Professional's Guide to Decision Science and Problem Solving An Integrated Approach for Assessing Issues, Finding Solutions, and Reaching Corporate Objectives

Name: Professional's Guide to Decision Science and Problem Solving An Integrated Approach for Assessing Issues, Finding Solutions, and Reaching Corporate Objectives
Price: 71.17 USD
Availability: InStock
ISBN: 9780132869782

ISBN-10: 0132869780

ISBN-13: 9780132869782

Edition: 2012 (Revised)

Authors: Frank A. Tillman, Deandra T. Cassone

List price: $64.99

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A Professional's Guide to Decision Science and Problem Solving provides an integrated, start-to-finish framework for more effective problem solving and decision making in corporations. Drawing on vast experience in the field, the authors show how to apply state-of-the-art decision science, statistical modeling, benchmarking, and processing modeling techniques together to create a robust analytical framework for better decision making in any field, especially those that rely on advanced operations management. They integrate both newly-developed and time-tested techniques into a logical, structured approach for assessing corporate issues, developing solutions, and making decisions that drive…

Book details

List price: $64.99
Copyright year: 2012
Publisher: Pearson Education, Limited
Publication date: 1/24/2012
Binding: Hardcover
Pages: 280
Size: 6.00" wide x 9.00" long x 0.75" tall
Weight: 0.462
Language: English

Dr.Frank A. Tillman(Gravois Mills, MO) is President of the management consultancies HTX International and IBES, Inc. He served as Department Head at Kansas State University, where he published more than 50 professional articles and two books, and advised several Masters and Ph.D. theses. Dr.Deandra T. Cassone(Overland Park, KS) is Logistics Manager at Sprint and Adjunct Assistant Professor, Systems Engineering at Missouri University of Science and Technology. She has spent over 25 years in industry consulting and management roles. Her interests include building structured decision-making models; she has submitted numerous business process patents.



Acknowledgments


About the Authors


Preface



The Method



Define the Objectives and Identify Metrics



Chapter Topic



Key Corporate Participants



Management Steps Required to Execute the Approach



Solving the Right Problem



Developing an Understanding of the Problem



Defining Goals and Objectives of a Company or Organization



Defining the Framework for the Decisions Being Made



Metrics for Measuring Success



Definition of a Metric



Developing Decision Criteria and Metrics



Data Used to Support Metrics



Structure and Definition of the Problem



Key Concepts in Defining the Objectives



Explore the Environment



Chapter Topic



Key Corporate Participants



Integrated Corporate Planning



Assess the Scope of the Problem



Develop the Activity Relationship Matrix



Quantify Performance with Industry Benchmarks and Performance Evaluations



Develop the Activity Relationship Diagram



Determine the Variability of the Metrics and Financial Contribution of the Individual Functions



Identify Specific Problem Areas to Improve



Key Concepts in Exploring the Environment



Explore the Scope of the Problem and Its Importance



Chapter Topic



Key Corporate Participants



How Does This Fit into the Overall Processes?



Discussion of Business Process Modeling



What Is the Panoramic View?



Unique Application of Techniques and Methods



Key Concepts in Exploring the Scope of the Problem and Its Importance



Data Mining and Statistical Analysis



Chapter Topic



Key Corporate Participants



Assess the Information and Its Availability



Data Summarization



Analysis and Decision Methods



Key Concepts in Data Mining and Statistical Analysis



Solve the Problem and Measure the Results



Chapter Topic



Key Corporate Participants



Select the Best Method That the Data Can Support



Model to Represent the Decision Process



Model Automation



Key Concepts to Solve the Problem and Measure the Results



Evaluate the Results and Do Sensitivity Analysis



Chapter Topic



Key Corporate Participants



Measure the Degree of Success



Economic Analysis



What-If and Sensitivity Analysis



Key Concepts to Evaluate the Results and Do Sensitivity Analysis



Summary of Part I



Summary of Integrated Approach



Case Studies



Logistics Service Provider



Introduction



Define the Objectives



Developing Decision Criteria and Metrics



Explore the Environment



Explore the Scope of the Problem and Its Importance



Data Mining and Statistical Analysis



Solve the Problem and Measure the Results



Evaluate the Results and Do Sensitivity Analysis



Summary



New Product Development



Introduction



Define the Objectives



Developing Decision Criteria and Metrics



Explore the Environment



Explore the Scope of the Problem and Its Importance



Data Mining and Statistical Analysis



Solve the Problem and Measure the Results



Evaluate the Results and Do Sensitivity Analysis



Summary



Airline Merger



Introduction



Define the Objectives



Developing Decision Criteria and Metrics



Explore the Environment



Explore the Scope of the Problem and Its Importance



Data Mining and Statistical Analysis



Solve the Problem and Measure the Results



Evaluate the Results and Do Sensitivity Analysis



Summary



Overview of Methodologies



Decision Methodologies



Multiple Criteria Decision Making



Multiple Objective Decision Making



Artificial Intelligence



Group Decision Making



Statistical Analysis



Forecasting



Expert Opinion



Fuzzy Logic



Simulation



Detailed Methodologies



Nominal Group Technique (NGT)



Normalized Direct Weighting



Analytical Hierarchy Process (Eigenvector Method)



Simple Additive Weighting Method



Borda's Function



TOPSIS



SPAN



Brainstorming



Brainwriting



Moving Averages



Weighted Moving Averages



Exponential Smoothing



Regression Analysis


References


Index