TY - GEN
T1 - Inventory management model based on Demand Forecasting, 5S, BPM and Max-Min to improve turnover in commercial enterprises
AU - Garcia-Chavez, Gloria Isabel
AU - Del Rosario Carmelo-Mendieta, Vanessa
AU - Collao-Diaz, Martin Fidel
AU - Quiroz-Flores, Juan Carlos
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The commercial sector in Peru has been developing progressively over the years, projecting an average growth of 4.4% per year for the period 2022-2024. For this reason, commercial companies must be more prepared than ever to satisfy the requirements of the demand, being important to analyze one of the main problems of the sector, which include the inventory turnover. In this sense, it is crucial to identify the causes that generate the problem, such as inadequate management in the purchasing and warehouse processes. This research develops an inventory management model based on the combination of four tools (demand forecast, 5S, BPM and Max-Min policy) that aims to improve turnover in commercial enterprises. The results demonstrated the effectiveness of the model by significantly increasing the rotation of the Explorer 115 C/C and R3 Evo 110 agricultural tractor by 39% and 49% respectively.
AB - The commercial sector in Peru has been developing progressively over the years, projecting an average growth of 4.4% per year for the period 2022-2024. For this reason, commercial companies must be more prepared than ever to satisfy the requirements of the demand, being important to analyze one of the main problems of the sector, which include the inventory turnover. In this sense, it is crucial to identify the causes that generate the problem, such as inadequate management in the purchasing and warehouse processes. This research develops an inventory management model based on the combination of four tools (demand forecast, 5S, BPM and Max-Min policy) that aims to improve turnover in commercial enterprises. The results demonstrated the effectiveness of the model by significantly increasing the rotation of the Explorer 115 C/C and R3 Evo 110 agricultural tractor by 39% and 49% respectively.
KW - 5S
KW - BPM
KW - commercial enterprise
KW - demand forecast
KW - Inventory Turnover
KW - Max-Min inventory
UR - https://hdl.handle.net/20.500.12724/17573
UR - http://www.scopus.com/inward/record.url?scp=85143705234&partnerID=8YFLogxK
U2 - 10.1109/CONIITI57704.2022.9953633
DO - 10.1109/CONIITI57704.2022.9953633
M3 - Articulo (Contribución a conferencia)
AN - SCOPUS:85143705234
T3 - 2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022 - Conference Proceedings
BT - 2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022 - Conference Proceedings
A2 - Morales, Victor Manuel Fontalvo
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022
Y2 - 5 October 2022 through 7 October 2022
ER -