Fall 2021 Operations Analytics and Optimization Consultancy
Contact principal
Chronologie
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septembre 16, 2021Début de expérience
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octobre 29, 2021Midway Check-In
-
novembre 30, 2021Fin de expérience
Chronologie
-
septembre 16, 2021Début de expérience
-
octobre 29, 2021Midway Check-In
Optional meeting between students and the organization to ensure that progress is on track halfway through completion. This is a meeting to maintain the course trajectory and answer any additional questions, not a meeting to impart new data.
-
novembre 30, 2021Fin de expérience
Portée de Expérience
Catégories
Analyse des données Opérations Gestion de projetCompétences
operations research data optimization operations management strategy business analyticsIs your organization facing an operational challenge? In this project, upper year Schulich students will address a problem of your choosing, and perform a quantitative analysis to develop actionable recommendations that will improve efficiency and service quality. The focus is on a prescriptive approach; using mathematical and computational techniques to model and gain insight on processes/situations that have not yet arisen.
Apprenant.es
The final project deliverables include:
- A 10-page business report (all mathematical details will be provided in an appendix and computer models will be provided as separate files).
- A 15-minute presentation (10-minute summary and 5-minute Q&A), which industry partners can attend in person or via Zoom.
Chronologie du projet
-
septembre 16, 2021Début de expérience
-
octobre 29, 2021Midway Check-In
-
novembre 30, 2021Fin de expérience
Chronologie
-
septembre 16, 2021Début de expérience
-
octobre 29, 2021Midway Check-In
Optional meeting between students and the organization to ensure that progress is on track halfway through completion. This is a meeting to maintain the course trajectory and answer any additional questions, not a meeting to impart new data.
-
novembre 30, 2021Fin de expérience
Exemples de projets
Starting this September, teams of 4-5 student-consultants from the Schulich School of Business will spend a total of 60 hours per team thorough the semester 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.
Past Projects include:
- A cost comparison between current staffing practices and several new policies for The 10 Spot, a franchise of beauty bars in Toronto.
- A systematic scheduling solution that fairly assigns students to academic cohorts while ensuring institutional requirements are upheld.
- An analysis of potential rural bus routes and stop locations for the Municipality of Chatham-Kent and surrounding counties.
Students will use various tools and processes including, but not limited to:
- Mathematical Optimization (e.g., linear and nonlinear programming, multi-objective models).
- Computer simulations (e.g., stochastic programming, Monte Carlo).
Project proposals must answer the following questions to be considered for inclusion in this course:
- What problems/opportunities would you like student teams to address through this project? Please be specific.
- What are the benefits of this project to your organization/customers? Please describe the desired recommendations.
- What organizational data set(s) will you providing to student teams? Please describe the format and the volume.
Possible areas of focus for this project include, but are not limited to:
- Transportation and Routing
- Inventory Management
- Aggregate Planning
- Asset Allocation and Insurance
- Supply Chain Management
- Employee/Customer Scheduling
- Targeted Advertising
- Energy Management
- Risk Management
- Process Analysis
- Revenue Management
- Production Planning
Critères supplé mentaires pour entreprise
Les entreprises doivent répondre aux questions suivantes pour soumettre une demande de jumelage pour cette expérience:
Contact principal
Chronologie
-
septembre 16, 2021Début de expérience
-
octobre 29, 2021Midway Check-In
-
novembre 30, 2021Fin de expérience
Chronologie
-
septembre 16, 2021Début de expérience
-
octobre 29, 2021Midway Check-In
Optional meeting between students and the organization to ensure that progress is on track halfway through completion. This is a meeting to maintain the course trajectory and answer any additional questions, not a meeting to impart new data.
-
novembre 30, 2021Fin de expérience