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Professional's Guide to Decision Science and Problem Solving, A: An Integrated Approach for Assessing Issues, Finding Solutions, and Reaching Corporate Objectives (paperback) [Pehme köide]

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  • Formaat: Paperback / softback, 280 pages, kõrgus x laius x paksus: 100x100x100 mm, kaal: 100 g
  • Ilmumisaeg: 12-Jan-2015
  • Kirjastus: Pearson FT Press
  • ISBN-10: 0134116038
  • ISBN-13: 9780134116037
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Professional's Guide to Decision Science and Problem Solving, A: An Integrated Approach for Assessing Issues, Finding Solutions, and Reaching Corporate Objectives (paperback)Suurem pilt
  • Formaat: Paperback / softback, 280 pages, kõrgus x laius x paksus: 100x100x100 mm, kaal: 100 g
  • Ilmumisaeg: 12-Jan-2015
  • Kirjastus: Pearson FT Press
  • ISBN-10: 0134116038
  • ISBN-13: 9780134116037
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780134116037.html
Märksõnad:

A Professional's Guide to Decision Science and Problem Solvingprovides 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 the successful achievement of corporate objectives. Coverage includes: defining objectives, exploring the environment; scoping problems and evaluating their importance; bringing data mining and statistical analysis to bear; solving problems and measuring the results; evaluating the results and performing sensitivity analysis, and more. The book concludes with three case study chapters that walk through the effective use of its methods, step-by-step. Representing a wide variety of corporate environments, these case studies underscore and demonstrate the method's exceptional adaptability. This book will be valuable in a wide range of industries, notably finance, pharmaceutical, healthcare, economics, and manufacturing.

Acknowledgments xii
About the Authors xiii
Preface xiv
Part I The Method
1(94)
Chapter 1 Define the Objectives and Identify Metrics
3(28)
1.1
Chapter Topic
3(1)
1.2 Key Corporate Participants
3(1)
1.3 Management Steps Required to Execute the Approach
4(3)
1.4 Solving the Right Problem
7(2)
1.5 Developing an Understanding of the Problem
9(1)
1.6 Defining Goals and Objectives of a Company or Organization
9(6)
1.7 Defining the Framework for the Decisions Being Made
15(2)
1.8 Metrics for Measuring Success
17(1)
1.9 Definition of a Metric
18(2)
1.10 Developing Decision Criteria and Metrics
20(6)
1.11 Data Used to Support Metrics
26(2)
1.12 Structure and Definition of the Problem
28(1)
1.13 Key Concepts in Defining the Objectives
28(3)
Chapter 2 Explore the Environment
31(16)
2.1
Chapter Topic
31(1)
2.2 Key Corporate Participants
31(1)
2.3 Integrated Corporate Planning
32(2)
2.4 Assess the Scope of the Problem
34(1)
2.5 Develop the Activity Relationship Matrix
35(2)
2.6 Quantify Performance with Industry Benchmarks and Performance Evaluations
37(3)
2.7 Develop the Activity Relationship Diagram
40(3)
2.8 Determine the Variability of the Metrics and Financial Contribution of the Individual Functions
43(1)
2.9 Identify Specific Problem Areas to Improve
44(2)
2.10 Key Concepts in Exploring the Environment
46(1)
Chapter 3 Explore the Scope of the Problem and Its Importance
47(12)
3.1
Chapter Topic
47(1)
3.2 Key Corporate Participants
47(1)
3.3 How Does This Fit into the Overall Processes?
48(1)
3.4 Discussion of Business Process Modeling
48(2)
3.5 What Is the Panoramic View?
50(6)
3.6 Unique Application of Techniques and Methods
56(1)
3.7 Key Concepts in Exploring the Scope of the Problem and Its Importance
57(2)
Chapter 4 Data Mining and Statistical Analysis
59(12)
4.1
Chapter Topic
59(1)
4.2 Key Corporate Participants
59(1)
4.3 Assess the Information and Its Availability
59(3)
4.4 Data Summarization
62(6)
4.5 Analysis and Decision Methods
68(1)
4.6 Key Concepts in Data Mining and Statistical Analysis
69(2)
Chapter 5 Solve the Problem and Measure the Results
71(10)
5.1
Chapter Topic
71(1)
5.2 Key Corporate Participants
71(1)
5.3 Select the Best Method That the Data Can Support
72(1)
5.4 Model to Represent the Decision Process
73(4)
5.5 Model Automation
77(2)
5.6 Key Concepts to Solve the Problem and Measure the Results
79(2)
Chapter 6 Evaluate the Results and Do Sensitivity Analysis
81(10)
6.1
Chapter Topic
81(1)
6.2 Key Corporate Participants
81(1)
6.3 Measure the Degree of Success
81(2)
6.4 Economic Analysis
83(3)
6.5 What-If and Sensitivity Analysis
86(4)
6.6 Key Concepts to Evaluate the Results and Do Sensitivity Analysis
90(1)
Chapter 7 Summary of Part I
91(4)
7.1 Summary of Integrated Approach
91(4)
Part II Case Studies
95(110)
Chapter 8 Logistics Service Provider
97(34)
8.1 Introduction
97(1)
8.2 Define the Objectives
98(1)
8.3 Developing Decision Criteria and Metrics
99(4)
8.4 Explore the Environment
103(6)
8.5 Explore the Scope of the Problem and Its Importance
109(5)
8.6 Data Mining and Statistical Analysis
114(1)
8.7 Solve the Problem and Measure the Results
115(7)
8.8 Evaluate the Results and Do Sensitivity Analysis
122(7)
8.9 Summary
129(2)
Chapter 9 New Product Development
131(28)
9.1 Introduction
131(1)
9.2 Define the Objectives
131(1)
9.3 Developing Decision Criteria and Metrics
132(8)
9.4 Explore the Environment
140(4)
9.5 Explore the Scope of the Problem and Its Importance
144(3)
9.6 Data Mining and Statistical Analysis
147(1)
9.7 Solve the Problem and Measure the Results
148(5)
9.8 Evaluate the Results and Do Sensitivity Analysis
153(4)
9.9 Summary
157(2)
Chapter 10 Airline Merger
159(46)
10.1 Introduction
159(3)
10.2 Define the Objectives
162(1)
10.3 Developing Decision Criteria and Metrics
163(5)
10.4 Explore the Environment
168(14)
10.5 Explore the Scope of the Problem and Its Importance
182(5)
10.6 Data Mining and Statistical Analysis
187(5)
10.7 Solve the Problem and Measure the Results
192(3)
10.8 Evaluate the Results and Do Sensitivity Analysis
195(7)
10.9 Summary
202(3)
Appendix A Overview of Methodologies
205(16)
A.1 Decision Methodologies
205(1)
A.2 Multiple Criteria Decision Making
206(2)
A.3 Multiple Objective Decision Making
208(2)
A.4 Artificial Intelligence
210(3)
A.5 Group Decision Making
213(1)
A.6 Statistical Analysis
214(2)
A.7 Forecasting
216(2)
A.8 Expert Opinion
218(1)
A.9 Fuzzy Logic
219(1)
A.10 Simulation
220(1)
Appendix B Detailed Methodologies
221(18)
B.1 Nominal Group Technique (NGT)
221(1)
B.2 Normalized Direct Weighting
222(1)
B.3 Analytical Hierarchy Process (Eigenvector Method)
223(1)
B.4 Simple Additive Weighting Method
224(1)
B.5 Borda's Function
225(1)
B.6 TOPSIS
226(4)
B.7 SPAN
230(2)
B.8 Brainstorming
232(1)
B.9 Brainwriting
232(1)
B.10 Moving Averages
233(1)
B.11 Weighted Moving Averages
234(1)
B.12 Exponential Smoothing
235(2)
B.13 Regression Analysis
237(2)
References 239(2)
Index 241
Frank  A. Tillman  has had  a varied and  full career  teaching and doing research in academia for more than 30 years, starting and managing two consulting firms, IBES,  Inc.  (government  agencies) and HTX International,  Inc. (private firms), and developing com- mercial and residential real estate. He served as department head at Kansas State University for more than 20 years where he published 50+ professional articles, published two books, and advised a number of M.S. and Ph.D. theses candidates. This book is a compilation of his consulting experiences noting which approach works best to solve real problems that result in solutions that can be implemented.

Deandra T. Cassone  currently teaches as an adjunct professor at Missouri University of Science and Technology in its graduate sys- tems engineering  program and is in management  at a Fortune  100 company. She has spent more than 25 year in the industry, serving in consulting,  technical,  and  management  roles.  Her  interests  lie in building structured decision-making models that encompass the application of the concepts in this book. She has also submitted  and been awarded a number of business process patents.