Starting this August, student-consultants from the Schulich School of Business will spend 60 hours per team of 4-5, working to improve your operational processes and service delivery.

Through applying quantitative research methodologies, mathematical concepts, and computational tools, students will identify areas where your processes can be improved or your operations streamlined.

Using Microsoft Excel and the Python programming language, they will analyze your organizational data and provide managerial insight on how you can increase productivity, improve efficiency, lower costs, and deliver a consistently better quality product or service.

Students will use various tools and processes including, but not limited to:

• Mathematical programming (e.g., linear, nonlinear and stochastic optimization, goal programming).
• Dynamic programming (both deterministic and stochastic).
• Computer simulations (monte carlo and discrete-event).

Possible areas of focus include, but are not limited to:

• Transportation and routing
• Inventory management
• Aggregate planning
• Asset allocation and Insurance
• Supply chain Management
• Employee scheduling
• Targeted advertising
• Energy management
• Risk management
• Process analysis
• Revenue management
• Policy evaluation
• Optimal stopping
• Appointment scheduling
• Financial management
• Inventory modelling
• Production
• Logistics