OPTIMISASI OPERASI PENGISIAN KEMBALI TANGKI DAN PIPANISASI TERMINAL BBM BARU DI PROVINSI RIAU DENGAN MENGGUNAKAN MIXED-INTEGER LINEAR PROGRAMMING

PT X, an oil company in Indonesia, has an oil terminal in Riau Province called TBBM Y. One of the performance indicators for operational activities in TBBM Y is coverage days. Coverage days is a metric to show the number of days the available stock can fulfill customer demand. At the current cond...

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Main Author: Luthfiana, Fanny
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/66210
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:66210
spelling id-itb.:662102022-06-27T13:46:17ZOPTIMISASI OPERASI PENGISIAN KEMBALI TANGKI DAN PIPANISASI TERMINAL BBM BARU DI PROVINSI RIAU DENGAN MENGGUNAKAN MIXED-INTEGER LINEAR PROGRAMMING Luthfiana, Fanny Indonesia Final Project supply chain system, coverage days, replenishment, pipeline, mixed-integer linear programming INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/66210 PT X, an oil company in Indonesia, has an oil terminal in Riau Province called TBBM Y. One of the performance indicators for operational activities in TBBM Y is coverage days. Coverage days is a metric to show the number of days the available stock can fulfill customer demand. At the current condition, average coverage days for all of the products stored in TBBM Y is 10,25 days, while the standard set by PT X is 14,10 days. The unfulfilled standard is caused by unideal replenishment strategy in TBBM Y. A mixed-integer linear programming (MILP) model is used to schedule the distribution of multiple oil products from supply point to TBBM Y using pipeline. The objective of the model is to obtain a distribution schedule that will fulfill the coverage days standard and also has a minimum operational cost. The MILP model in this research is a dynamic model that will also show the inventory evolution for each point of time in the planning horizon. This research focuses on the operational planning in TBBM Y. Three alternatives are obtained from this research. All alternatives have low demand-supply deviation volume and fulfilled the coverage days standard set by PT X. Alternative with the lowest demand-supply deviation volume is the two-supply points scenario with deviation 0,43 kL and average coverage days 29,20 days. For the 1 supply point alternative, batching method scenario has the best result with the average coverage days of 39,83 days. 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 PT X, an oil company in Indonesia, has an oil terminal in Riau Province called TBBM Y. One of the performance indicators for operational activities in TBBM Y is coverage days. Coverage days is a metric to show the number of days the available stock can fulfill customer demand. At the current condition, average coverage days for all of the products stored in TBBM Y is 10,25 days, while the standard set by PT X is 14,10 days. The unfulfilled standard is caused by unideal replenishment strategy in TBBM Y. A mixed-integer linear programming (MILP) model is used to schedule the distribution of multiple oil products from supply point to TBBM Y using pipeline. The objective of the model is to obtain a distribution schedule that will fulfill the coverage days standard and also has a minimum operational cost. The MILP model in this research is a dynamic model that will also show the inventory evolution for each point of time in the planning horizon. This research focuses on the operational planning in TBBM Y. Three alternatives are obtained from this research. All alternatives have low demand-supply deviation volume and fulfilled the coverage days standard set by PT X. Alternative with the lowest demand-supply deviation volume is the two-supply points scenario with deviation 0,43 kL and average coverage days 29,20 days. For the 1 supply point alternative, batching method scenario has the best result with the average coverage days of 39,83 days.
format Final Project
author Luthfiana, Fanny
spellingShingle Luthfiana, Fanny
OPTIMISASI OPERASI PENGISIAN KEMBALI TANGKI DAN PIPANISASI TERMINAL BBM BARU DI PROVINSI RIAU DENGAN MENGGUNAKAN MIXED-INTEGER LINEAR PROGRAMMING
author_facet Luthfiana, Fanny
author_sort Luthfiana, Fanny
title OPTIMISASI OPERASI PENGISIAN KEMBALI TANGKI DAN PIPANISASI TERMINAL BBM BARU DI PROVINSI RIAU DENGAN MENGGUNAKAN MIXED-INTEGER LINEAR PROGRAMMING
title_short OPTIMISASI OPERASI PENGISIAN KEMBALI TANGKI DAN PIPANISASI TERMINAL BBM BARU DI PROVINSI RIAU DENGAN MENGGUNAKAN MIXED-INTEGER LINEAR PROGRAMMING
title_full OPTIMISASI OPERASI PENGISIAN KEMBALI TANGKI DAN PIPANISASI TERMINAL BBM BARU DI PROVINSI RIAU DENGAN MENGGUNAKAN MIXED-INTEGER LINEAR PROGRAMMING
title_fullStr OPTIMISASI OPERASI PENGISIAN KEMBALI TANGKI DAN PIPANISASI TERMINAL BBM BARU DI PROVINSI RIAU DENGAN MENGGUNAKAN MIXED-INTEGER LINEAR PROGRAMMING
title_full_unstemmed OPTIMISASI OPERASI PENGISIAN KEMBALI TANGKI DAN PIPANISASI TERMINAL BBM BARU DI PROVINSI RIAU DENGAN MENGGUNAKAN MIXED-INTEGER LINEAR PROGRAMMING
title_sort optimisasi operasi pengisian kembali tangki dan pipanisasi terminal bbm baru di provinsi riau dengan menggunakan mixed-integer linear programming
url https://digilib.itb.ac.id/gdl/view/66210
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