TY - GEN
T1 - Propuesta de Mejora del Sistema de Planificación del Mantenimiento usando E-maintenance y Análisis de Datos
T2 - 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022
AU - Huamán, William
AU - Garay, Fernando
AU - Atoche, Wilmer
N1 - Publisher Copyright:
© 2022 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2022
Y1 - 2022
N2 - This article proposes to optimize the planning process of the maintenance service of a company dedicated to the commercialization of analytical instruments using an E-maintenance strategy. The diagnosis was made using Power BI software, centralizing the information on work times in recent years, including the year 2020, an atypical year due to Covid-19. The efficiency of each collaborator and the direct work time indicator obtained were analyzed, allowing better decisions to be made in the work planning process. Power BI was chosen as the E-maintenance tool since it allows all the files and information generated by the after-sales staff to be in a centralized location. Likewise, the impact of the maintenance planning and programming process was analyzed, obtaining as a diagnosis that the personnel are dedicated 37.6% to direct work and 62.4% to non-direct work, which represents an efficiency of the man-hour cost of the 35%. Regarding the research methodology, it is of an application-experimental level. Achieving as estimated results in the proposal to improve the planning process; direct work time increased by 51% and non-direct work time decreased by 49%, which represents a man-hour cost efficiency of 49%. The case study concludes with the improvement of the planning process and therefore of staff productivityby36%.
AB - This article proposes to optimize the planning process of the maintenance service of a company dedicated to the commercialization of analytical instruments using an E-maintenance strategy. The diagnosis was made using Power BI software, centralizing the information on work times in recent years, including the year 2020, an atypical year due to Covid-19. The efficiency of each collaborator and the direct work time indicator obtained were analyzed, allowing better decisions to be made in the work planning process. Power BI was chosen as the E-maintenance tool since it allows all the files and information generated by the after-sales staff to be in a centralized location. Likewise, the impact of the maintenance planning and programming process was analyzed, obtaining as a diagnosis that the personnel are dedicated 37.6% to direct work and 62.4% to non-direct work, which represents an efficiency of the man-hour cost of the 35%. Regarding the research methodology, it is of an application-experimental level. Achieving as estimated results in the proposal to improve the planning process; direct work time increased by 51% and non-direct work time decreased by 49%, which represents a man-hour cost efficiency of 49%. The case study concludes with the improvement of the planning process and therefore of staff productivityby36%.
KW - Data analytics
KW - E-maintenance
KW - Maintenance Planning
KW - Power BI
UR - http://www.scopus.com/inward/record.url?scp=85139997947&partnerID=8YFLogxK
U2 - 10.18687/LACCEI2022.1.1.661
DO - 10.18687/LACCEI2022.1.1.661
M3 - Contribución a la conferencia
AN - SCOPUS:85139997947
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
A2 - Larrondo Petrie, Maria M.
A2 - Texier, Jose
A2 - Pena, Andrea
A2 - Viloria, Jose Angel Sanchez
PB - Latin American and Caribbean Consortium of Engineering Institutions
Y2 - 18 July 2022 through 22 July 2022
ER -