TY - GEN
T1 - Warehouse Management Model under the Lean Warehousing Approach to Increase the Order Fill Rate in Glass Marketing SMEs
AU - Franco-Silvera, Nicole
AU - Valdez-Yrigoyen, Abril
AU - Quiroz-Flores, Juan Carlos
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/9/22
Y1 - 2023/9/22
N2 - The commercial sector represents 10.6% of the national GDP, and the wholesale or retail trade increased by 17.3% last year; for this reason, the following article is based on the import of glass, this activity has to cope with costs, quality and time, as well as achieving optimal profitability. Therefore, it is important to plan the different stages of the process, the supply of the product, the order in the warehouse, the correct execution of packing and picking. For this reason, the study was carried out in the warehouse area, 5S, standardized work and ABC Multicriteria were proposed to improve the Fill Rate indicator, which is currently at 93.3% due to inadequate management in the warehouse, affecting profits. By implementing the pilot plan and carrying out the simulation in Arena, it was possible to verify the improvement of the proposed model, this raising the Fill Rate indicator to 97.36%.
AB - The commercial sector represents 10.6% of the national GDP, and the wholesale or retail trade increased by 17.3% last year; for this reason, the following article is based on the import of glass, this activity has to cope with costs, quality and time, as well as achieving optimal profitability. Therefore, it is important to plan the different stages of the process, the supply of the product, the order in the warehouse, the correct execution of packing and picking. For this reason, the study was carried out in the warehouse area, 5S, standardized work and ABC Multicriteria were proposed to improve the Fill Rate indicator, which is currently at 93.3% due to inadequate management in the warehouse, affecting profits. By implementing the pilot plan and carrying out the simulation in Arena, it was possible to verify the improvement of the proposed model, this raising the Fill Rate indicator to 97.36%.
UR - https://www.scopus.com/pages/publications/85182601571
U2 - 10.1145/3629378.3629385
DO - 10.1145/3629378.3629385
M3 - Articulo (Contribución a conferencia)
AN - SCOPUS:85182601571
T3 - ACM International Conference Proceeding Series
SP - 379
EP - 387
BT - 9th International Conference on Industrial and Business Engineering, ICIBE 2023
PB - Association for Computing Machinery
T2 - 9th International Conference on Industrial and Business Engineering, ICIBE 2023
Y2 - 22 September 2023 through 24 September 2023
ER -