We Believe That Manufacturing Is Essential to Life

Faced with increasing factory complexity, some people, not wanting to take any risks, choose to oversize their factory with the consequence of an overinvestment that can be worth millions of euros. Some others rely on organizational theories that are sometimes satisfactory but not always, like all theories (e.g., theory of constraint). At Dillygence, we use science and technology to tackle factories' challenges. No more dice!
In 2016, when we looked at existing tools, we saw products with very long runtime, too slow to allow the exploration of thousands of options needed to find optimal solutions. Access to these tools was limited to experts, and their usage was restricted to factory design - no possible use in operation. The situation drastically limited the use of a scientific approach in factory design and function, thereby feeding the success of organizational theories.
Solving complex problems and delivering user-friendly solutions requires people with expertise and different backgrounds who produce and churn ideas that lead to superior solutions. Our team is uniquely equipped to this end. Most importantly, they all share a deep understanding of factory physics.
A former scholar at MIT, an expert in industrial performance and Industry 4.0, with more than 20 years of experience in expert and management positions in large companies - HEC degree, Engineer in Robotics and AI, Ph.D. in Automation.
An expert in simulation and advanced analytics, he co-founded Analytics Operations Engineering and has worked on behalf of many large companies in the United States - an MIT graduate.
A graduate of both the University of California, Berkeley and Centrale Paris, he is an expert in data science and a tireless problem solver.
A world-renowned expert in production systems, operations research, and advanced analytics, he was a Senior Research Scientist at the Department of Mechanical Engineering and at the Laboratory for Manufacturing and Productivity at MIT since 1988 - Ph.D. in applied mathematics from Harvard
More than 25 years of expertise in operational performance, supply chain management, and management of large industrial and IT projects acquired in the automotive industry and in consulting. He is also an expert of supply chain planning, demand management and of inventory management.