Integrated Model for Order Fulfillment: Standard Work with GenAI, SLP, WMS, and Augmented Reality in Distribution Operations

Hipolito-Osorio M.; Siles-Olivera A.; Mendez-Pallares B.; Velásquez-Costa J. · Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering (2025) · DOI: 10.11159/icmie25.186

Resumen

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.

Instituciones: Universidad Peruana de Ciencias Aplicadas