TY - GEN
T1 - Improving efficiency in Perfect Order management through a unified model of PDCA, Order Management System, and Blockchain
T2 - 5th IEEE International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2025
AU - Odria-Lafosse, Bryan
AU - Alvarez-Flores, Ariadna
AU - Elias-Giordano, Cynthia
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This study addresses inefficiency in perfect order management at a company in Lima, Peru that trades and imports medical equipment, a problem that negatively affects customer satisfaction and operating costs. This issue is especially relevant in the healthcare sector, where accuracy and timeliness are critical. Prior efforts in the area have explored process optimization through methodologies such as PDCA and order management technologies, without integrating emerging tools such as Blockchain to ensure traceability and control across the entire supply chain. The proposal of this study lies in the combined implementation of PDCA methodologies, an Order Management System (OMS), and Blockchain to optimize accuracy and efficiency in order delivery. Validation was carried out through an experimental design that evaluated key order management indicators such as On Time In Full (OTIF), documentation errors, and product damage. The main results show a 15% improvement in the perfect order rate, exceeding the sector average. In conclusion, the integration of these tools not only increases the company's operational efficiency but also establishes a replicable framework for other organizations in critical sectors.
AB - This study addresses inefficiency in perfect order management at a company in Lima, Peru that trades and imports medical equipment, a problem that negatively affects customer satisfaction and operating costs. This issue is especially relevant in the healthcare sector, where accuracy and timeliness are critical. Prior efforts in the area have explored process optimization through methodologies such as PDCA and order management technologies, without integrating emerging tools such as Blockchain to ensure traceability and control across the entire supply chain. The proposal of this study lies in the combined implementation of PDCA methodologies, an Order Management System (OMS), and Blockchain to optimize accuracy and efficiency in order delivery. Validation was carried out through an experimental design that evaluated key order management indicators such as On Time In Full (OTIF), documentation errors, and product damage. The main results show a 15% improvement in the perfect order rate, exceeding the sector average. In conclusion, the integration of these tools not only increases the company's operational efficiency but also establishes a replicable framework for other organizations in critical sectors.
KW - Blockchain
KW - Order management
KW - Order Management System
KW - PDCA
KW - Smart Contracts
UR - https://www.scopus.com/pages/publications/105033479300
U2 - 10.1109/ICALTER69698.2025.11355116
DO - 10.1109/ICALTER69698.2025.11355116
M3 - Contribución a la conferencia
AN - SCOPUS:105033479300
T3 - Proceedings of the 2025 IEEE 5th International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2025
BT - Proceedings of the 2025 IEEE 5th International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2025
A2 - Ramirez, Gianpierre Zapata
A2 - Arias, Heyul Chavez
A2 - Ibanez, Carlos Raymundo
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 11 December 2025 through 13 December 2025
ER -