Advice / Collaborating on a Research Project in Your Company
Operations Research is highly relevant for optimizing processes across many industries. My group has notably conducted research in
- Transportation,
- Supply Chain,
- Revenue Management,
- Manufacturing,
- Predictive Maintenance,
and I provide advice to companies in
- Energy,
- Healthcare,
- Drug development.
As detailed on my research page and in this blog post, I have a strong preference for applying these concepts to industry. Our algorithms often go into production and have received awards for excellence in practice.
I am always happy to discover new industries and discuss with practitioners (OR experts, industrial directors, research directors, etc.) about
- identifying opportunities to apply AI to optimize industrial processes,
- technical difficulties on current projects,
- building the algorithmic architecture of new projects,
- building the next generation of algorithms.
Please email me if you are interested in such a discussion. However, I receive many such solicitations and days have only 24 hours. Please excuse me if I cannot follow up. I will be more likely to accept a first encounter if you propose
- a lunch near the 12th arrondissement of Paris,
- a phone call for 18:00 to 18:20 CET on a weekday (except Friday).
When working with the industry, we generally adhere to the following steps
- a first encounter to evaluate if there is potential for collaboration
- a 5 to 10 day study to model the problem, evaluate the potential for research, and design algorithms
- Depending on the conclusions of the study
- If there is no need for research, we recommend “off-the-shelf algorithms” to your internal team and answer any technical questions that may arise. If you don’t have such a team, you may consider recruiting an intern from École des Ponts.
- If there is a need for research, then we can collaborate and consider recruiting an intern or a PhD student.
This is how all our long term partnerships with the industry started.