A Professional's Guide to Problem Solving with Decision Science

By: Frank a Tillman, Deandra T Cassone

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Paperback | 15 January 2018 | Edition Number 2

At a Glance

Paperback
298 Pages

Dimensions(cm)
22.9 x 15.2 x 1.6

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Drawing on vast experience, the authors show how to apply state-of-the-art decision science, statistical modeling, benchmarking, and process modeling techniques together to create a robust analytical framework for better decision making. They integrate both new and time-tested techniques into a logical structured approach for assessing issues, developing solutions and making decisions that drive the successful achievement of business goals.

This book integrates new and existing methods to provide a comprehensive and holistic approach for assessing company performance and identifying areas for corporate improvement efforts. The goal is to get people to think of the big picture, understand the tools and techniques and put together the conceptual and analytical pieces to solve corporate-wide problems. The difficulty is to know when and where you should use these concepts. This book focuses on structured analysis processes that you can use to quantify, explore, and solve problems from a cross-functional perspective.

Coverage includes defining objectives; exploring the environment; scoping and prioritizing problems; applying data mining and statistical analysis; selecting the appropriate methods and tools; executing solutions; measuring and evaluating results; and more. Case study chapters walk through the effective use of the authors' framework in diverse corporate environments and demonstrate its exceptional adaptability.

Industry Reviews

Institute of Industrial and Systems Engineering

BOOK OF THE MONTH

"Make the right decision - Bringing science to the process of solving high-level problems.

For anyone seeking an outline and strategies to help make decisions at the highest level, look no further.

Frank A. Tillman, an IIE fellow and former board of trustees member, and Deandra T. Cassone bring together decades of experience from high-level corporations.and government institutions. They show how to apply modern decision science, statistical modeling. benchmarking and process modeling techniques for a robust analytical framework that works that works for better decision making in any field."

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