Tony Alfonsi
Logistics Planning Engineer @Daimler Truck North America
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WORK HISTORY
Logistics Planning Engineer @Daimler Truck North America
Detroit, MI, US
Researches, develops, plans and implements material flow strategies within the manufacturing plant including manpower planning, equipment availability, and unit packaging readiness using lean manufacturing concepts-Serves as the logistics project lead for all topics associated with material flow and packaging for heavy duty engines, plus new product launches and continuous improvement projects-Plans and directs activities regarding the design and development of protective packaging containers, while interacting with existing and future suppliers to initiate and implement packaging improvements-Ensures material flow plans align with manufacturing engineering planning, while complying with ergonomic, safety and lean manufacturing requirements-Acts as primary point of contact to investigate, address and resolve packaging issues between customers and suppliers-Includes design and procurement of equipment, delivery tracking, implementation and sign off from operations-Presents results of workshops/projects/status to management-Received Lean Specialist certification after completion of lean manufacturing project for optimization of small lot part replenishment-Production supervision during weekend shifts.
EDUCATION
Michigan State University - Eli Broad College of Business
Bachelor of Arts - BA, Supply Chain Management
Central Michigan University
Master of Business Administration - MBA, Business Data Analytics
Michigan State University College of Arts and Letters
Bachelor of Arts - BA, German Language and Literature
The University of Freiburg
German Studies
ABOUT TONY ALFONSI
Highly motivated and team-oriented supply chain professional currently working in the automotive industry. I am a Michigan State Alumnus with 2 BA\'s, Supply Chain Management and German, and Central Michigan University with an MBA focused on business analytics. I have international experience, along with a high understanding of the German language. As I dive further into my career, I look to advance my knowledge of the supply chain and utilize data to better predict, understand, and solve problems.
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