Operations Research

Download An Introduction to Management Science: Quantitative by David R. Anderson PDF

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By David R. Anderson

Achieve a legitimate conceptual knowing of the function that administration technological know-how performs within the decision-making method with the most recent variation of the booklet that has outlined brand new administration technology path: Anderson/Sweeney/Williams/Camm/Martin's AN creation TO administration technology: QUANTITATIVE methods TO selection MAKING, REVISED thirteenth version. The relied on marketplace chief for greater than 20 years, the recent variation now prepares readers for fulfillment with the most recent advancements in Microsoft workplace Excel 2010, together with information units, functions and display visuals all through that replicate Excel 2010. Readers research from the book's confirmed applications-oriented procedure, robust examples, and problem-scenario strategy that introduces every one quantitative approach inside an functions surroundings. Readers can get a replica of LINGO software program and Excel add-ins with the book's on-line content material. a replica of the preferred Microsoft undertaking expert 2010 accompanies the ebook on CD.

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Extra info for An Introduction to Management Science: Quantitative Approaches to Decision Making, Revised (with Microsoft Project and Printed Access Card)

Example text

Managers need to be able to know the profit implications of their decisions. If we assume that we will only produce what can be sold, the production volume and sales volume will be equal. 4) to develop a profit-volume model that will determine the total profit associated with a specified production-sales volume. 5) Thus, the profit-volume model can be derived from the revenue-volume and cost-volume models. 5), we can now determine the total profit associated with any production volume x. For example, suppose that a demand forecast indicates that 500 units of the product can be sold.

In this step, the analyst will attempt to identify the values of the decision variables that provide the “best” output for the model. The specific decision-variable value or values providing the “best” output will be referred to as the optimal solution for the model. For the production problem, the model solution step involves finding the value of the production quantity decision variable x that maximizes profit while not causing a violation of the production capacity constraint. One procedure that might be used in the model solution step involves a trial-and-error approach in which the model is used to test and evaluate various decision alternatives.

Through the use of these models, a manager can determine the projected cost, revenue, and/or profit associated with an established production quantity or a forecasted sales volume. Financial planning, production planning, sales quotas, and other areas of decision making can benefit from such cost, revenue, and profit models. Cost and Volume Models The cost of manufacturing or producing a product is a function of the volume produced. This cost can usually be defined as a sum of two costs: fixed cost and variable cost.

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