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Vila, R., Arenas, I., Madrid, E., Martínez, C. (2024). Business Consulting para la empresa – COMIN SAC [Pontificia Universidad Católica del Perú]. http://hdl.handle.net/20.500.12404/29181
Vila, R., Arenas, I., Madrid, E., Martínez, C. Business Consulting para la empresa – COMIN SAC []. PE: Pontificia Universidad Católica del Perú; 2024. http://hdl.handle.net/20.500.12404/29181
@mastersthesis{renati/862791,
title = "Business Consulting para la empresa – COMIN SAC",
author = "Martínez Rodríguez, Carlos Marcelo",
publisher = "Pontificia Universidad Católica del Perú",
year = "2024"
}
Title: Business Consulting para la empresa – COMIN SAC
Authors(s): Vila Gonzales, Rocío Pilar; Arenas Julca, Israel Vasili; Madrid Mena, Eduardo Job; Martínez Rodríguez, Carlos Marcelo
Advisor(s): Siccha Ayvar, Hobber Aristides
Keywords: Consultores de empresas--Planificación estratégica; Tecnología de la información--Medidas de seguridad
OCDE field: https://purl.org/pe-repo/ocde/ford#5.02.04
Issue Date: 16-Oct-2024
Institution: Pontificia Universidad Católica del Perú
Abstract: La siguiente consultoría en Tecnología de Información se aplica a COMIN SAC,
empresa familiar reconocida por su calidad y líder en el sector de construcción y operaciones
mineras busca adoptar un modelo basado en innovación y tecnología debido a que enfrenta
desafíos significativos que afectan su eficiencia y rentabilidad operativa.
En base a la información proporcionada por la empresa y análisis realizado aplicando
la matriz de Vester como instrumento de priorización, se determinó el principal problema de
la empresa: “Bajo Nivel de Entrega de Valor de las Aplicaciones al Negocio” que impacta
negativamente en sus operaciones alcanzando hasta -6.5 % de rentabilidad y evidencia
aproximadamente dos millones de soles de sobrecostos mensuales en la ejecución de sus
proyectos.
Para atender el problema reconocido en la necesidad de automatizar procesos
operacionales justificado en hallazgos de la consultoría basados en entrevistas y grupos
focales se plantearon 4 alternativas de solución: (a) Control de Asistencia inteligente con IoT;
(b) Reposición Predictivo de Stock con Machine Learning; (c) Sistema de Gestión de
Operaciones integral; (d) Gestión de Maquinaria pesada con Blockchain.
La evaluación de alternativas mediante juicio de experto y criterios de selección
confrontados en el proceso de jerarquía analítica (AHP), determinó que la implementación de
un Sistema de Gestión de Operaciones integral (Personas, Maquinaria y Recursos) es la
solución más relevante a la situación actual de la empresa con impacto positivo en la
eficiencia y rentabilidad de sus proyectos, generando valor representado en el logro de sus
objetivos estratégicos y nivel de competitividad para mantenerse rentable con mayor
participación de mercado.
Para la planificación e implementación de la solución se plantea seguir las buenas
prácticas de ITIL 4 referenciando sus componentes y actividades de la cadena de valor del
servicio desde el compromiso de la empresa hasta la entrega y soporte de la solución.
La implementación se estima en un periodo de dos años y alcanza una inversión de
US$ 350 000 dólares, que sería recuperada en 2 años de acuerdo con el análisis de retorno de
inversión (ROI) en un periodo de cinco años en los que se espera generar un ahorro
progresivo del 15% al 40% en costos operativos, con un valor actual neto (VAN) de $305
670.19 dólares y una tasa interna de retorno (TIR) de 39.52% mayor a la tasa de descuento
anual de 12%, lo que demuestra que la solución propuesta es financieramente viable y
factible.
This Information Technology consulting applies to COMIN SAC, a family company recognized for its quality and leader in the construction and mining operations sector, seeking to adopt innovation and technology-based model due it faces significant challenges that affect its operational efficiency. Based on the information provided by the company and analysis carried out applying Vester matrix as a prioritization instrument, the company's main problem was determined: "Low Level of Value Delivery of Applications to the Business" that negatively impacts its operations reaching up to -6.5% profitability evidencing approximately two million soles of monthly over cost in their projects execution. To address problem recognized in need to automate operational processes justified in the consultancy insights based on interviews and focus groups, 4 alternative solutions were proposed: (a) Intelligent Attendance Control with IoT; (b) Predictive Stock Replenishment with Machine Learning; (c) Comprehensive Operations Management System; (d) Heavy Machinery Management with Blockchain. Alternatives evaluation through expert judgment and selection criteria confronted in the analytical hierarchy process (AHP), determined that a comprehensive Operations Management System (People, Machinery and Resources) implementation is the most relevant solution to the company current situation with a positive impact on efficiency and projects profitability, generating value represented in their strategic objectives achievement and competitiveness level to remain profitable with greater market share. Solution planning and implementation it is proposed to follow ITIL 4 best practices, referencing its components and Service Value Chain activities, since company's commitment until solution delivery and support. Implementation is estimated in a two years period and reaches an US$ 350 000 dollars investment, which would be recovered in two years according to return on investment (ROI) analysis in a five years period which it is expected to generate a progressive 15% to 40% of operating costs savings, with a $305 670.19 dollars net present value (NPV) and an 39.52% internal rate of return (IRR) higher than 12% annual discount rate, demonstrating that solution proposed is financially viable and feasible.
This Information Technology consulting applies to COMIN SAC, a family company recognized for its quality and leader in the construction and mining operations sector, seeking to adopt innovation and technology-based model due it faces significant challenges that affect its operational efficiency. Based on the information provided by the company and analysis carried out applying Vester matrix as a prioritization instrument, the company's main problem was determined: "Low Level of Value Delivery of Applications to the Business" that negatively impacts its operations reaching up to -6.5% profitability evidencing approximately two million soles of monthly over cost in their projects execution. To address problem recognized in need to automate operational processes justified in the consultancy insights based on interviews and focus groups, 4 alternative solutions were proposed: (a) Intelligent Attendance Control with IoT; (b) Predictive Stock Replenishment with Machine Learning; (c) Comprehensive Operations Management System; (d) Heavy Machinery Management with Blockchain. Alternatives evaluation through expert judgment and selection criteria confronted in the analytical hierarchy process (AHP), determined that a comprehensive Operations Management System (People, Machinery and Resources) implementation is the most relevant solution to the company current situation with a positive impact on efficiency and projects profitability, generating value represented in their strategic objectives achievement and competitiveness level to remain profitable with greater market share. Solution planning and implementation it is proposed to follow ITIL 4 best practices, referencing its components and Service Value Chain activities, since company's commitment until solution delivery and support. Implementation is estimated in a two years period and reaches an US$ 350 000 dollars investment, which would be recovered in two years according to return on investment (ROI) analysis in a five years period which it is expected to generate a progressive 15% to 40% of operating costs savings, with a $305 670.19 dollars net present value (NPV) and an 39.52% internal rate of return (IRR) higher than 12% annual discount rate, demonstrating that solution proposed is financially viable and feasible.
Link to repository: http://hdl.handle.net/20.500.12404/29181
Discipline: Gerencia de Tecnologías de Información
Grade or title grantor: Pontificia Universidad Católica del Perú. CENTRUM
Grade or title: Maestro en Gerencia de Tecnologías de Información
Juror: Negron Naldos, Luis Alfredo; Siccha Ayvar, Hobber Aristides; Loza Geldres, Igor Leopoldo
Register date: 16-Oct-2024
This item is licensed under a Creative Commons License