Bibliographic citations
Meza, R., Sanchez, M. (2023). Lean Six Sigma para aumentar la capacidad instalada en el servicio de Mantenimiento Preventivo en una empresa de la industria de Ascensores [Trabajo de Suficiencia Profesional, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/672167
Meza, R., Sanchez, M. Lean Six Sigma para aumentar la capacidad instalada en el servicio de Mantenimiento Preventivo en una empresa de la industria de Ascensores [Trabajo de Suficiencia Profesional]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2023. http://hdl.handle.net/10757/672167
@misc{renati/414138,
title = "Lean Six Sigma para aumentar la capacidad instalada en el servicio de Mantenimiento Preventivo en una empresa de la industria de Ascensores",
author = "Sanchez Rivas Plata, Marco Antonio",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2023"
}
The Elevators Industry company that is part of the construction economical sector has registered a 17.9% Gross Domestic Product (GDP) in Latin America and the Caribbean market. This industry only registers a 12.5% Gross Domestic Product (GDP) in Peru. Analysis observed the last 4 years. A low installed capacity has been identified in preventive maintenance services, registering lead times over the 120 minutes benchmark standard, a root cause analysis was executed and main pain drivers were the lack of standardization in the process and the lack of calibration plan for maintenance equipment. In addition, the economic impact was identified on the extra working hours and the headquarter fines over the standard fulfillment service. Lean Six Sigma methodology was implemented, according to our identified approaches from our research resources findings, including a DMAIC work structure along and Lean tools such as the Value State Map (VSM), Pareto Analysis, Ishikawa Analysis, Failure Modes and Effects Analysis (FMEA), in order to determine the current status analysis. In addition, a statistical capability process analysis was executed, the variance analysis ANOVA to assess all possible hypotheses and identify critical variables of the process and implementing a design of experiments minimizing and standardizing the maintenance service average time. A lack of standardization in the maintenance process was identified, and as a result of the revised process, the average maintenance service lead time was reduced from 130,72 minutes per preventive maintenance service to 109,85 minutes per preventive maintenance service. Also, the variation lead time of the preventive maintenance service was minimized from 24 minutes per preventive maintenance service to 11,31 minutes per preventive maintenance service. Process Installed capacity was improved from 700 preventive maintenance services per month to 769 preventive maintenance services per month.
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