Decision Modeling with Microsoft(R) Excel (6th Edition) Review

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(More customer reviews)Decision Modeling with Microsoft(R) Excel gives a good overview of using Excel to address various linear optimization problems, decision analysis, and event simulation that one might encounter as a manager of a company. The book oozes with examples and case study snippets, helping one see the practicality of the models as tools in exploring decisions.
While Excel has a lot of features, one cannot help but feel like it's a hammer in search of nails. For example, LINDO (not included on the disk) may be easier to work with than the Excel Solver for some problems. Similarly, tools like Crystal Ball, which is included on the CD and runs within Excel, are rarely mentioned.
Many of the included Excel macros were based on Excel version 4, meaning that if you have more recent versions, like Excel 2000, you may encounter difficulties loading them because the security model for the earlier macros is different. You can work around this by selecting Tools -> Macros -> Security, setting medium security, then selecting Tools -> AddIns and loading the macro (e.g., Treeplan). Once you do this, you can set security back to "High" for better protection.

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For undergraduate/MBA-level courses in Management Science and Decision Modeling.This text introduces students to the key ideas of modeling and management decision making that will be important to them throughout their careers. Addressing the needs of students interested in both business administration and decision science careers, it provides a conceptual foundation for all topics and the role of spreadsheet modeling techniques in the larger context of business decision-making. It features a wealth of realistic, relevant examples updated to reflect the latest Excel 2000 version, and actively engages students in model building and analysis. An accompanying CD-ROM contains extensive software application packages students will use long after the course is completed.

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