TY - GEN
T1 - Modelo de simulación para la mejora de procesos en un hospital de neoplásicas
AU - Quispe, Danny Tupayachy
AU - Daza, Bertolt Pareja
AU - Monteagudo, Joel Carrillo
N1 - Publisher Copyright:
© 2019 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2019
Y1 - 2019
N2 - The following research presents the development of a simulation model developed in the Arena 14.0 program for the patient care process of a Neoplastic Hospital in the city of Arequipa - Peru. The main problem is the waiting time to be taken care of in the different specialties offered by the hospital and in second place the unsatisfied demand that exists for patients who request attention. The research is oriented to the areas of appointments, admission and external consultations in nine specialties. For its development, the data was collected directly through observation and statistical records of the institution. In a first stage, elements that make up the process are identified, by means of diagrams, and then samples were taken for arrival times and service times. The analysis of the model reveals that there are bottlenecks and limitations of the quotas by specialty. With the obtained information, a simulation model was validated in which different process improvement alternatives are proposed in order to reduce the waiting times of the patients. As a result, we propose some solutions to the main problems and improvements in the service provided by the institution.
AB - The following research presents the development of a simulation model developed in the Arena 14.0 program for the patient care process of a Neoplastic Hospital in the city of Arequipa - Peru. The main problem is the waiting time to be taken care of in the different specialties offered by the hospital and in second place the unsatisfied demand that exists for patients who request attention. The research is oriented to the areas of appointments, admission and external consultations in nine specialties. For its development, the data was collected directly through observation and statistical records of the institution. In a first stage, elements that make up the process are identified, by means of diagrams, and then samples were taken for arrival times and service times. The analysis of the model reveals that there are bottlenecks and limitations of the quotas by specialty. With the obtained information, a simulation model was validated in which different process improvement alternatives are proposed in order to reduce the waiting times of the patients. As a result, we propose some solutions to the main problems and improvements in the service provided by the institution.
KW - Arena 14.0
KW - Model
KW - Oncology
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=85073608149&partnerID=8YFLogxK
U2 - 10.18687/LACCEI2019.1.1.260
DO - 10.18687/LACCEI2019.1.1.260
M3 - Contribución a la conferencia
AN - SCOPUS:85073608149
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - 17th LACCEI International Multi-Conference for Engineering, Education, and Technology
PB - Latin American and Caribbean Consortium of Engineering Institutions
T2 - 17th LACCEI International Multi-Conference for Engineering, Education, and Technology, LACCEI 2019
Y2 - 24 July 2019 through 26 July 2019
ER -