Lean six sigma based optimization of transportation processes at schneider electric’s logistics centre

Abstract

This thesis explores how Lean Six Sigma can be used to improve transport and communication processes with logistics providers at Schneider Electric. The study focuses on the delivery phase, where the absence of a clear system for choosing transport providers has led to inefficiencies, such as using more expensive options or mismatched trucks. Our objective was both academic and practical: to understand the root causes of these issues and propose solutions that could benefit the company in real, measurable ways. We applied the Lean Six Sigma DMAIC method to guide our approach, combining data analysis with process improvement tools. To build our study, we analysed 264 delivery lines from the past three months using invoice data, and we conducted four formal interviews, in addition to many informal discussions and brainstorming sessions with team members. The results highlighted key gaps in both communication and decision-making. In response, we proposed several improvements, including clearer selection criteria and better coordination practices. This work shows how Lean Six Sigma can help streamline logistics operations and support more effective communication with external partners.