TY - GEN
T1 - Increase of Perfect Orders through the Application of Mixed Methodologies in a Company in the Heavy Freight Transportation Sector
AU - Cusihuaman-Torres, Luis Alonso
AU - Quispe-Rodriguez, Leiton
AU - Quiroz-Flores, Juan Carlos
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/1/9
Y1 - 2023/1/9
N2 - The heavy freight transportation sector presents a growth projection of 12% per year, increasing the need to meet the demand satisfactorily generated by economic growth in Peru of other related sectors such as trade and logistics. The following article is based on freight forwarding service and the challenges it faces. Therefore, the study of the process carried out from the arrival of application to the dispatch of cargo was carried out, BPM, 5S and Route Planning were raised to improve the Perfect Order indicator that is currently at 76.10% due to mismanagement of information between staff and the lack of improvement planning in their processes. After the implementation of the pilot plan and the simulation in Arena, it was possible to show that the improvement of the proposed model raises the Perfect Order indicator to 95%.
AB - The heavy freight transportation sector presents a growth projection of 12% per year, increasing the need to meet the demand satisfactorily generated by economic growth in Peru of other related sectors such as trade and logistics. The following article is based on freight forwarding service and the challenges it faces. Therefore, the study of the process carried out from the arrival of application to the dispatch of cargo was carried out, BPM, 5S and Route Planning were raised to improve the Perfect Order indicator that is currently at 76.10% due to mismanagement of information between staff and the lack of improvement planning in their processes. After the implementation of the pilot plan and the simulation in Arena, it was possible to show that the improvement of the proposed model raises the Perfect Order indicator to 95%.
UR - https://www.scopus.com/pages/publications/85162894737
U2 - 10.1145/3587889.3587892
DO - 10.1145/3587889.3587892
M3 - Articulo (Contribución a conferencia)
AN - SCOPUS:85162894737
T3 - ACM International Conference Proceeding Series
SP - 12
EP - 18
BT - Proceedings of the 2023 10th International Conference on Industrial Engineering and Applications, ICIEA-EU 2023
PB - Association for Computing Machinery
T2 - 10th International Conference on Industrial Engineering and Applications, ICIEA-EU 2023
Y2 - 9 January 2023 through 11 January 2023
ER -