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Title TBD

In 2023, Target expects that 17.7M cartons on a weekly basis within RDCs must be processed through automated print and apply technologies to maximize throughput and productivity efficiency. Inbound logistics struggles to meet these throughput goals during peak weeks due to the lack of defined loading criteria and load sequencing in trailers destined for Target from 3PL Consolidator and De-consolidator facilities. This project focuses on developing standardized loading and unloading sequencing criteria for 3PL partners originating from these facilities to meet peak weekly throughput demands at RDCs.

Student Team:

Alexios Avrassoglou – EGL (BSE/MSE Industrial and Operations Engineering)
Santiago Currea – EGL (BSE/MSE Industrial and Operations Engineering)
Austin Tauber – EGL (BSE Chemical/MSE Industrial and Operations Engineering)

Project Sponsors:

Kyle Murphy – Director, Field Operations
Amanda Zimmerman – Director, Supply Chain

Faculty Advisors:

Andrew Wu – Ross School of Business
Lei Ying – College of Engineering