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Managerial Decision Models

MGT 3120 and MBA 8590
Closed
Clemson University
Clemson University
Clemson, South Carolina, United States
David Peyton
Clinical Assistant Professor
4
Timeline
  • September 2, 2024
    Experience start
  • September 16, 2024
    Project Scope Meeting
  • November 29, 2024
    Experience end
Experience
3/3 project matches
Dates set by experience
Preferred companies
Anywhere
Small to medium enterprise
Any industries
Categories
Marketing analytics Data visualization Data modelling Market expansion Product or service launch
Skills
problem solving managerial decisions analytics
Learner goals and capabilities

Looking to elevate your organization, and bring it to the next level? Bring on learners from Clemson University to be your learner-consultants, in a project-based experience. Learners will work on one main project over the experience of the semester, connecting with you as needed with virtual communication tools.


Learners in this program/experience will learn and apply various decision modeling tools, such as Queueing Theory, Bayes decision analysis, network optimization, make/buy analysis, breakeven analysis, assignment, resource allocation with the utilization of linear programming and/or simulations. They will also have extensive descriptive and predictive analytic capabiities.

Learners
Graduate
Any level
50 learners
Project
30 hours per learner
Educators assign learners to projects
Teams of 5
Expected outcomes and deliverables

Deliverables are negotiable, and will seek to align the needs of the learners and the organization. 


Some final project deliverables might include: 

  1. A 10-15 minute presentation on key findings and recommendations
  2. A detailed report including their research, analysis, insights and recommendations


Project timeline
  • September 2, 2024
    Experience start
  • September 16, 2024
    Project Scope Meeting
  • November 29, 2024
    Experience end
Project Examples

Learners in groups of 3-5 will work with your company to identify your needs and provide actionable recommendations, based on their in-depth research and analysis.


Project activities that learners can complete may include, but are not limited to: 


•Evaluate the effect of capacity on waiting time using queueing models.

•Build a simulation model for a decision problem and analyze the results

•Evaluate decision alternatives in an uncertainty environment using decision trees.

•Formulate and classify several different types of linear programming models and evaluate

the sensitivity of the model parameters. What-if modeling, as well.

•Interpret and discuss the results of the models in a managerial setting.

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

Be available for a quick phone/virtual call with the instructor to initiate your relationship and confirm your scope is an appropriate fit for the experience.

Provide a dedicated contact person who is available for weekly/bi-weekly drop-ins to address learners’ questions as well as periodic messages over the duration of the project.

How is your project relevant to the experience?