目錄
Chapter 1 Project Scope Management
1.1 Scope Definition and Project Scope Statement
1.1.1 Case Study: Media Snapshot
1.1.2 Risk Identification in Project Scope
1.2 Work Breakdown Structure (WBS)
1.3 Approaches to Developing WBS
1.3.1 Mind Mapping
1.3.2 WBS Dictionary and Scope Baseline
1.3.3 Scope Verification
1.3.4 Scope Control
1.4 Scope Management Plan and Control
1.4 .I Influencing Factors of Scope Risks
1.4.2 Risk Evaluation on Project Scope
1.4.3 Risk Control Methods
1.4.4 Introduction to Control Result Assessment
1.5 Summary
Exercises
References
Chapter 2 Time Management and Risks
2.1 Work Breakdown Structure (WBS) in Schedule
2.1.1 WBS and Project Network Diagram
2.1.2 Gantt Charts
2.2 Critical Path and Control
2.2.1 Critical Path Method (CPM)
2.2.2 Time Control Methodology
2.2.3 Systems Development Life Cycle (SDLC)
2.2.4 Time Control with the Waterfall Method
2.2.5 Iterative Development
2.3 Program Evaluation and Review Technique (PERT)
2.4 Probability of Project Completion
2.5 Risks of Delay
2.5.1 PERT/Cost
2.5.2 Project Crashing
2.5.3 Precedence Diagramming Method(PDM)
2.5.4 Critical Chain Project Management (CCPM)
2.6 Risk Management Plan
2.7 Summary
Exercise
Explorative Question
References
Chapter 3 Project Time-Cost Trade-Offs
3.1 Introduction to Cost Management
3.1.1 Case Study of Cost Overgrow
3.1.2 Project Cost Management
3.1.3 Typical Problems with Cost Estimates
3.2 Reasons and Risks of Cost Overruns
3.3 Basic Concepts of Cost Management
3.3.1 Cost of Defects
3.3.2 Tangible and Intangible Costs
3.3.3 Direct and Indirect Costs
3.3.4 Sunk Costs
3.3.5 Cash Flow Analysis and Learning Curve Theory
3.3.6 Reserves
3.3.7 Life Cycle Cost
3.4 Cost Control and Risk Analysis
3.4.1 Types of Cost Estimates
3.4.2 Cost Management Plan
3.5 Time-Cost Trade-Offs
3.5.1 Cost Estimation Tools
3.5.2 Control on Cost Budget
3.6 Summary
Exercises
References
Chapter 4 Resource Allocation and Leveling
4.1 Resource Factors and Relationships
4.2 Organizational Planning
4.2.1 Motivation
4.2.2 Influence and Power
4.2.3 Effectiveness
4.3 Resource Acquisition
4.4 Resource Loading
4.5 Resource Leveling
4.6 Project Portfolio Management
4.7 Summary
Exercises
Discussion Questions
References
Chapter 5 Quality Assurance
5.1 Quality Planning
5.2 Design of Experiments
5.2.1 Standards for Quality Assurance
5.2.2 Benchmarking
5.3 Quality Control
5.3.1 Cause and Effect Diagrams
5.3.2 Quality Control Charts
5.3.3 Scatter Diagrams
5.3.4 Histograms
5.3.5 Pareto Charts
5.3.6 Flowcharts
5.3.7 Statistical Sampling
5.3.8 Six Sigma and DMAIC
5.4 Testing
5.4.1 Quality Experts
5.4.2 ISO Standards
5.4.3 Leadership
5.5 The Cost of Quality
5.5.1 Case Study
5.5.2 Media Snapshot
5.5.3 Organizational Influences, Workplace Factors, and Quality
5.5.4 Maturity Model of Project Management Institute (PMI)
5.6 Summary
Discussion Questions
References
Chapter 6 Project Integration Management
6.1 Preparation for Integration
6.2 Integration Process
6.2.1 Strategic Planning and Project Selection
6.2.2 Aligning Project Management with Business Strategy
6.2.3 Configuration Management
6.2.4 Portfolio Management
6.3 Methods for Selecting Projects
6.3.1 Focusing on Broad Organizational Needs
6.3.2 Categorizing Projects
6.3.3 Financial Analysis of Projects
6.4 Evaluation of Integration Management
6.5 Summary
Case Study and Discussion
References
Chapter 7 Risk Identification
7.1 Uncertainty Identification
7.1.1 Methods for Uncertainty Identification
7.1.2 Identifying Individual Project Risks
7.2 Internal and External Factors
7.2.1 Project Risks Influenced by the Project Manager and Project Team
7.2.2 Project Risks Influenced by Organizational and External Factors
7.3 Analysis of Risk Factors
7.3.1 Levels/Severities of Uncertainties
7.3.2 Product Development Processes
7.3.3 Individual Project Risk Analysis
7.4 Holistic Approach
7.4.1 Systematic Approach
7.4.2 Multiple Criteria Decision Making
7.4.3 Sources of Failure, Risk assessment and Risk management
7.4.4 Total Risk Management
7.5 Road Map
7.6 Summary
Exercises
References
Chapter 8 Risk Modeling and Assessment
8.1 Introduction to Risk Modeling
8.1.1 Data Collection for Risk Modeling
8.1.2 Risk Allocation
8.1.3 Interdependence
8.2 Qualitative Risk Analysis
8.2.1 Risk Breakdown Structure
8.2.2 Fuzzy Approach
8.2.3 Analytic Hierarchy Process (AHP)
8.3 Quantitative Risk Assessment
8.3.1 Network Model
8.3.2 System Dynamics
8.3.3 Big Data Analytics
8.3.4 Data Mining
8.4 Deviation Risk
8.5 Summary
Case Study
References
Chapter 9 Risk Response Planning
9.1 Types of Risk Responses
9.1.1 Avoidance
9.1.2 Transference
9.1.3 Reduction
9.1.4 Acceptance
9.2 Understanding Overall Project Risk
9.3 Creating Risk Response Strategy
9.3.1 Determining and Planning Project Risk Responses
9.3.2 Risk (Threats) and Opportunity Response Options
9.4 Summary
Exercises
References
Chapter 10 Risk Monitoring and Tracking
10.1 Actions of Risk Monitoring
10.2 Tracking Active Risks
10.2.1 Responsibility Assignment
10.2.2 Tracking Procedure and Possible Responses
10.2.3 Reporting Processes
10.2.4 Disaster Planning and Recovery
10.2.5 Capturing Project Risk Knowledge
10.3 Data Interpretation and Knowledge Management
10.4 Evaluation of Risk Process Effectiveness
10.5 Implementation
10.5.1 Mobilization
10.5.2 Current State Analysis
10.5.3 Future-state Operating Model Design
10.5.4 Gap Analysis
10.5.5 Implementation Report
10.6 Recent Trends in Risk Monitoring
10.6.1 Big Data in Risk Monitoring
10.6.2 Automation in Risk Monitoring
10.6.3 Navigation Explore 10 Trends Shaping the Future of Risk
10.7 Summary
Review and Discussion
References
Chapter 11 Risk Monitoring and Control: Prediction
11.1 Predictive Analyties Process
11.1.1 Internal and External Validations
11.1.2 Using Binary Outcomes
11.1.3 Prediction Error and Validation
11.2 Types of Risk Prediction Models
11.2.1 Predictive Models
11.2.2 Descriptive Models
11.2.3 Decision Models
11.3 Analytical Techniques
11.3.1 Regression Techniques
11.3.2 Machine Learning Techniques
11.4 Sample Size Calculation for Developing Risk Prediction Models
11.5 Shrinkage Methods
11.5.1 Penalized Regression
11.5.2 Ridge Regression
11.5.3 LASSO Regression
11.6 How to Detect Model Overfitting
11.7 Summary
Suggested Reading
References
Chapter 12 Risk Monitoring and Control: Decision Making
12.1 Selection Criteria
12.1.1 Informed Decision Making
12.1.2 Option Differentiators
12.1.3 Composition of Options
12.1.4 Risk Assessment Classification and Selection Schemes
12.2 Benehmarking
12.2.1 Definition
12.2.2 Types of Benchmarking
12.2.3 Benchmarking Tools and Steps
12.3 Evaluation of Risk Response Strategies
12.3.1 Deriving the Evaluation Criteria
12.3.2 Developing a Model to Link the Decision Criteria to Alternative Risk Assessment Tools
12.3.3 Assigning Priorities through Pairwise Comparison
12.3.4 Developing the Risk Assessment Tool Selection Model
12.4 Knowledge Mapping
12.5 Risk Management Report
12.6 Case Study Related to Line of Balance
Summary
Suggested Reading
References