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#Transportation problems with qm for excel how to
#Transportation problems with qm for excel install
#Transportation problems with qm for excel software

In addition to the characteristics shared by all optimization problems, objective, constraints and variables, transportation problems also have the following characteristics: The video tutorial includes model development, solver setup (adding constraints discussion of the three Solver reports.

#Transportation problems with qm for excel how to

This demonstration goes through a classic textbook example of a relatively simple transportation problem scenario, in which minimizing costs is desired, from three origins to four destinations to give an idea of how to work with this type of problem using Excel’s Solver Add-in. Like general optimization models transportation problems can be either linear or non-linear.

#Transportation problems with qm for excel software

Of course this was long before we had access to spreadsheet software such as Excel to facilitate modeling and solving this type of problem. Transportation optimization is one of the first problems tackled with linear programming, demonstrating the power of this tool for business applications (among others).

Cutting Stock: Determine how to cut larger pieces of wood, steel, etc.Transportation Network Optimization Solver Tutorialįor versions of Excel: Excel for Office 365, Excel for Office 365 for Mac, Excel 2016, Excel 2016 for Mac, Excel 2013, Excel 2011 for Mac, Excel 2010, Excel 2008 for Mac, Excel 2007 Network Transportation Optimization and Linear Programming in Excel.Process Selection - Decide which of several processes (with different speeds, costs, etc.) should be used to make a desired quantity of product in a certain amount of time, at minimum cost.Blending: Determine which raw materials from different sources to blend to produce a substance with certain desired qualities at minimum cost.Machine Allocation: Allocate production of a product to different machines, with different capacities, startup cost and operating cost, to meet production target at minimum cost.Product Mix: Determine how many products of each type to assemble from certain parts to maximize profits while not exceeding available parts inventory.Bond Portfolio Exact Matching: Allocate funds to bonds to maximize portfolio return while ensuring that periodic liabilities are met - with or without reinvestment.Bond Portfolio Management: Allocate funds to bonds to maximize return while ensuring that the portfolio duration equals the investment horizon for maturity - with known or computed durations.

Portfolio Optimization - Sharpe Model (CAPM): Uses Excel's regression functions to calculate alphas and betas for stocks relative to a market index, then uses these to find an efficient portfolio.

Stock Portfolio Management: Uses a VBA macro to optimize several scenarios for minimum risk at different target rates of return, then draws a graph of the efficient frontier.

Portfolio Optimization - Markowitz Model: Allocate funds to stocks to minimize risk for a target rate of return - with known or computed variances and covariances.

Capacity Planning: Determine which plants should be opened or closed.

Cash Management: Determine where to locate lockboxes to minimize the "float" or interest lost to due mailing delays.

Inventory Management: Compare inventory stocking and reordering policies with the EOQ (Economic Order Quantity) model.

Capital Budgeting: Choose a combination of capital projects to maximize overall NPV (Net Present Value).

Working Capital Management: Invest in 1-month, 3-month, and 6-month CDs to maximize interest while meeting cash requirements.

Examples by Functional Area Corporate Finance You can do this any time after signing up.

#Transportation problems with qm for excel install

When you download and install a free trial of our enhanced Solvers for desktop Microsoft Excel, you'll find that more than ninety (90) small, but fully functional, example models are available for your use - covering conventional optimization, simulation and risk analysis, decision analysis (using decision trees), simulation optimization, stochastic optimization, and robust optimization.

You can run all of these models with the basic Excel Solver. Here is a comprehensive list of example models that you will have access to once you login. To learn more, sign up to view selected examples online by functional area or industry. Optimization is a tool with applications across many industries and functional areas.