Chapter 1:
Overview of Service Science, Management, and Engineering
1.1 What Is SSME?
1.1.1 Information and Communication Technology
1.1.2 ACP Theory
1.2 Why Do We Need SSME?.
1.3 How Do We Benefit from SSME?
1.3.1 Transportation System
1.3.2 Logistics System
1.3.3 Health Care System
1.3.4 E-Commerce System
1.3.5 Financial System
1.4 Summary
References
Chapter 2: Servitization Strategy: Priorities, Capabilities, and
Organizational Features
2.1 Introduction
2.2 Background
2.2.1 Context of the PC Industry
2.2.2 Definitions of Servitization
2.2.3 Benefits and Challenges of Servitization
2.3 Research Methodology
2.3.1 Case Study
2.3.2 Case Company A
2.3.3 Case Company B
2.4 Servitization Strategy for PC Industry
2.4.1 Strategic Priorities
2.4.2 Capability Requirements
2.4.3 Organizational Features
2.5 Managerial and Practical Implications
2.5.1 Strategy Priority Depends on Core Competence
2.5.2 Leadership and Top Management Support
2.5.3 Industry and Government Development Policy
2.6 Conclusions
Acknowledgments
References
Chapter 3: Supply Chain Finance: Concept and Modeling
3.1 Inefficient Financial Supply Chain
3.2 Introduction to SCF Solutions
3.2.1 Preshipment Finance
3.2.2 Transit Finance
3.2.3 Postshipment Finance
3.3 Mathematical Representations of Supply Chain Finance
3.3.1 A Survey
3.3.2 Approximate Dynamic Programming
3.3.3 A Three-Stage Supply Chain Finance Modeling Framework
3.4 Future Research
References
Chapter 4: Designing and Assessing Participatory Public Services for
Emerging Markets
4.1 COCKPIT: A Participatory Service
Design Methodology in a European Context
4.2 Challenges of Service Provision in Emerging Markets
4.2.1 Case Study: The National Rural Employment Guarantee Scheme
4.2.2 Case Study: The Targeted Public Distribution System
4.2.3 Existence of Corruption and Lack of Transparency
4.3 COCKPIT for Emerging Markets (CEM)
4.4 CEM Prototype and Implementation
4.5 Assessing Corruption in Public Services in Emerging Markets
4.6 Transparency Assessment of Public Services in Emerging Markets
4.7 Concluding Remarks
Acknowledgments
References
Appendix
Chapter 5: Recommendation Algorithms for Implicit Information
5.1 Introduction
5.2 Preliminaries
5.2.1 Notation
5.2.2 Recommendation Framework and Quality Metric
5.3 Neighborhood Models
5.4 Matrix Factorization Models
5.4.1 Matrix Factorization for Explicit Ratings
5.4.2 Weighted Matrix Factorization for Implicit Ratings
5.4.3 Weighted Matrix Factorization with Biases
5.5 A Hybrid Model of Implicit and Feature Information
5.6 Experimental Study
5.6.1 Data Description
5.6.2 Results
5.7 Conclusions
Acknowledgments
References
Chapter 6: Online Strategies for Optimizing Medical Supply in Disaster
Scenarios
6.1 Introduction
6.2 Related Work
6.3 Experimental Setup
6.3.1 Triage Groups and Penalty Functions
6.3.2 Data
6.4 Algorithms for Optimization
6.4.1 Optimization Problem and Criteria
6.4.2 Optimization Algorithms
6.4.3 Relaxations
6.5 Experiments and Results
6.5.1 Training
6.5.2 Test
6.6 Conclusions
6.6.1 Summary
6.6.2 Future Prospects
References
Chapter 7: Evaluating Traffic Signal Control Systems Based on
Artificial Transportation Systems
7.1 Introduction
7.2 Developing an Artificial Transportation System from the Bottom Up
7.3 The Evaluation Method
7.4 Building the Evaluation Platform
7.5 GreenPass System
7.6 Experiments
7.6.1 Scenario 1: Adverse Weather
7.6.2 Scenario 2: After the Building of a Shopping Mall
7.7 Conclusions
References
Chapter 8: An Approach to Optimize Police Patrol Activities Based on
the Spatial Pattern of Crime Hotspots
8.1 Introduction
8.2 Background
8.2.1 Police Patrolling
8.2.2 Crime Hotspots
8.2.3 Estimators of Spatial Autocorrelation
8.2.4 Route Optimization
8.3 Strategy for Near-Optimal Patrol Route Planning
8.3.1 Overview
8.3.2 Street Network-Based Patrol Route Model
8.3.3 Route Optimization Procedure
8.4 A Case Study
8.4.1 Study Site
8.4.2 Data and Analysis
8.4.3 Results
8.5 Conclusions and Prospects
8.5.1 Conclusions
8.5.2 Limitations and Future Directions
References
Chapter 9: Chemical Emergency Management Research Based on ACP Approach
9.1 Introduction
9.2 Problems and Challenges
9.3 A Research Framework: Parallel Emergency Management System
9.3.1 Artificial Emergency Systems
9.3.2 Computational Experiments
9.3.3 Parallel Execution
9.4 Case Study
9.4.1 Case Study 1: Chemical Early-Warning Research
9.4.2 Case Study 2: Chemical Emergency Response Plans Evaluation
9.5 Conclusions
References
Chapter 10: Bus Arrival Prediction and Trip Planning for Better User
Experience and Services
10.1 Introduction
10.2 Literature Review
10.2.1 Bus Arrival Prediction
10.2.2 Bus Trip Planning
10.3 Bus Arrival Prediction
10.3.1 Factor Analysis
10.3.2 Linear Model and Parameter Calibration
10.4 Bus Trip Planning
10.4.1 System Overview
10.4.2 K-Transfer
10.4.3 Multiobjective Shortest Path
10.4.4 Path Patching
10.5 Prototype and Experiments
10.6 Conclusions
References
Chapter 11: Mass Customization Manufacturing and Its Application for
Mobile Phone Production
11.1 Introduction
11.1.1 Definitions and Analysis
11.1.2 Literature Review
11.1.3 Industrial Practices
11.2 Mobile Phone Production Process Description
11.2.1 Mobile Phone Production Processes
11.2.2 Mobile Phone Production Modes
11.3 Mass Customization Manufacturing Solution
11.3.1 Main Manufacturing Phases of Mass Customization
11.3.2 Order Processing of Mass Customization
11.3.3 Quality Control of the Solution
11.3.4 Technical Architecture of the Solution
11.3.5 Practice Results of the Solution
11.4 Conclusions
Acknowledgments
References
Chapter 12: ACP Approach-Based Plant Human–Machine Interaction
Evaluation
12.1 Introduction
12.1.1 Background
12.1.2 Related Research
12.2 Artificial Human–Machine System
12.3 Experimental Environment
12.3.1 Overview of Boiler Plant Simulator
12.3.2 Assumed Malfunctions
12.3.3 Alarm System
12.4 Design of Computational Experiments
12.4.1 Failure–Symptom Bipartite Graph
12.4.2 Abnormal-State-Supervising Procedure
12.4.3 Task Decomposition and Workload Estimation
12.5 Expected Effects
12.5.1 Example of FDI Track
12.5.2 Example of Workload Estimation
12.5.3 HMI Evaluation and Improvement
12.6 Conclusions
References
Chapter 13: Cloud of Health for Connected Patients
13.1 Introduction
13.2 Drivers for Change in Health Care
13.3 Applications
13.3.1 Expert Knowledge—Websites
13.3.2 Self-Help
13.3.3 SMS
13.3.4 Measuring Device Linked by Personal Health Assistant to Expert
Systems
13.3.5 Medical Data on a SIM Card
13.3.6 Exercise and Rehabilitation
13.3.7 Links to Nutrition Information Expert Knowledge Systems
13.3.8 Epilepsy Alert
13.3.9 Body-Worn Sensors
13.4 Conclusions of Cloud of Health
13.5 Case Study of SMS Messaging in Health Promotion
13.6 Characteristics of SMS for Use in Healthcare Promotion
13.6.1 K1 Widespread Ownership of Mobile Phones and SMS Usage
13.6.2 K2 Convenience and Storage
13.6.3 K3 Personal and Private
13.6.4 K4 Social Communication
13.6.5 K5 Speed
13.6.6 K6 Cost
13.6.7 K7 Application Integration
13.6.8 K8 Ease of Administration
13.6.9 K9 Targeting
13.7 Conclusions of SMS for Use in Healthcare Promotion
References
Chapter 14: Construction of Artificial Grid Systems Based on ACP
Approach
14.1 Introduction
14.2 ACP Approach
14.3 Complex Network Characteristics of Power Grids
14.3.1 Complex Network Theory
14.3.2 Complexity of Power Grids
14.3.3 Construction of Complex Power Grid Network Model
14.3.4 Some Results of Research on Power Grids Based on Complex Networks
14.4 Construction of Artificial Grid Systems
14.4.1 Artificial Grid Systems
14.4.2 Design and Construction of Artificial Grid Systems
14.5 A Case Study
14.6 Conclusions
References
Chapter 15: Influence of Electric Vehicles on After-Sales Service
15.1 Introduction
15.2 After-Sales Service in the Automotive Industry
15.2.1 Stakeholders of the Automotive Aftermarket
15.2.2 Typical Services in the Automotive Aftermarket
15.3 Changes Due to the Increasing Share of Electric Mobility
15.4 The Impact on Stakeholders
15.4.1 Decreasing Share of Mechanical and Moving Parts
15.4.2 Fewer Additional Units
15.4.3 Longer Service Intervals
15.4.4 Immature Battery Technology
15.4.5 Limited Self-Service Possibility
15.5 Future Perspectives
References
Chapter 16: Service Modeling Optimization and Service Composition QoS
Analysis
16.1 Introduction
16.2 BPEL4WS-Based Modeling Optimization
16.2.1 Comparison of Modeling of SMEE and Mainstream Methods Based on
BPEL4WS
16.2.2 Definition of SMEE
16.2.3 Research Method for Converting SMEE Model into BPEL4WS
16.2.4 Running Performance Evaluation for Generated BPEL4WS Model
16.3 Web Service Composition Quality Analysis with Stochastic Service
Times
16.3.1 Problem Description
16.3.2 Analysis of the QoS of Each Kind of BPEL2WS Container
16.3.3 Analysis of the QoS of an Actual BPEL2WS Model
16.4 Conclusions
References
Chapter 17: Urban Traffic Management System Based on Ontology and
Multiagent System
17.1 Introduction
17.2 Literature Review
17.2.1 Ontological Technology
17.2.2 Multiagent Technology
17.3 Ontology of Urban Traffic Management System
17.3.1 Road Network
17.3.2 Environment
17.3.3 Traffic Information
17.3.4 Traffic Facility
17.3.5 Vehicle
17.3.6 Algorithm
17.3.7 Time
17.4 Multiagent System Architecture
17.5 Conclusions
References
Index
