# Step By Step Optimization With Excel Solver by Mark Harmon

Step By Step Optimization With Excel Solver by Mark Harmon

## Contents of Optimization With Excel Solver eBook

• Reader Testimonials For The Excel Statistical Master
• Excel Solver Overview
• Installing the Excel Solver
• Optimization Basics With Excel Solver
• Always Start By Diagramming the Model On Paper
• Make the Model As Simple and Intuitive As Possible
• Step – Determine the Objective
• Step – Determine the Decision Variables
• Step – Build the Excel Equations That Combine the Objective With All Decision Variables
• Step – List all Constraints
• Step – Test the Excel Spreadsheet
• Step – Insert All Data into the Solver Dialogue Box
• The Objective Cell
• Minimize cr Maximize the Target
• Decision Variables
• Constants
• Make Unconstrained Variables Non-Negative
• Integer Constraints
• Binary Constraints
• Alldifferent Constraints
• Solving Method
• Simplex LP Method
• GRG Nonlinear Method
• Evolutori ry Method
• A Solver Solution’s Possible Degrees of Optimality
• Globally Optimal
• Locally Optimal
• Good
• Convex and Non-Convex Functions
• Solver Option Settings
• All Methods – Option Settings
• GRG Nonlinear Option Settings
• Evolutionary Option Settings
• Interpreting Solver Results Messages
• Messages When Solver Encounters a Problem While Solving
• Solver could not find a feasible solution
• The problem is too large for Solver to handle –
• The Objective Cell values do not converge –
• The linearly conditions requred by this LP Solver are not satisfied
• Solver encountered an error value in the objective cell or a constraint cell
• There is not enough memory available to solve the problem
• Messages When Solver Found a Problem With Constraints
• All variables must h ve both upper and lower bounds
• Variable bounds conflict in binary or alldifferent constraint
• Lower and upper bounds on variables allow no feasible solution ..
• Messages When Solver Finds a Solution S
• Solver found a solution All constraints and optimality conditions are satisfied
• Solver has converged to the current solution Ail constraints are satisfied
• Solver cannot improve the current solution. All constraints are satisfied
• Solver found an -nteger solution within tolerance. All constraints are satisfied
• Solver converged in probability to a global solution
• Messages When ESC Is Pressed or a Solving Limit Is Reached
• Solver stopped at user’s request
• Stop chosen when the max mum time limit was reached
• Stop chosen when the max mum iteration limit was reached
• Stop chosen when the max mum mmber of [integer] subproblems was reached
• Understanding Solver Reports
• Reports Made Available When the Solver Finds a Solution
• The Population Report and How To Read It
• The Limits Report and How To Read It
• The Sensitivity Report nd How To Read It
• Reports Made Available In Certain Situations When a Problem Occurs During a Solver Run S
• The Linearity Report and How To Read It
• The Feastoiity Report and How To Re d It
• Feasibility Bounds Report
• Knapsack Example – Optimizing the Loadng of Limited Compartment SS
• Cutting Stock Example – Optimizng the Cutting ox Strips of Sheet to Minimize Waste
• Machine Selection Example – Selecting Machines to OptimaSy Fiifill an
• Order…_
• Maximizing Employee Satisfaction Example – Optimal Assignment c‘ Company Assets Among Employees For Max mum Satisfaction
• Shipping Cost Minimization Example – Minimizing the Total Cost of Shipping From Multiple Points To Multiple Ponts
• Outbound Marketing Budget Optimization – Reaching Required Number of Prospects As Cheaply As Possible With Outbound Marketing
• Inbound Marketing Budget Optimization – Generating Required Number of Qualified Leads As Cheaply As Possible With Inbound Marketing
• Bond Portfolio Optimization Example – Optimizing the Allocation o’ Bonds in a Portfolio To Maximize Return Idl
• Optimal Investment Selection Example – Maximizing Investment Return Through Optimal Investment Selection
• Supplier Shipping/Purchasing Cost Minimization – Minimizing the
• Total Cost of Purchasing and Shpp ng From Multiple Suppliers
• Traveling Salesman Problem – Using the All efferent Constraint and the Evolutionary Method To Find the Shortest Path To All Customers
• How To Perform Nonlinear Regression and Curve Fitting – Using the
• GRG Nonlinear Method
• Meet Mark the Author
• Check Out the Latest e-Manuals in the Excel Master Series
• To Download the Excel Workbook Containing All Examples In This Manual