TY - GEN
T1 - Integrated Model for Order Fulfillment
T2 - 11th World Congress on Mechanical, Chemical, and Material Engineering, MCM 2025
AU - Hipolito-Osorio, Mylena
AU - Siles-Olivera, Allison
AU - Mendez-Pallares, Baldomero
AU - Velásquez-Costa, José
N1 - Publisher Copyright:
© 2025, Avestia Publishing. All rights reserved.
PY - 2025
Y1 - 2025
N2 - The low Order Fill Rate (OFR) remains one of the main logistical inefficiencies in distribution companies, directly impacting customer satisfaction and operational profitability. This paper presents an integrated methodology to optimize the OFR through the standardization of order management processes, improvement of internal warehouse flow, and automation of the picking process. The proposed solution integrates continuous improvement tools such as Standard Work (SW) and 5S, enhanced by generative artificial intelligence (GenAI), Systematic Layout Planning (SLP), and emerging technologies such as Warehouse Management Systems (WMS) and pick-by-vision augmented reality. The diagnosis identified a technical gap of 7.14% in the OFR, resulting in an annual revenue loss of 9.09%. Through simulation, significant improvements were validated in order preparation, product location, and customer coordination, approaching the target of 98% fulfillment. This methodology demonstrates that the integration of Lean approaches with digital technologies can significantly enhance operational efficiency in distribution processes.
AB - The low Order Fill Rate (OFR) remains one of the main logistical inefficiencies in distribution companies, directly impacting customer satisfaction and operational profitability. This paper presents an integrated methodology to optimize the OFR through the standardization of order management processes, improvement of internal warehouse flow, and automation of the picking process. The proposed solution integrates continuous improvement tools such as Standard Work (SW) and 5S, enhanced by generative artificial intelligence (GenAI), Systematic Layout Planning (SLP), and emerging technologies such as Warehouse Management Systems (WMS) and pick-by-vision augmented reality. The diagnosis identified a technical gap of 7.14% in the OFR, resulting in an annual revenue loss of 9.09%. Through simulation, significant improvements were validated in order preparation, product location, and customer coordination, approaching the target of 98% fulfillment. This methodology demonstrates that the integration of Lean approaches with digital technologies can significantly enhance operational efficiency in distribution processes.
KW - 5S
KW - Augmented Reality (Pick-by-Vision)
KW - Order Fill Rate
KW - Standard Work
KW - Systematic Layout Planning (SLP)
KW - Warehouse Management System (WMS)
UR - https://www.scopus.com/pages/publications/105021834425
U2 - 10.11159/icmie25.186
DO - 10.11159/icmie25.186
M3 - Contribución a la conferencia
AN - SCOPUS:105021834425
SN - 9781990800603
T3 - Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering
BT - Proceedings of the 11th World Congress on Mechanical, Chemical, and Material Engineering, MCM 2025
A2 - Qiu, Huihe
A2 - Zhang, Yuwen
A2 - Iasiello, Marcello
PB - Avestia Publishing
Y2 - 19 August 2025 through 21 August 2025
ER -