Business Consulting para la optimización del mantenimiento y la rotación de inventario en la empresa Master Drilling Perú S.A.
Fecha
Título de la revista
ISSN de la revista
Título del volumen
Editor
Pontificia Universidad Católica del Perú
Acceso al texto completo solo para la Comunidad PUCP
Resumen
Master Drilling Perú S.A.C., empresa especializada en perforación subterránea,
enfrenta una problemática operativa que compromete su eficiencia: los equipos reciben
mantenimiento únicamente cuando presentan averías, lo que genera paradas prolongadas y no
planificadas. En 2023, los componentes Chuck y Primera Reducción acumularon 1,484 horas
de inactividad, representando el 49% de las horas improductivas por fallas, con pérdidas
superiores a USD 346,000. Esta situación evidencia la necesidad de adoptar un enfoque
preventivo basado en análisis de fallas.
Como solución, se propone implementar el modelo Collaborative Planning,
Forecasting and Replenishment (CPFR), que integra la planificación de mantenimiento con
la gestión inteligente de inventarios. La propuesta se apoya en la clasificación crítica de
componentes mediante análisis ABC-R, el uso de Power Apps para el registro digital de
intervenciones en campo, y Power BI para el monitoreo operativo.
La evaluación financiera confirma que el proyecto es rentable y viable: se proyecta un
Valor Actual Neto (VAN) de USD 366,047.14, una Tasa Interna de Retorno (TIR) semestral
de 44.14%, un Índice de Rentabilidad (PI) de 2.96, y un ROCE de 2.56, con un periodo de
recuperación de 2.5 semestres. Estos indicadores reflejan una inversión eficiente, con retorno
superior al costo de capital y generación de valor económico sostenido.
Desde una perspectiva social y ambiental, la propuesta impulsa la eficiencia operativa, reduce
el desperdicio de recursos y contribuye a la sostenibilidad del negocio, alineándose con los
Objetivos de Desarrollo Sostenible.
Master Drilling Perú S.A.C., a company specialized in underground drilling, faces a critical operational challenge: equipment is serviced only after failures occur, resulting in prolonged and unplanned downtime. In 2023, the Chuck and First Reduction components accounted for 1,484 hours of inactivity, representing 49% of total downtime due to component failures, with estimated losses exceeding USD 346,000. This highlights the urgent need for a preventive approach based on failure analysis. To address this issue, the implementation of the Collaborative Planning, Forecasting and Replenishment (CPFR) model is proposed. This strategy integrates maintenance planning with intelligent inventory management. The solution is supported by three key tools: ABC-R analysis for component prioritization, Power Apps for digital data collection directly from field operations, and Power BI for real-time monitoring of maintenance and inventory indicators. The financial evaluation confirms the project's viability and profitability: a Net Present Value (NPV) of USD 366,047.14, a semiannual Internal Rate of Return (IRR) of 44.14%, a Profitability Index (PI) of 2.96, and a Return on Capital Employed (ROCE) of 2.56, with a payback period of 2.5 semesters. These indicators demonstrate efficient capital use and sustained value generation. From a strategic and environmental perspective, the proposal enhances operational efficiency, reduces resource waste, and supports long-term sustainability, aligning with the Sustainable Development Goals. Overall, this initiative positions Master Drilling as a proactive and resilient leader in the mining sector.
Master Drilling Perú S.A.C., a company specialized in underground drilling, faces a critical operational challenge: equipment is serviced only after failures occur, resulting in prolonged and unplanned downtime. In 2023, the Chuck and First Reduction components accounted for 1,484 hours of inactivity, representing 49% of total downtime due to component failures, with estimated losses exceeding USD 346,000. This highlights the urgent need for a preventive approach based on failure analysis. To address this issue, the implementation of the Collaborative Planning, Forecasting and Replenishment (CPFR) model is proposed. This strategy integrates maintenance planning with intelligent inventory management. The solution is supported by three key tools: ABC-R analysis for component prioritization, Power Apps for digital data collection directly from field operations, and Power BI for real-time monitoring of maintenance and inventory indicators. The financial evaluation confirms the project's viability and profitability: a Net Present Value (NPV) of USD 366,047.14, a semiannual Internal Rate of Return (IRR) of 44.14%, a Profitability Index (PI) of 2.96, and a Return on Capital Employed (ROCE) of 2.56, with a payback period of 2.5 semesters. These indicators demonstrate efficient capital use and sustained value generation. From a strategic and environmental perspective, the proposal enhances operational efficiency, reduces resource waste, and supports long-term sustainability, aligning with the Sustainable Development Goals. Overall, this initiative positions Master Drilling as a proactive and resilient leader in the mining sector.
Descripción
Palabras clave
Consultores de empresas, Control de inventarios, Inteligencia empresarial