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 Answer Report nd How To Read It
- 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
