TY - GEN
T1 - ERP System Based on Process Mining for Improving Logistic Management Efficiency in Small and Medium-Sized Enterprises in the Industrial Sector
AU - Rojas, Kevin J.
AU - Dávila, Emerson M.
AU - Castañeda, Pedro
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - The logistics process in small and medium-sized enterprises (SMEs) in the industrial sector is often exposed to various challenges, such as information loss, redundant activities, prolonged waiting times, and delivery failures, due to poor logistics management. In response to this problem, the implementation of an ERP system based on Process Mining is proposed to enhance the management of the logistics process in SMEs within the industrial sector. This system represents a comprehensive technological solution specifically designed to address logistics inefficiencies and optimize processes in the supply chain of these companies. As part of the evaluation methodology, performance indicators have been established to discuss the results obtained. These indicators have been defined using the Celonis tool, which has been employed for process mining. Findings obtained from the analysis of 30,000 records validate the optimization of the logistics process in companies within this sector, demonstrating a significant reduction in the percentage of key indicators for undesired activities in the logistics process.
AB - The logistics process in small and medium-sized enterprises (SMEs) in the industrial sector is often exposed to various challenges, such as information loss, redundant activities, prolonged waiting times, and delivery failures, due to poor logistics management. In response to this problem, the implementation of an ERP system based on Process Mining is proposed to enhance the management of the logistics process in SMEs within the industrial sector. This system represents a comprehensive technological solution specifically designed to address logistics inefficiencies and optimize processes in the supply chain of these companies. As part of the evaluation methodology, performance indicators have been established to discuss the results obtained. These indicators have been defined using the Celonis tool, which has been employed for process mining. Findings obtained from the analysis of 30,000 records validate the optimization of the logistics process in companies within this sector, demonstrating a significant reduction in the percentage of key indicators for undesired activities in the logistics process.
KW - ERP
KW - Logistics
KW - Process
KW - Process Mining
KW - SMEs
UR - https://www.scopus.com/pages/publications/85200477811
U2 - 10.1007/978-3-031-64359-0_29
DO - 10.1007/978-3-031-64359-0_29
M3 - Contribución a la conferencia
AN - SCOPUS:85200477811
SN - 9783031643583
T3 - Communications in Computer and Information Science
SP - 375
EP - 387
BT - Information Management - 10th International Conference, ICIM 2024, Revised Selected Papers
A2 - Li, Shuliang
PB - Springer Science and Business Media Deutschland GmbH
T2 - 10th International Conference on Information Management, ICIM 2024
Y2 - 8 March 2024 through 10 March 2024
ER -