Simulation of a Queuing System in the Customer Service Area of a Gas Station, Lima, Peru

Kevin Abner Garcia-Ramirez; Alan William Llacza-Lizarraga; Mario Ninaquispe-Soto; Yasmina Riega-Virú; Alicia Riojas-Cañari

doi:10.1007/978-981-99-7886-1_46

Simulation of a Queuing System in the Customer Service Area of a Gas Station, Lima, Peru

Kevin Abner Garcia-Ramirez, Alan William Llacza-Lizarraga, Mario Ninaquispe-Soto, Yasmina Riega-Virú, Alicia Riojas-Cañari

Direction of Research, Innovation and Social Responsibility

Universidad Nacional Mayor de San Marcos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The processes were analyzed at a gas station in Lima, Peru, which offers three different types of fuel, with historical information on the demands and the service, the random behavior of vehicle arrivals and service times was estimated, the service time was simulated. Fuel-sale process using the ProModel simulation program and a proposal to improve the service was made by modifying the capacities of the pumps, adapting them to the estimated demand. The number of NGV pumps was reduced to just one since the number of vehicles that needed this product was lower. The change made to this initial simulation demonstrated an increase from 49.9 to 67.74% in the NGV pump area.

Original language	English
Title of host publication	Intelligent Sustainable Systems - Selected Papers of WorldS4 2023
Editors	Atulya K. Nagar, Dharm Singh Jat, Durgesh Kumar Mishra, Amit Joshi
Pages	557-569
Number of pages	13
DOIs	https://doi.org/10.1007/978-981-99-7886-1_46
State	Published - 2024
Event	7th World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2023 - London, United Kingdom Duration: 21 Aug 2023 → 24 Aug 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	817
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	7th World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2023
Country/Territory	United Kingdom
City	London
Period	21/08/23 → 24/08/23

Keywords

ProModel
Random variable
Simulation
Waiting lines

Access to Document

10.1007/978-981-99-7886-1_46

Cite this

Garcia-Ramirez, K. A., Llacza-Lizarraga, A. W., Ninaquispe-Soto, M., Riega-Virú, Y., & Riojas-Cañari, A. (2024). Simulation of a Queuing System in the Customer Service Area of a Gas Station, Lima, Peru. In A. K. Nagar, D. S. Jat, D. K. Mishra, & A. Joshi (Eds.), Intelligent Sustainable Systems - Selected Papers of WorldS4 2023 (pp. 557-569). (Lecture Notes in Networks and Systems; Vol. 817). https://doi.org/10.1007/978-981-99-7886-1_46

Garcia-Ramirez, Kevin Abner ; Llacza-Lizarraga, Alan William ; Ninaquispe-Soto, Mario et al. / Simulation of a Queuing System in the Customer Service Area of a Gas Station, Lima, Peru. Intelligent Sustainable Systems - Selected Papers of WorldS4 2023. editor / Atulya K. Nagar ; Dharm Singh Jat ; Durgesh Kumar Mishra ; Amit Joshi. 2024. pp. 557-569 (Lecture Notes in Networks and Systems).

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abstract = "The processes were analyzed at a gas station in Lima, Peru, which offers three different types of fuel, with historical information on the demands and the service, the random behavior of vehicle arrivals and service times was estimated, the service time was simulated. Fuel-sale process using the ProModel simulation program and a proposal to improve the service was made by modifying the capacities of the pumps, adapting them to the estimated demand. The number of NGV pumps was reduced to just one since the number of vehicles that needed this product was lower. The change made to this initial simulation demonstrated an increase from 49.9 to 67.74% in the NGV pump area.",

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note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 7th World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2023 ; Conference date: 21-08-2023 Through 24-08-2023",

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Garcia-Ramirez, KA, Llacza-Lizarraga, AW, Ninaquispe-Soto, M , Riega-Virú, Y & Riojas-Cañari, A 2024, Simulation of a Queuing System in the Customer Service Area of a Gas Station, Lima, Peru. in AK Nagar, DS Jat, DK Mishra & A Joshi (eds), Intelligent Sustainable Systems - Selected Papers of WorldS4 2023. Lecture Notes in Networks and Systems, vol. 817, pp. 557-569, 7th World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2023, London, United Kingdom, 21/08/23. https://doi.org/10.1007/978-981-99-7886-1_46

Simulation of a Queuing System in the Customer Service Area of a Gas Station, Lima, Peru. / Garcia-Ramirez, Kevin Abner; Llacza-Lizarraga, Alan William; Ninaquispe-Soto, Mario et al.
Intelligent Sustainable Systems - Selected Papers of WorldS4 2023. ed. / Atulya K. Nagar; Dharm Singh Jat; Durgesh Kumar Mishra; Amit Joshi. 2024. p. 557-569 (Lecture Notes in Networks and Systems; Vol. 817).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - The processes were analyzed at a gas station in Lima, Peru, which offers three different types of fuel, with historical information on the demands and the service, the random behavior of vehicle arrivals and service times was estimated, the service time was simulated. Fuel-sale process using the ProModel simulation program and a proposal to improve the service was made by modifying the capacities of the pumps, adapting them to the estimated demand. The number of NGV pumps was reduced to just one since the number of vehicles that needed this product was lower. The change made to this initial simulation demonstrated an increase from 49.9 to 67.74% in the NGV pump area.

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Garcia-Ramirez KA, Llacza-Lizarraga AW, Ninaquispe-Soto M , Riega-Virú Y, Riojas-Cañari A. Simulation of a Queuing System in the Customer Service Area of a Gas Station, Lima, Peru. In Nagar AK, Jat DS, Mishra DK, Joshi A, editors, Intelligent Sustainable Systems - Selected Papers of WorldS4 2023. 2024. p. 557-569. (Lecture Notes in Networks and Systems). doi: 10.1007/978-981-99-7886-1_46

Simulation of a Queuing System in the Customer Service Area of a Gas Station, Lima, Peru

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