Step By Step Optimization With Excel Solver by Mark Harmon

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 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

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