Return to search

Lean Thinking Simulation Model to Improve the Service Performance in Fast Food

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. / The fast food industry, specifically the service department, has experienced sustainable economic growth and has evolved in the application of substantial methods, however, it has presented a slowdown due to deficient operation level provided in the customer service area. A large number of customers do not make the purchase owing to a series of unmet trends that face the consumer behaviour which leads to significant economic losses and inefficient service. They have therefore focused their efforts on finding impulse mechanisms through allowing them to migrate to less costly processes and/or to achieve better utilisation of available resources without success. This research inquires into the effectiveness of the Lean Thinking Simulation (LTS) model, which consists in the development of a set of methodological phases and the adaptation of the technological support termed as Digital Change to improve the performance of customer service in Peruvian fast food. The main result of this practical study was defined by a Dashboard in real-time, and as a first approximation of the model, a 17.03% improvement can be shown in the performance of customer service on the fast food selected. / Revisión por pares

Identiferoai:union.ndltd.org:PERUUPC/oai:repositorioacademico.upc.edu.pe:10757/653849
Date01 January 2021
CreatorsSandoval, Diana, Palomares, Manuela, Rojas, Jose, Mendoza, Pablo, Raymundo, Carlos
Source SetsUniversidad Peruana de Ciencias Aplicadas (UPC)
LanguageEnglish
Detected LanguageEnglish
TypeOther
SourceAdvances in Intelligent Systems and Computing, 1183, 339, 345
Rightsinfo:eu-repo/semantics/embargoedAccess
Relationhttps://www.scopus.com/record/display.uri?eid=2-s2.0-85096423187&doi=10.1007%2f978-981-15-5856-6_34&origin=inward&txGid=0c911e094e6b6b1513e10af6dc717ee2

Page generated in 0.0023 seconds