TY - GEN
T1 - Digital Transformation Model Based on Business Process Management and Lean Manufacturing to Increase the Productivity of the Administrative Area of a Peruvian Aeronautical Company
AU - Ladera-Mejia, Alexandra Gianella
AU - Pun-Gutierrez, Xiomara Stephanie
AU - Quiroz-Flores, Juan Carlos
AU - Flores-Perez, Alberto Enrique
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/9/27
Y1 - 2022/9/27
N2 - The aviation sector has suffered the effects of the pandemic as the industry's problems have become more evident due to operational constraints. The challenging and uncertain scenario has made the airline industry adapt its business to innovative alternatives based on efficient and digital strategies associated with the sector's low productivity and the efficiency of each process. According to the reports, a series of failures were observed in the Maintenance Administrative Area, which is in charge of managing the work shifts of each technician in charge of aircraft maintenance, identifying that the most significant productivity problem in the area is based on the inefficient attention of requests to technical personnel. Therefore, a new model based on digital transformation was established by applying Business Process Management and Lean Manufacturing, in which the implementation of an ERP system connected to a self-service digital platform stands out. The main objective of this research is to increase productivity through the proposed new model and reduce unproductive times. Initially, the current case was analyzed, the improvements were identified, and the simulation was performed in the Arena software version 16; giving as a result of the validation, the increase of attention rate by 26.4%, the reduction of the rejection rate by 2.09%, the increase of the registration efficiency by 32.59%, and a significant reduction of the cycle time by 87.37%; obtaining as a key result the increase of productivity by 18.62%, achieving a precedent that contributes to the optimization of the processes in the aeronautical sector.
AB - The aviation sector has suffered the effects of the pandemic as the industry's problems have become more evident due to operational constraints. The challenging and uncertain scenario has made the airline industry adapt its business to innovative alternatives based on efficient and digital strategies associated with the sector's low productivity and the efficiency of each process. According to the reports, a series of failures were observed in the Maintenance Administrative Area, which is in charge of managing the work shifts of each technician in charge of aircraft maintenance, identifying that the most significant productivity problem in the area is based on the inefficient attention of requests to technical personnel. Therefore, a new model based on digital transformation was established by applying Business Process Management and Lean Manufacturing, in which the implementation of an ERP system connected to a self-service digital platform stands out. The main objective of this research is to increase productivity through the proposed new model and reduce unproductive times. Initially, the current case was analyzed, the improvements were identified, and the simulation was performed in the Arena software version 16; giving as a result of the validation, the increase of attention rate by 26.4%, the reduction of the rejection rate by 2.09%, the increase of the registration efficiency by 32.59%, and a significant reduction of the cycle time by 87.37%; obtaining as a key result the increase of productivity by 18.62%, achieving a precedent that contributes to the optimization of the processes in the aeronautical sector.
KW - Aircraft industry
KW - BPM
KW - Digital transformation
KW - Line balancing
KW - standardized work
KW - VSM
UR - https://hdl.handle.net/20.500.12724/17953
UR - http://www.scopus.com/inward/record.url?scp=85147442038&partnerID=8YFLogxK
U2 - 10.1145/3568834.3568852
DO - 10.1145/3568834.3568852
M3 - Articulo (Contribución a conferencia)
AN - SCOPUS:85147442038
T3 - ACM International Conference Proceeding Series
SP - 145
EP - 153
BT - 2022 8th International Conference on Industrial and Business Engineering, ICIBE 2022
PB - Association for Computing Machinery
T2 - 8th International Conference on Industrial and Business Engineering, ICIBE 2022
Y2 - 27 September 2022 through 29 September 2022
ER -