TY - GEN
T1 - Inventory Management Model under the Lean Warehousing Approach to Reduce the Rate of Returns in SME Distributors
AU - Serna-Ampuero, Maria Antonieta
AU - Arias-Navarro, Mauricio
AU - Quiroz-Flores, Juan Carlos
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/9/27
Y1 - 2022/9/27
N2 - Companies in the wholesale sector face the challenge of maintaining a good level of service, so they must have their processes well controlled. The article studies a cleaning products distributor, which has a high rate of returned orders, caused by incomplete orders, late deliveries, and products in poor condition. This has generated a significant economic impact since companies dedicated to wholesale distribution do not have a high-profit margin. Therefore, the goal is to improve warehouse management and the inventory control and recording process through the 5S, ABC classification, and a continuous inventory review model (Q, r). It is expected to reduce picking search time by 53.89%. It is also expected to reduce the inaccuracy of the inventory register to 8.36% and the percentage of stock out to 8%.
AB - Companies in the wholesale sector face the challenge of maintaining a good level of service, so they must have their processes well controlled. The article studies a cleaning products distributor, which has a high rate of returned orders, caused by incomplete orders, late deliveries, and products in poor condition. This has generated a significant economic impact since companies dedicated to wholesale distribution do not have a high-profit margin. Therefore, the goal is to improve warehouse management and the inventory control and recording process through the 5S, ABC classification, and a continuous inventory review model (Q, r). It is expected to reduce picking search time by 53.89%. It is also expected to reduce the inaccuracy of the inventory register to 8.36% and the percentage of stock out to 8%.
KW - ABC analysis
KW - Continuous Review System
KW - inventory control
KW - product returns
KW - SMEs
UR - http://www.scopus.com/inward/record.url?scp=85147454494&partnerID=8YFLogxK
U2 - 10.1145/3568834.3568894
DO - 10.1145/3568834.3568894
M3 - Articulo (Contribución a conferencia)
AN - SCOPUS:85147454494
T3 - ACM International Conference Proceeding Series
SP - 103
EP - 108
BT - 2022 8th International Conference on Industrial and Business Engineering, ICIBE 2022
PB - Association for Computing Machinery
Y2 - 27 September 2022 through 29 September 2022
ER -