EOQ Inventory Model in a Metalworking MSE with Intermittent Demand: A Case Study.

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The main objective of this research article is to optimize costs and logistic KPIs applying an economic order quantity (EOQ) inventory model in a metalmechanic MSE with intermittent demand. Firstly, the forecast model with the lowest MAD and ECM is selected. The object under study, after ABC classif...

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Detalles Bibliográficos
Autor: Jiménez Ayhuasi, Jaime Abel
Formato: tesis de grado
Fecha de Publicación:2023
Institución:Universidad de Lima
Repositorio:ULIMA-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.ulima.edu.pe:20.500.12724/20096
Enlace del recurso:https://hdl.handle.net/20.500.12724/20096
Nivel de acceso:acceso abierto
Materia:Gestión de stocks
Pequeñas y medianas empresas
Industria metalmecánica
Estudio de casos
https://purl.org/pe-repo/ocde/ford#2.11.04
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dc.title.es_PE.fl_str_mv EOQ Inventory Model in a Metalworking MSE with Intermittent Demand: A Case Study.
title EOQ Inventory Model in a Metalworking MSE with Intermittent Demand: A Case Study.
spellingShingle EOQ Inventory Model in a Metalworking MSE with Intermittent Demand: A Case Study.
Jiménez Ayhuasi, Jaime Abel
Gestión de stocks
Pequeñas y medianas empresas
Industria metalmecánica
Estudio de casos
https://purl.org/pe-repo/ocde/ford#2.11.04
title_short EOQ Inventory Model in a Metalworking MSE with Intermittent Demand: A Case Study.
title_full EOQ Inventory Model in a Metalworking MSE with Intermittent Demand: A Case Study.
title_fullStr EOQ Inventory Model in a Metalworking MSE with Intermittent Demand: A Case Study.
title_full_unstemmed EOQ Inventory Model in a Metalworking MSE with Intermittent Demand: A Case Study.
title_sort EOQ Inventory Model in a Metalworking MSE with Intermittent Demand: A Case Study.
author Jiménez Ayhuasi, Jaime Abel
author_facet Jiménez Ayhuasi, Jaime Abel
author_role author
dc.contributor.advisor.fl_str_mv Taquía Gutiérrez, José Antonio
dc.contributor.author.fl_str_mv Jiménez Ayhuasi, Jaime Abel
dc.subject.es_PE.fl_str_mv Gestión de stocks
Pequeñas y medianas empresas
Industria metalmecánica
Estudio de casos
topic Gestión de stocks
Pequeñas y medianas empresas
Industria metalmecánica
Estudio de casos
https://purl.org/pe-repo/ocde/ford#2.11.04
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.11.04
description The main objective of this research article is to optimize costs and logistic KPIs applying an economic order quantity (EOQ) inventory model in a metalmechanic MSE with intermittent demand. Firstly, the forecast model with the lowest MAD and ECM is selected. The object under study, after ABC classification, belongs to the family of products located in class A due to its valuation and participation in the inventory. The Croston method is considered the most effective forecast model. Secondly, an aggregate planning is developed to satisfy the projection. Then, the EOQ or Wilson model is implemented to reduce inventory costs. Finally, to validate the calculated data, a simulation model is built in Arena with 50 replications. As a result, the inventory costs were reduced to 22.6%.
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2024-04-01T19:15:47Z
dc.date.available.none.fl_str_mv 2024-04-01T19:15:47Z
dc.date.issued.fl_str_mv 2023
dc.type.none.fl_str_mv info:eu-repo/semantics/bachelorThesis
dc.type.other.none.fl_str_mv Tesis
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dc.identifier.citation.es_PE.fl_str_mv Jiménez Ayhuasi, J. A. (2023). EOQ Inventory Model in a Metalworking MSE with Intermittent Demand: A Case Study [Tesis para optar el Título Profesional de Ingeniero Industrial, Universidad de Lima]. Repositorio institucional de la Universidad de Lima. https://hdl.handle.net/20.500.12724/20096
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12724/20096
dc.identifier.isni.none.fl_str_mv 121541816
identifier_str_mv Jiménez Ayhuasi, J. A. (2023). EOQ Inventory Model in a Metalworking MSE with Intermittent Demand: A Case Study [Tesis para optar el Título Profesional de Ingeniero Industrial, Universidad de Lima]. Repositorio institucional de la Universidad de Lima. https://hdl.handle.net/20.500.12724/20096
121541816
url https://hdl.handle.net/20.500.12724/20096
dc.language.iso.none.fl_str_mv eng
language eng
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Universidad de Lima
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spelling Taquía Gutiérrez, José AntonioJiménez Ayhuasi, Jaime Abel2024-04-01T19:15:47Z2024-04-01T19:15:47Z2023Jiménez Ayhuasi, J. A. (2023). EOQ Inventory Model in a Metalworking MSE with Intermittent Demand: A Case Study [Tesis para optar el Título Profesional de Ingeniero Industrial, Universidad de Lima]. Repositorio institucional de la Universidad de Lima. https://hdl.handle.net/20.500.12724/20096https://hdl.handle.net/20.500.12724/20096121541816The main objective of this research article is to optimize costs and logistic KPIs applying an economic order quantity (EOQ) inventory model in a metalmechanic MSE with intermittent demand. Firstly, the forecast model with the lowest MAD and ECM is selected. The object under study, after ABC classification, belongs to the family of products located in class A due to its valuation and participation in the inventory. The Croston method is considered the most effective forecast model. Secondly, an aggregate planning is developed to satisfy the projection. Then, the EOQ or Wilson model is implemented to reduce inventory costs. Finally, to validate the calculated data, a simulation model is built in Arena with 50 replications. As a result, the inventory costs were reduced to 22.6%.El presente artículo de investigación tiene como objetivo principal optimizar costos y KPIs logísticos mediante la aplicación de un modelo de inventario (EOQ) en una MYPE metalmecánica con demanda intermitente. El objeto en estudio, luego de la clasificación ABC, corresponde a la familia ubicados en la clase A por su valorización y participación en el inventario. En primer lugar, se selecciona el modelo de pronóstico con la MAD (desviación media) y ECM (error cuadrático) más bajo. El método de Croston se considera el modelo de pronóstico más efectivo. En segundo lugar, se desarrolla una planificación agregada para satisfacer la proyección. Luego, se implementa el sistema EOQ o modelo Wilson para reducir los costos de inventario. Finalmente, para validar los datos calculados, se construye un modelo de simulación en Arena con 50 repeticiones. Como resultado, los costos de inventario se redujeron a 22.6%application/pdfengUniversidad de LimaPEinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/Repositorio Institucional - UlimaUniversidad de Limareponame:ULIMA-Institucionalinstname:Universidad de Limainstacron:ULIMAGestión de stocksPequeñas y medianas empresasIndustria metalmecánicaEstudio de casoshttps://purl.org/pe-repo/ocde/ford#2.11.04EOQ Inventory Model in a Metalworking MSE with Intermittent Demand: A Case Study.info:eu-repo/semantics/bachelorThesisTesisSUNEDUTítulo ProfesionalIngeniería IndustrialUniversidad de Lima. 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EOQ Inventory Model in a Metalworking MSE with Intermittent Demand: A Case Study.
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