Scott Thomas
About Scott Thomas
Scott Thomas is a Reliability and Production Modeling Engineer at Procter & Gamble with extensive experience in discrete event simulation, continuous improvement, and data analysis.
Company: Procter & Gamble
Scott Thomas is currently working as a Reliability and Production Modeling Engineer in the Supply Chain department at Procter & Gamble. He has been with the company since 2007, operating out of Belleville, Ontario. Scott contributes to the company by utilizing his expertise in discrete event simulation and continuous improvement to enhance operational efficiency.
Previous Experience: General Mills
Prior to his current role at Procter & Gamble, Scott Thomas was employed at General Mills as a System Engineer. He worked there for five years, from 2002 to 2007, in Trenton, Ontario. In this position, he gained valuable experience in systems engineering, which laid the groundwork for his extensive skills in reliability and production modeling.
Previous Experience: Unimin
Scott Thomas also worked at Unimin as a Mineral Processing Engineer from 2001 to 2003 in Spruce Pine, NC. This role provided him with a foundational understanding of mineral processing and system optimization, contributing to his proficiency in data analysis and process improvement.
Previous Experience: Procter & Gamble (Project Engineer)
Before his extended tenure at Procter & Gamble, Scott served as a Project Engineer for the company from 1999 to 2001 in Belleville, Ontario. During this period, he worked on various projects, honing his skills in project management and engineering.
Education: University of New Brunswick
Scott Thomas completed his Bachelor's degree in Chemical Engineering at the University of New Brunswick, graduating with a Bachelor of Engineering (BE) in 1999. His academic background provided him with a strong foundation in engineering principles which he has applied across multiple roles throughout his career.
Expertise in Discrete Event Simulation
Scott Thomas has extensive experience in discrete event simulation, a technique used to model the operation of a system as a discrete sequence of events in time. This expertise allows him to optimize supply chain operations and improve production modeling practices effectively.
Skills in Continuous Improvement and Data Analysis
Scott Thomas possesses strong skills in continuous improvement, focusing on enhancing processes and systems within the supply chain. His robust background in data analysis supports decision-making processes, enabling more efficient and effective supply chain and production modeling.