Application of Experimental Design in Optimizing Fuel Station Queuing System

Ngakan Ketut Acwin Dwijendra; Irina Vaslavskaya; Natalia Vladimirovna Skvortsova; Tatyana Pavlovna Rakhlis; Untung Rahardja; Muneam Hussein Ali; A. Heri Iswanto; Lakshmi Thangavelu; Mustafa M. Kadhim

doi:10.7232/iems.2022.21.2.381

Application of Experimental Design in Optimizing Fuel Station Queuing System

Ngakan Ketut Acwin Dwijendra
, Irina Vaslavskaya
, Natalia Vladimirovna Skvortsova
, Tatyana Pavlovna Rakhlis
, Untung Rahardja
, Muneam Hussein Ali
, A. Heri Iswanto
, Lakshmi Thangavelu
, Mustafa M. Kadhim

Universitas Udayana
Kazan Volga Region Federal University
Nosov Magnitogorsk State Technical University
Universitas Raharja
Al-Nisour University College
University of Pembangunan Nasional Veteran Jakarta
Saveetha Institute of Medical and Technical Sciences (Deemed to be University)
Kut University College

Research output: Contribution to journal › Article › peer-review

28 Scopus citations

Abstract

This paper investigates the 224 active fuel stations to find thee optimal distribution system. This research aims to design a model based on simulation to optimize the queuing system and fuel station sales. This study combines simulations and experimental design techniques that lead to a predictable and experimental model for optimizing the system and performance of a fuel station by considering two perspectives of queue length and sales rate. Initially, the fuel station was simulated using Arena software. After simulating the fuel station system, we tried to optimize the station's performance using the design of experiments and response level methodology (RSM). The results obtained from the optimal model indicate that the results lead to improved system performance. The fuel station queue is studied.

Original language	English
Pages (from-to)	381-389
Number of pages	9
Journal	Industrial Engineering and Management Systems
Volume	21
Issue number	2
DOIs	https://doi.org/10.7232/iems.2022.21.2.381
State	Published - 2022
Externally published	Yes

Keywords

Design of Experiments
Discrete System Simulation
Optimization
Performance Evaluation
Queue System

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10.7232/iems.2022.21.2.381

Cite this

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title = "Application of Experimental Design in Optimizing Fuel Station Queuing System",

abstract = "This paper investigates the 224 active fuel stations to find thee optimal distribution system. This research aims to design a model based on simulation to optimize the queuing system and fuel station sales. This study combines simulations and experimental design techniques that lead to a predictable and experimental model for optimizing the system and performance of a fuel station by considering two perspectives of queue length and sales rate. Initially, the fuel station was simulated using Arena software. After simulating the fuel station system, we tried to optimize the station's performance using the design of experiments and response level methodology (RSM). The results obtained from the optimal model indicate that the results lead to improved system performance. The fuel station queue is studied.",

keywords = "Design of Experiments, Discrete System Simulation, Optimization, Performance Evaluation, Queue System",

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year = "2022",

doi = "10.7232/iems.2022.21.2.381",

language = "English",

volume = "21",

pages = "381--389",

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publisher = "Korean Institute of Industrial Engineers",

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AU - Dwijendra, Ngakan Ketut Acwin

AU - Vaslavskaya, Irina

AU - Skvortsova, Natalia Vladimirovna

AU - Rakhlis, Tatyana Pavlovna

AU - Rahardja, Untung

AU - Ali, Muneam Hussein

AU - Iswanto, A. Heri

AU - Thangavelu, Lakshmi

AU - Kadhim, Mustafa M.

PY - 2022

Y1 - 2022

N2 - This paper investigates the 224 active fuel stations to find thee optimal distribution system. This research aims to design a model based on simulation to optimize the queuing system and fuel station sales. This study combines simulations and experimental design techniques that lead to a predictable and experimental model for optimizing the system and performance of a fuel station by considering two perspectives of queue length and sales rate. Initially, the fuel station was simulated using Arena software. After simulating the fuel station system, we tried to optimize the station's performance using the design of experiments and response level methodology (RSM). The results obtained from the optimal model indicate that the results lead to improved system performance. The fuel station queue is studied.

AB - This paper investigates the 224 active fuel stations to find thee optimal distribution system. This research aims to design a model based on simulation to optimize the queuing system and fuel station sales. This study combines simulations and experimental design techniques that lead to a predictable and experimental model for optimizing the system and performance of a fuel station by considering two perspectives of queue length and sales rate. Initially, the fuel station was simulated using Arena software. After simulating the fuel station system, we tried to optimize the station's performance using the design of experiments and response level methodology (RSM). The results obtained from the optimal model indicate that the results lead to improved system performance. The fuel station queue is studied.

KW - Design of Experiments

KW - Discrete System Simulation

KW - Optimization

KW - Performance Evaluation

KW - Queue System

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Application of Experimental Design in Optimizing Fuel Station Queuing System

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Keywords

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