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De, J., Falcon, M. (2022). Mejora de la planificación de la demanda de las tiendas retail propias de la empresa Crepier [Universidad de Lima]. https://hdl.handle.net/20.500.12724/16308
De, J., Falcon, M. Mejora de la planificación de la demanda de las tiendas retail propias de la empresa Crepier []. PE: Universidad de Lima; 2022. https://hdl.handle.net/20.500.12724/16308
@misc{renati/235125,
title = "Mejora de la planificación de la demanda de las tiendas retail propias de la empresa Crepier",
author = "Falcon Paredes, Madeline Rubi",
publisher = "Universidad de Lima",
year = "2022"
}
Title: Mejora de la planificación de la demanda de las tiendas retail propias de la empresa Crepier
Advisor(s): Vidal Paredes, Alex Antonio
Keywords: Logistica empresarial; Oferta y demanda; Comercio al por menor; Empresas familiares; Marcas comerciales; Business Logistics; Supply and demand; Retail trade; Family business; Trademarks
OCDE field: https://purl.org/pe-repo/ocde/ford#2.11.04
Issue Date: 2022
Institution: Universidad de Lima
Abstract: El presente estudio de investigación se enfocará en una mejora en el proceso de la
planificación de la demanda de la empresa CREPIER con el fin de identificar los factores
que afectan a la disponibilidad de productos en cada tienda retail propia de la empresa.
Para diagnosticar el problema se ha tomado en cuenta el análisis interno y externo
de la empresa, así como las fortalezas, debilidades, oportunidades y amenazas
respectivamente. Además de detallar un diagrama de flujo y las operaciones clave de la
cadena de suministro de la empresa. Con todo ello, se planteó una hipótesis, el cual se
soporta del objetivo principal de la investigación, y es la implementación de un proceso
de planeamiento de demanda formal con el apoyo de un software especializado creará
pronósticos más acertados, reduciendo los errores en la planificación.
Debido al diagrama de causa-efecto, se logró identificar las causas raíz de los
principales problemas que afectan las pérdidas de ventas y excesos de inventarios. Con
ello, se propuso plantear 4 propuestas de solución, las cuales se filtraron al aplicar un
ranking de factores, con ello se determinó la propuesta de solución determinante es:
Rediseñar el proceso con un modelo de planeamiento centralizado con modelos de
reposición a locales apoyados por software especializado.
Además, se hizo uso de dos principales indicadores: MAPE y % de pérdidas de
cada categoría, las cuales resultaron menores al simular el uso del software especializado.
Por otro lado, se obtuvo un porcentaje de la diferencia de MAPE’s, ya que con ello se
obtendría la ganancia al emplear el software especializado.
Finalmente, con el dato mencionado anteriormente, se realizó una evaluación
económica-financiera con el uso de flujo de caja de ganancia-egreso de la mejora, la cual
se evidencia un indicador beneficio-costo de 5.49 y un TIR 48%.
This research study will focus on improving CREPIER's demand planning process to identify the factors that affect the availability of products in each of the company's retail stores. To diagnose the problem, the internal and external analysis of the company has been taken into account, as well as the strengths, weaknesses, opportunities and threats respectively. In addition to detailing a flow diagram and the key operations of the company's supply chain. With all this, a hypothesis was raised, which is supported by the main objective of the research, and that is the implementation of a formal demand planning process with the support of specialized software will create more accurate forecasts, reducing errors in planning. Due to the cause-effect diagram, it was possible to identify the root causes of the main problems affecting sales losses and excess inventories. With this, it was proposed to propose 4 solution proposals, which were filtered by applying a ranking of factors, thus determining the determining solution proposal: Redesign the process with a centralized planning model with local replenishment models supported by specialized software. In addition, two main indicators were used: MAPE and % of losses for each category, which were lower when simulating the use of specialized software. On the other hand, a percentage of the MAPE's difference was obtained, since this would provide the gain when using the specialized software. Finally, with the mentioned data, an economic-financial evaluation was carried out with the use of the cash flow of profit-loss of the improvement, which shows a benefit-cost indicator of 5.49 and an IRR of 48%.
This research study will focus on improving CREPIER's demand planning process to identify the factors that affect the availability of products in each of the company's retail stores. To diagnose the problem, the internal and external analysis of the company has been taken into account, as well as the strengths, weaknesses, opportunities and threats respectively. In addition to detailing a flow diagram and the key operations of the company's supply chain. With all this, a hypothesis was raised, which is supported by the main objective of the research, and that is the implementation of a formal demand planning process with the support of specialized software will create more accurate forecasts, reducing errors in planning. Due to the cause-effect diagram, it was possible to identify the root causes of the main problems affecting sales losses and excess inventories. With this, it was proposed to propose 4 solution proposals, which were filtered by applying a ranking of factors, thus determining the determining solution proposal: Redesign the process with a centralized planning model with local replenishment models supported by specialized software. In addition, two main indicators were used: MAPE and % of losses for each category, which were lower when simulating the use of specialized software. On the other hand, a percentage of the MAPE's difference was obtained, since this would provide the gain when using the specialized software. Finally, with the mentioned data, an economic-financial evaluation was carried out with the use of the cash flow of profit-loss of the improvement, which shows a benefit-cost indicator of 5.49 and an IRR of 48%.
Link to repository: https://hdl.handle.net/20.500.12724/16308
Discipline: Ingeniería Industrial
Grade or title grantor: Universidad de Lima. Facultad de Ingeniería y Arquitectura
Grade or title: Ingeniero Industrial
Juror: Ruiz Ruiz, Marco Fernando; Chávez Gurmendi, Luis Enrique; Corzo Chávez, Jorge Antonio
Register date: 26-Jul-2022
This item is licensed under a Creative Commons License