Operations Optimization Consultancy

OMIS 4000
Closed
Schulich School of Business
Toronto, Ontario, Canada
Associate Professor
(1)
3
Timeline
  • September 5, 2018
    Experience start
  • September 27, 2018
    Project Scope Meeting
  • October 25, 2018
    Midway Check In
  • November 29, 2018
    Experience end
Experience
2 projects wanted
Dates set by experience
Preferred companies
Anywhere
Any
Any industries

Experience scope

Categories
Operations Project management
Skills
operations research data optimization presentation skills simulation operations management
Learner goals and capabilities

Students will work to increase efficiency and improve service quality of your organization by applying operations research methods and quantitative analysis to recommend actionable improvements.

Learners

Learners
Undergraduate
Any level
35 learners
Project
15 hours per learner
Learners self-assign
Teams of 4
Expected outcomes and deliverables

The final project deliverables include:

  • A 10-page report.
  • A 20-minute presentation (15-minute summary and 5-minute Q&A), which industry partners can attend in person or via Skype.
Project timeline
  • September 5, 2018
    Experience start
  • September 27, 2018
    Project Scope Meeting
  • October 25, 2018
    Midway Check In
  • November 29, 2018
    Experience end

Project Examples

Requirements

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

Additional company criteria

Companies must answer the following questions to submit a match request to this experience:

Be available for a quick phone call with the professor to initiate your relationship and confirm your scope is an appropriate fit for the course.

Provide an overview of the area you want students to focus on over the course of the assignment to kick off the project.

Be available for 1-3 brief meetings with the student group during the semester.

Provide feedback on the final reports and presentations by December 7th.

Provide a detailed data set or in-depth case analysis for the students to work with prior to the start of the fall semester (i.e., September 6, 2018)