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

  • Universidad Nacional Mayor de San Marcos

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaIntelligent Sustainable Systems - Selected Papers of WorldS4 2023
EditoresAtulya K. Nagar, Dharm Singh Jat, Durgesh Kumar Mishra, Amit Joshi
Páginas557-569
Número de páginas13
DOI
EstadoPublicada - 2024
Evento7th World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2023 - London, Reino Unido
Duración: 21 ago. 202324 ago. 2023

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen817
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

Conferencia7th World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2023
País/TerritorioReino Unido
CiudadLondon
Período21/08/2324/08/23

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