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An Introduction to Management Science - Quantitative Approaches to Decision Making (Hardcover, International Edition) Loot Price: R614
Discovery Miles 6 140
You Save: R106 (15%)
An Introduction to Management Science - Quantitative Approaches to Decision Making (Hardcover, International Edition): Jeffrey...
An Introduction to Management Science - Quantitative Approaches to Decision Making (Hardcover, International Edition): Jeffrey...

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An Introduction to Management Science - Quantitative Approaches to Decision Making (Hardcover, International Edition)

Jeffrey Ohlmann, James Cochran, Michael Fry, Jeffrey D Camm, David Anderson, Thomas Williams, Dennis Sweeney

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List price R720 Loot Price R614 Discovery Miles 6 140 | Repayment Terms: R57 pm x 12* You Save R106 (15%)

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Reflecting the latest developments in Microsoft (R) Office Excel (R) 2013, Anderson/Sweeney/Williams/Camm/Cochran/Fry/Ohlmann's AN INTRODUCTION TO MANAGEMENT SCIENCE: QUANTITATIVE APPROACHES TO DECISION MAKING, 14E equips readers with a sound conceptual understanding of the role that management science plays in the decision-making process. The trusted market leader for more than two decades, the book uses a proven problem-scenario approach to introduce each quantitative technique within an applications setting. All data sets, applications, and screen visuals reflect the details of Excel 2013 to effectively prepare you to work with the latest spreadsheet tools. In addition, readers can get a copy of LINGO software and Excel add-ins with the book's online content.

General

Imprint: South-Western College Publishing
Country of origin: United States
Release date: October 2014
First published: 2015
Authors: Jeffrey Ohlmann • James Cochran • Michael Fry • Jeffrey D Camm • David Anderson • Thomas Williams • Dennis Sweeney
Dimensions: 261 x 210 x 39mm (L x W x T)
Format: Hardcover - Cloth over boards
Pages: 912
Edition: International Edition
ISBN-13: 978-1-111-82361-0
Barcode: 9781111823610
Categories: Promotions
Books > Business & Economics > Economics > Econometrics > Economic statistics
LSN: 1-111-82361-8

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