TY - GEN
T1 - Improving Perfect Orders at a Freight Transportation SME through Process Management, Autonomous Maintenance, Working Methodology and Demand Forecast
AU - Bazanchafloque, German
AU - Sinchi-Perez, Fernando
AU - MacAssi-Jauregui, Iliana
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Small and Medium-sized Enterprises (SME) in the transportation industry represent 91.5% of the existing companies in Peru. This paper discusses low efficiency rates of the Perfect Order since this value is 41.93% below the optimal value of 90% for these companies. The proposed solution model combines the Autonomous Maintenance, Forecasting Method, Working Methodology, and Process Management tools. During the Literature Review, an information gap was found with respect to studies focusing on this problem, as well as other existing problems in the industry. In addition, this paper combines four tools against other authors who have only combined two. The validation of this model is conducted by simulating the implementation of these four tools. The results reveal a 15% increase in Perfect Order efficiency, as well as an 8.95% reduction in costs.
AB - Small and Medium-sized Enterprises (SME) in the transportation industry represent 91.5% of the existing companies in Peru. This paper discusses low efficiency rates of the Perfect Order since this value is 41.93% below the optimal value of 90% for these companies. The proposed solution model combines the Autonomous Maintenance, Forecasting Method, Working Methodology, and Process Management tools. During the Literature Review, an information gap was found with respect to studies focusing on this problem, as well as other existing problems in the industry. In addition, this paper combines four tools against other authors who have only combined two. The validation of this model is conducted by simulating the implementation of these four tools. The results reveal a 15% increase in Perfect Order efficiency, as well as an 8.95% reduction in costs.
KW - demand forecasting
KW - perfect order
KW - process management
KW - road transportation
KW - working methodology
UR - https://www.scopus.com/pages/publications/85137028992
U2 - 10.1109/ICIM56520.2022.00039
DO - 10.1109/ICIM56520.2022.00039
M3 - Contribución a la conferencia
AN - SCOPUS:85137028992
T3 - Proceedings - 2022 8th International Conference on Information Management, ICIM 2022
SP - 176
EP - 181
BT - Proceedings - 2022 8th International Conference on Information Management, ICIM 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Information Management, ICIM 2022
Y2 - 25 March 2022 through 27 March 2022
ER -