for joint research with J. F. Bard
Workforce planning in manufacturing and services PhD thesis
For my client, a utility provider (21000 employees, 17 billion USD revenue), I have built a digital twin to get a better understanding of the wind farm operations and maintenance requirements for contract negations with a service provider. My simulation model allowed us to analyze profitability, operating costs, and service levels for scenarios featuring boats, helicopters, and maintenance crew.
My client (Bain & Company, Management consulting, USA, 19000 employees, 6 billion USD revenue) had built an initial mathematical optimization model to form control and test groups out of a population that lacked several capabilities and could have performed better under certain circumstances. I took over the development of the model and transformed it into a reliable tool capable of handling a wide range of use cases. I have also built a Tabu search heuristic for particular complex use cases. We made the tool accessible to external and internal end users as a web app using the Dash library.
I have advised a producer of medical devices (4000 employees, 1.2 bn. USD revenue) regarding their new sales territories after a merger with another company. I used data on historical sales volumes and two algorithms integrated into an easy-to-use spreadsheet. My client used the initial solution as a starting point. Moreover, despite the tool being intended for a one-time analysis, the client continued using it when changes occurred.
I have built a mathematical optimization model and dashboard to evaluate the production footprint of a food producer with 3500 employees and 1.4 bn USD revenue to consolidate their network so that they could compete with low-cost vendors entering the market. Management ended up shutting down 10 of the existing 13 sites.
I have built a mathematical optimization model to optimize my client’s network design, considering several distribution channels (brick-and-mortar business, e-commerce, dropshipping, ...) and a Tableau dashboard to visualize the solutions and KPIs (speed-to-customer, operating costs, capital expenditures, ...). Finally, management implemented a strategy to extend specific stores with picking and packing areas to achieve a high service level for their E-commerce business.
I help businesses make better decisions by leveraging advanced analytics. I have a Ph.D. in operations research and experience solving challenging business problems in manufacturing, the food industry, retail, and the air-traffic industry.
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