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Excel: Using Solver for Decision Analysis

Excel: Using Solver for Decision Analysis

1h 53mIntermediate2022-11-10

Authors

Curt Frye

Curt Frye

President of Technology and Society, Incorporated

Course details

You can use Excel's Solver function to find optimal solutions to a wide range of problems, from simple to complex. In this course, Excel power user Curt Frye shows you how, with a wide range of potential challenges. Curt explains the basics of working with Solver and gives you a chance to create a Solver model. He steps through how to tune investment portfolios, then goes over the specific approach that you need to use Solver for resource placement analysis. Plus, Curt covers the process of decision tree analysis in Excel.

Skills covered

Decision-MakingSpreadsheetsMicrosoft ExcelProfessional DevelopmentLeadership and ManagementBusiness Software and ToolsMicrosoftDeep Dive (X:Y)

Concepts

0. Introduction

  • 01 - Optimize your analysis in Excel
  • 02 - What you should know before starting

1. Working with Solver

  • 03 - Find target values using Goal Seek
  • 04 - Introduce linear, nonlinear, and evolutionary programming
  • 05 - Install the Solver add-in on Windows
  • 06 - Organize a worksheet for use in Solver
  • 07 - Find a solution using Solver
  • 08 - Challenge - Create a Solver model
  • 09 - Solution - Create a Solver model

2. Tuning Investment Portfolios

  • 10 - Introduce the problem
  • 11 - Organize the worksheet
  • 12 - Create objective and control formulas
  • 13 - Create and run the Solver model
  • 14 - Experiment with different constraints
  • 15 - Challenge - Tune an investment portfolio
  • 16 - Solution - Tune an investment portfolio

3. Optimizing Resource Placement

  • 17 - Introduce the problem
  • 18 - Organize the worksheet
  • 19 - Map store and depot locations
  • 20 - Create objective and control formulas
  • 21 - Create and run the Solver model
  • 22 - Extend the model by adding population density
  • 23 - Challenge - Optimize resource placement
  • 24 - Solution - Optimize resource placement

4. Defining Decision Trees

  • 25 - Introduce the problem
  • 26 - Organize the worksheet
  • 27 - Calculate the probability of reaching a node
  • 28 - Calculate the expected value for the tree
  • 29 - Challenge - Define a decision tree
  • 30 - Solution - Define a decision tree

Conclusion

  • 31 - Additional resources

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