An Introduction to Management Science: Quantitative - download pdf or read online

By David R. Anderson

ISBN-10: 1111532222

ISBN-13: 9781111532222

Achieve a legitimate conceptual figuring out of the function that administration technology performs within the decision-making procedure with the most recent version of the publication that has outlined state-of-the-art administration technological know-how direction: Anderson/Sweeney/Williams/Camm/Martin's AN creation TO administration technological know-how: QUANTITATIVE techniques TO choice MAKING, REVISED thirteenth version. The depended on industry chief for greater than twenty years, the recent version now prepares readers for achievement with the most recent advancements in Microsoft workplace Excel 2010, together with information units, functions and reveal visuals all through that replicate Excel 2010. Readers research from the book's confirmed applications-oriented process, strong examples, and problem-scenario technique that introduces each one quantitative process inside of an purposes surroundings. Readers can get a duplicate 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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Additional info for An Introduction to Management Science: Quantitative Approaches to Decision Making, Revised (with Microsoft Project and Printed Access Card)

Example text

The impact of operations research on everyday living over the past 20 years is substantial. Suppose you schedule a vacation to Florida and use Orbitz to book your flights. An algorithm developed by operations researchers will search among millions of options to find the cheapest fare. Another algorithm will schedule the flight crews and aircraft used by the airline. If you rent a car in Florida, the price you pay for the car is determined by a mathematical model that seeks to maximize revenue for the car rental firm.

Explain. 9. t.

For example, suppose that a demand forecast indicates that 500 units of the product can be sold. The decision to produce and sell the 500 units results in a projected profit of P(500) = - 3000 + 3(500) = -1500 In other words, a loss of $1500 is predicted. If sales are expected to be 500 units, the manager may decide against producing the product. However, a demand forecast of 1800 units would show a projected profit of P(1800) = - 3000 + 3(1800) = 2400 This profit may be enough to justify proceeding with the production and sale of the product.

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An Introduction to Management Science: Quantitative Approaches to Decision Making, Revised (with Microsoft Project and Printed Access Card) by David R. Anderson


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