Project management analytics: a data-driven approach to making rational and effective project decisions
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Old Tappan, New Jersey
Pearson Education
Novemberg 2015
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | ix, 340 Seiten Illustrationen |
| ISBN: | 0134189949 9780134189949 |
Internformat
MARC
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Datensatz im Suchindex
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|---|---|
| adam_text | Table of Contents
Part 1 Approach
Chapter 1 Project Management Analytics..............................1
What Is Analytics?....................................2
Why Is Analytics Important in Project Management?.....4
How Can Project Managers Use Analytics in Project
Management?.........................................4
Project Management Analytics Approach.................8
Summary..............................................20
Key Terms............................................21
Case Study: City of Medville Uses Statistical Approach to
Estimate Costs for Its Pilot Project...............21
Case Study Questions.................................23
Chapter Review and Discussion Questions..............23
Bibliography.........................................24
Chapter 2 Data-Driven Decision-Making..............................25
Characteristics of a Good Decision...................26
Decision-Making Factors..............................27
Importance of Decisive Project Managers........... .28
Automation and Management of the Decision-Making
Process............................................30
Data-Driven Decision-Making..........................31
Data-Driven Decision-Making Process Challenges.......33
Garbage In, Garbage Out..............................34
Summary..............................................34
Key Terms............................................35
Case Study: Kheri Construction, LLC..................36
Case Study Questions.................................43
Chapter Review and Discussion Questions..............43
Bibliography.........................................44
Part 2 Project Management Fundamentals
Chapter 3 Project Management Framework............................45
What Is a Project?..................................46
How Is a Project Different from Operations?.........52
Project versus Program versus Portfolio.............53
Project Management Office (PMO).....................55
Project Life Cycle (PLC)............................55
Project Management Life Cycle (PMLC)................60
A Process within the PMLC...........................65
Work Breakdown Structure (WBS)......................66
Systems Development Life Cycle (SDLC)...............67
Summary.............................................70
Key Terms...........................................72
Case Study: Life Cycle of a Construction Project....72
Case Study Questions................................74
Chapter Review and Discussion Questions.............75
Bibliography........................................75
Part 3 Introduction to Analytics Concepts, Tools,
and Techniques
Chapter 4 Chapter Statistical Fundamentals I:
Basics and Probability Distributions................77
Statistics Basics...................................78
Probability Distribution............................87
Mean, Variance, and Standard Deviation of a Binomial
Distribution......................................93
Poisson Distribution................................95
Normal Distribution.................................96
Confidence Intervals................................99
Summary............................................101
Key Terms......................................... 103
Solutions to Example Problems..................... 103
Chapter Review and Discussion Questions............113
Bibliography.................................... 115
VI
Table of Contents
Chapter 5 Statistical Fundamentals II: Hypothesis,
Correlation, and Linear Regression....................117
What Is a Hypothesis?.................................118
Statistical Hypothesis Testing........................119
Rejection Region......................................125
The z-Test versus the f-Test..........................127
Correlation in Statistics.............................131
Linear Regression.....................................134
Predicting y- Values Using the Multiple Regression
Equation...........................................140
Summary...............................................142
Key Terms.............................................143
Solutions to Example Problems.........................143
Chapter Review and Discussion Questions...............148
Bibliography..........................................149
Chapter 6 Analytic Hierarchy Process...............................151
Using the AHP.........................................152
AHP Pros and Cons.....................................162
Summary...............................................163
Key Terms.............................................164
Case Study: Topa Technologies Uses the AHP to Select
the Project Manager................................164
Conclusion............................................179
Case Questions........................................180
Chapter Review and Discussion Questions...............180
Bibliography..........................................180
Chapter 7 Lean Six Sigma...........................................183
What Is Lean Six Sigma?...............................184
How LSS Can Improve the Status Quo....................189
Lean Six Sigma Tools................................ 194
Summary...............................................214
Key Terms.............................................214
Case Study: Ropar Business Computers (RBC) Implements
a Lean Six Sigma Project to Improve Its Server
Test Process.......................................215
Select PDSA Cycles Explained..........................219
Table of Contents
Vll
Case Questions......................................225
Chapter Review and Discussion Questions.............225
Bibliography........................................226
Part 4 Applications of Analytics Concepts, Tools, and
Techniques in Project Management
Decision-Making
Chapter 8 Statistical Applications in Project
Management..........................................229
Statistical Tools and Techniques for Project Management... 230
Probability Theory................................. 231
Probability Distributions...........................231
Central Limit Theorem...............................232
Critical Path Method (CPM)..........................232
Critical Chain Method (CCM).........................235
Program Evaluation and Review Technique (PERT)......237
Graphical Evaluation and Review Technique (GERT)....239
Correlation and Covariance..........................241
Predictive Analysis: Linear Regression..............245
Confidence Intervals: Prediction Using Earned Value
Management (EVM) Coupled with Confidence Intervals. 251
Earned Value Management (EVM).......................254
Summary.............................................258
Key Terms...........................................260
Chapter Review and Discussion Questions.............260
Bibliography........................................262
Chapter 9 Project Decision-Making with the Analytic
Hierarchy Process (AHP) ............................265
Project Evaluation and Selection....................267
More Applications of the AHP in Project Management..283
Summary.............................................287
Key Terms...........................................288
Chapter Review and Discussion Questions.............288
Bibliography........................................288
VUl
Table of Contents
Chapter 10 Lean Six Sigma Applications
in Project Management............................291
Common Project Management Challenges and LSS
Remedies......................................292
Project Management with Lean Six Sigma (PMLSS)—
A Synergistic Blend...........................293
PMLC versus LSS DMAIC Stages.....................294
How LSS Tools and Techniques Can Help in the PMLC
or the PMBOK4 Process Framework...............298
The Power of LSS Control Charts..................306
Agile Project Management and Lean Six Sigma......307
Role of Lean Techniques in Agile Project Management.308
Role of Six Sigma Tools and Techniques in the Agile
Project Management............................310
Lean PMO: Using LSS s DMEDI Methodology to
Improve the PMO...............................310
Summary..........................................312
Key Terms........................................313
Case Study: Implementing the Lean PMO............313
Case Questions...................................318
Chapter Review and Discussion Questions..........318
Bibliography.....................................319
Part 5 Appendices
Appendix A z-Distribution....................................321
Appendix B i-Distribution....................................325
Appendix C Binomial Probability Distribution
(From n = 2 to n = 10)..............................327
Index............................................329
Table of Contents
IX
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| isbn | 0134189949 9780134189949 |
| language | English |
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| spelling | Harjit Singh Verfasser (DE-588)1082321532 aut Project management analytics a data-driven approach to making rational and effective project decisions Harjit Singh, MBA, PMP, CSM, (Data Processing Manager III, State of California) Old Tappan, New Jersey Pearson Education Novemberg 2015 ix, 340 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Entscheidung bei Unsicherheit (DE-588)4070864-0 gnd rswk-swf Projektmanagement (DE-588)4047441-0 gnd rswk-swf Projektanalyse (DE-588)4175873-0 gnd rswk-swf Projektmanagement (DE-588)4047441-0 s Projektanalyse (DE-588)4175873-0 s Entscheidung bei Unsicherheit (DE-588)4070864-0 s b DE-604 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028800576&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Harjit Singh Project management analytics a data-driven approach to making rational and effective project decisions Entscheidung bei Unsicherheit (DE-588)4070864-0 gnd Projektmanagement (DE-588)4047441-0 gnd Projektanalyse (DE-588)4175873-0 gnd |
| subject_GND | (DE-588)4070864-0 (DE-588)4047441-0 (DE-588)4175873-0 |
| title | Project management analytics a data-driven approach to making rational and effective project decisions |
| title_auth | Project management analytics a data-driven approach to making rational and effective project decisions |
| title_exact_search | Project management analytics a data-driven approach to making rational and effective project decisions |
| title_full | Project management analytics a data-driven approach to making rational and effective project decisions Harjit Singh, MBA, PMP, CSM, (Data Processing Manager III, State of California) |
| title_fullStr | Project management analytics a data-driven approach to making rational and effective project decisions Harjit Singh, MBA, PMP, CSM, (Data Processing Manager III, State of California) |
| title_full_unstemmed | Project management analytics a data-driven approach to making rational and effective project decisions Harjit Singh, MBA, PMP, CSM, (Data Processing Manager III, State of California) |
| title_short | Project management analytics |
| title_sort | project management analytics a data driven approach to making rational and effective project decisions |
| title_sub | a data-driven approach to making rational and effective project decisions |
| topic | Entscheidung bei Unsicherheit (DE-588)4070864-0 gnd Projektmanagement (DE-588)4047441-0 gnd Projektanalyse (DE-588)4175873-0 gnd |
| topic_facet | Entscheidung bei Unsicherheit Projektmanagement Projektanalyse |
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