TY - GEN
T1 - Integrated Logistics Management Model for Metalworking Companies
T2 - 2025 International Conference on Research in Education and Science, ICRES 2025
AU - Iturry-Barreda, Francesco Gonzalo
AU - Timoteo-Gómez, Alejandra
AU - Ruiz-Ruiz, Marcos Fernando
N1 - Publisher Copyright:
© ICRES 2025.All rights reserved.
PY - 2025
Y1 - 2025
N2 - Inventory logistics is crucial for maximizing a company's productivity. It has evolved over the years into a science aimed at optimizing warehouse logistics. The objective of this research was to propose a logistics management model inspired by Just in Time (JIT), Reorder Point (ROP), and 5S tools for companies in the metalworking sector. To this end, an experimental applied improvement design was used, employing engineering techniques through four methodological phases, from diagnosing and analyzing the problem to analyzing the results. The contribution of this research aligns with improving the level of logistical service through the management of inventories and warehouses, aiming to increase customer satisfaction and thus contribute to the development of more efficient logistics management models tailored to the needs of modern companies. The main improvements include a reduction of 6 days in delivery times, an 80% decrease in the percentage of service orders experiencing stockouts, and a 61% reduction in inventory inaccuracy rates.
AB - Inventory logistics is crucial for maximizing a company's productivity. It has evolved over the years into a science aimed at optimizing warehouse logistics. The objective of this research was to propose a logistics management model inspired by Just in Time (JIT), Reorder Point (ROP), and 5S tools for companies in the metalworking sector. To this end, an experimental applied improvement design was used, employing engineering techniques through four methodological phases, from diagnosing and analyzing the problem to analyzing the results. The contribution of this research aligns with improving the level of logistical service through the management of inventories and warehouses, aiming to increase customer satisfaction and thus contribute to the development of more efficient logistics management models tailored to the needs of modern companies. The main improvements include a reduction of 6 days in delivery times, an 80% decrease in the percentage of service orders experiencing stockouts, and a 61% reduction in inventory inaccuracy rates.
KW - 5S
KW - JIT
KW - Logistics Canagement
KW - Metalworking Company
KW - ROP
UR - https://www.scopus.com/pages/publications/105029052331
M3 - Articulo (Contribución a conferencia)
AN - SCOPUS:105029052331
T3 - Proceedings of International Conference on Research in Education and Science
SP - 421
EP - 429
BT - Proceedings of International Conference on Research in Education and Science, ICRES 2025
A2 - Shelley, Mack
A2 - Ozturk, Omer Tayfur
PB - The International Society for Technology Education and Science
Y2 - 28 April 2025 through 1 May 2025
ER -