ICIEOM2023_FULL_0044_37766
IMPROVING THE MANAGEMENT AND ALLOCATION OF MAINTENANCE AND CLEANING OF A UNIVERSITY CAMPUS INFRASTRUCTURE USING A DISCRETE EVENT SIMULATION MODEL
ÁREA: 14.Operations Research
RESUMO:
Due to the pandemic caused by COVID-19, university education was adapted to virtual teaching, which has allowed teachers to teach and interact in their classes and carry out their academic activities from their homes, so the university campuses of the universities of Peru were abandoned, with minimal maintenance tasks, especially in gardens. With the gradual return to face-to-face activities, it is necessary to maintain teachers' offices and administrative environments; however, the use of classrooms has a ratio of 60% and the use of offices a ratio of 30 %. If the cleaning and maintenance policies are respected on a daily basis and that cover 100% of the infrastructure, with many teachers who do not attend in person, excessive costs and use of cleaning material would be incurred. For this reason, a model for optimal task allocation of support personnel has been developed using linear programming and discrete simulation, with the input of information on the attendance of teaching and administrative staff, which allows establishing a pattern of behavior that allows developing a plan for cleaning and hiring cleaning staff, according to the estimated use of the environments. The results show that the new cleaning and maintenance plan would generate savings in operating costs of around 40%. In addition, the reduced use of cleaning and maintenance materials generates a positive collateral impact on the environment.
PALAVRAS-CHAVE:
optimization models, maintenance and cleaning, university campus, maintenance operating costs
DOI: 10.14488/ijcieom2023_full_0044_37766
RESUMO:
Due to the pandemic caused by COVID-19, university education was adapted to virtual teaching, which has allowed teachers to teach and interact in their classes and carry out their academic activities from their homes, so the university campuses of the universities of Peru were abandoned, with minimal maintenance tasks, especially in gardens. With the gradual return to face-to-face activities, it is necessary to maintain teachers' offices and administrative environments; however, the use of classrooms has a ratio of 60% and the use of offices a ratio of 30 %. If the cleaning and maintenance policies are respected on a daily basis and that cover 100% of the infrastructure, with many teachers who do not attend in person, excessive costs and use of cleaning material would be incurred. For this reason, a model for optimal task allocation of support personnel has been developed using linear programming and discrete simulation, with the input of information on the attendance of teaching and administrative staff, which allows establishing a pattern of behavior that allows developing a plan for cleaning and hiring cleaning staff, according to the estimated use of the environments. The results show that the new cleaning and maintenance plan would generate savings in operating costs of around 40%. In addition, the reduced use of cleaning and maintenance materials generates a positive collateral impact on the environment.
PALAVRAS-CHAVE:
optimization models, maintenance and cleaning, university campus, maintenance operating costs
DOI: 10.14488/ijcieom2023_full_0044_37766
AUTORES:
CÉSAR CORRALES
PONTIFICIA UNIVERSIDAD CATÓLICA DEL PERÚ
JONATAN ROJAS
PONTIFICIA UNIVERSIDAD CATÓLICA DEL PERÚ
WILMER ATOCHE
PONTIFICIA UNIVERSIDAD CATÓLICA DEL PERÚ
CÉSAR CORRALES
PONTIFICIA UNIVERSIDAD CATÓLICA DEL PERÚ
JONATAN ROJAS
PONTIFICIA UNIVERSIDAD CATÓLICA DEL PERÚ
WILMER ATOCHE
PONTIFICIA UNIVERSIDAD CATÓLICA DEL PERÚ
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