIXED INTEGER LINEAR PROGRAMMING
title_fullStr OPTIMIZATION OF GASOLINE METHANOL ETHANOL (GME) SUPPLY CHAIN NETWORK DESIGN USING MIXED INTEGER LINEAR PROGRAMMING
title_full_unstemmed OPTIMIZATION OF GASOLINE METHANOL ETHANOL (GME) SUPPLY CHAIN NETWORK DESIGN USING MIXED INTEGER LINEAR PROGRAMMING
title_sort optimization of gasoline methanol ethanol (gme) supply chain network design using mixed integer linear programming
url https://digilib.itb.ac.id/gdl/view/73655
_version_ 1822007171448045568