
Service Science, Management, and Engineering:: Theory and Applications
by Xiong, Ghang; Liu, Zhong; Liu, Xi-Wei; Zhu, Fenghua; Shen, Dong-
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Summary
Author Biography
Table of Contents
Preface | p. xiii |
Overview of Service Science, Management, and Engineering | p. 7 |
What Is SSME? | p. 1 |
Information and Communication Technology | p. 2 |
ACP Theory | p. 3 |
Why Do We Need SSME? | p. 4 |
How Do We Benefit from SSME? | p. 5 |
Transportation System | p. 6 |
Logistics System | p. 6 |
Health Care System | p. 6 |
E-Commerce System | p. 7 |
Financial System | p. 7 |
Summary | p. 8 |
References | p. 8 |
Servitization Strategy: Priorities, Capabilities, and Organizational Features | p. 11 |
Introduction | p. 11 |
Background | p. 12 |
Context of the PC Industry | p. 12 |
Definitions of Servitization | p. 14 |
Benefits and Challenges of Servitization | p. 16 |
Research Methodology | p. 18 |
Case Study | p. 18 |
Case Company A | p. 19 |
Case Company B | p. 19 |
Servitization Strategy for PC Industry | p. 20 |
Strategic Priorities | p. 21 |
Capability Requirements | p. 23 |
Organizational Features | p. 26 |
Managerial and Practical Implications | p. 29 |
Strategy Priority Depends on Core Competence | p. 29 |
Leadership and Top Management Support | p. 29 |
Industry and Government Development Policy | p. 30 |
Conclusions | p. 30 |
Acknowledgments | p. 31 |
References | p. 31 |
Supply Chain Finance: Concept and Modeling | p. 37 |
Inefficient Financial Supply Chain | p. 37 |
Introduction to SCF Solutions | p. 38 |
Preshipment Finance | p. 39 |
Transit Finance | p. 39 |
Postshipment Finance | p. 40 |
Mathematical Representations of Supply Chain Finance | p. 41 |
A Survey | p. 42 |
Approximate Dynamic Programming | p. 44 |
A Three-Stage Supply Chain Finance Modeling Framework | p. 49 |
Future Research | p. 56 |
References | p. 57 |
Designing and Assessing Participatory Public Services for Emerging Markets | p. 59 |
COCKPIT: A Participatory Service Design Methodology in a European Context | p. 60 |
Challenges of Service Provision in Emerging Markets | p. 62 |
Case Study: The National Rural Employment Guarantee Scheme | p. 63 |
Case Study: The Targeted Public Distribution System | p. 64 |
Existence of Corruption and Lack of Transparency | p. 64 |
COCKPIT for Emerging Markets (CEM) | p. 65 |
CEM Prototype and Implementation | p. 67 |
Assessing Corruption in Public Services in Emerging Markets | p. 68 |
Transparency Assessment of Public Services in Emerging Markets | p. 71 |
Concluding Remarks | p. 72 |
Acknowledgments | p. 73 |
References | p. 73 |
Appendix | p. 74 |
Recommendation Algorithms for Implicit Information | p. 77 |
Introduction | p. 77 |
Preliminaries | p. 80 |
Notation | p. 80 |
Recommendation Framework and Quality Metric | p. 80 |
Neighborhood Models | p. 81 |
Matrix Factorization Models | p. 83 |
Matrix Factorization for Explicit Ratings | p. 83 |
Weighted Matrix Factorization for Implicit Ratings | p. 83 |
Weighted Matrix Factorization with Biases | p. 85 |
A Hybrid Model of Implicit and Feature Information | p. 87 |
Experimental Study | p. 88 |
Data Description | p. 88 |
Results | p. 89 |
Conclusions | p. 92 |
Acknowledgments | p. 93 |
References | p. 93 |
Online Strategies for Optimizing Medical Supply in Disaster Scenarios | p. 95 |
Introduction | p. 95 |
Related Work | p. 96 |
Experimental Setup | p. 98 |
Triage Groups and Penalty Functions | p. 98 |
Data | p. 100 |
Algorithms for Optimization | p. 102 |
Optimization Problem and Catena | p. 102 |
Optimization Algorithms | p. 105 |
Relaxations | p. 111 |
Experiments and Results | p. 111 |
Training | p. 112 |
Test | p. 112 |
Conclusions | p. 115 |
Summary | p. 115 |
Future Prospects | p. 115 |
References | p. 116 |
Evaluating Traffic Signal Control System Based on Artificial Transportation Systems | p. 117 |
Introduction | p. 117 |
Developing an Artificial Transportation System from the Bottom Up | p. 118 |
The Evaluation Method | p. 123 |
Building the Evaluation Platform | p. 126 |
GreenPass System | p. 128 |
Experiments | p. 133 |
Scenario 1: Adverse Weather | p. 133 |
Scenario 2: After the Building of a Shopping Mall | p. 135 |
Conclusions | p. 139 |
References | p. 139 |
An Approach to Optimize Police Patrol Activities Based on the Spatial Pattern of Crime Hotspots | p. 141 |
Introduction | p. 141 |
Background | p. 143 |
Police Patrolling | p. 143 |
Crime Hotspots | p. 145 |
Estimators of Spatial Autocorrelation | p. 147 |
Route Optimization | p. 149 |
Strategy for Near-Optimal Patrol Route Planning | p. 151 |
Overview | p. 151 |
Street Network-Based Patrol Route Model | p. 152 |
Route Optimization Procedure | p. 153 |
A Case Study | p. 155 |
Study Site | p. 155 |
Data and Analysis | p. 156 |
Results | p. 156 |
Conclusions and Prospects | p. 160 |
Conclusions | p. 160 |
Limitations and Future Directions | p. 161 |
References | p. 161 |
Chemical Emergency Management Research Based on ACP Approach | p. 165 |
Introduction | p. 165 |
Problems and Challenges | p. 167 |
A Research Framework: Parallel Emergency Management System | p. 168 |
Artificial Emergency Systems | p. 170 |
Computational Experiments | p. 172 |
Parallel Execution | p. 174 |
Case Study | p. 175 |
Case Study 1: Chemical Early-Warning Research | p. 175 |
Case Study 2: Chemical Emergency Response Plans Evaluation | p. 180 |
Conclusions | p. 186 |
References | p. 186 |
Bus Arrival Prediction and Trip Planning for Better User Experience and Services | p. 189 |
Introduction | p. 189 |
Literature Review | p. 192 |
Bus Arrival Prediction | p. 192 |
Bus Trip Planning | p. 193 |
Bus Arrival Prediction | p. 195 |
Factor Analysis | p. 195 |
Linear Model and Parameter Calibration | p. 198 |
Bus Trip Planning | p. 202 |
System Overview | p. 202 |
K-Transfer | p. 203 |
Multiobjective Shortest Path | p. 208 |
Path Patching | p. 209 |
Prototype and Experiments | p. 211 |
Conclusions | p. 219 |
References | p. 220 |
Mass Customization Manufacturing and Its Application for Mobile Phone Production | p. 223 |
Introduction | p. 223 |
Definitions and Analysis | p. 224 |
Literature Review | p. 225 |
Industrial Practices | p. 226 |
Mobile Phone Production Process Description | p. 228 |
Mobile Phone Production Processes | p. 228 |
Mobile Phone Production Modes | p. 231 |
Mass Customization Manufacturing Solution | p. 233 |
Main Manufacturing Phases of Mass Customization | p. 233 |
Order Processing of Mass Customization | p. 234 |
Quality Control of the Solution | p. 238 |
Technical Architecture of the Solution | p. 239 |
Practice Results of the Solution | p. 241 |
Conclusions | p. 244 |
Acknowledgments | p. 244 |
References | p. 244 |
ACP Approach-Based Plant Human-Machine Interaction Evaluation | p. 247 |
Introduction | p. 247 |
Background | p. 247 |
Related Research | p. 248 |
Artificial Human-Machine System | p. 250 |
Experimental Environment | p. 251 |
Overview of Boiler Plant Simulator | p. 252 |
Assumed Malfunctions | p. 255 |
Alarm System | p. 255 |
Design of Computational Experiments | p. 258 |
Failure-Symptom Bipartite Graph | p. 258 |
Abnormal-State-Supervising Procedure | p. 260 |
Task Decomposition and Workload Estimation | p. 261 |
Expected Effects | p. 262 |
Example of FDI Track | p. 262 |
Example of Workload Estimation | p. 263 |
HMI Evaluation and Improvement | p. 263 |
Conclusions | p. 264 |
References | p. 264 |
Cloud of Health for Connected Patients | p. 265 |
Introduction | p. 265 |
Drivers for Change in Health Care | p. 266 |
Applications | p. 267 |
Expert Knowledge-Websites | p. 267 |
Self-Help | p. 269 |
SMS | p. 269 |
Measuring Device Linked by Personal Health Assistant to Expert Systems | p. 271 |
Medical Data on a SIM Card | p. 273 |
Exercise and Rehabilitation | p. 274 |
Links to Nutrition Information Expert Knowledge Systems | p. 274 |
Epilepsy Alert | p. 275 |
Body-Worn Sensors | p. 275 |
Conclusions of Cloud of Health | p. 276 |
Case Study of SMS Messaging in Health Promotion | p. 276 |
Characteristics of SMS for Use in Healthcare Promotion | p. 278 |
K1 Widespread Ownership of Mobile Phones and SMS Usage | p. 278 |
K2 Convenience and Storage | p. 279 |
K3 Personal and Private | p. 280 |
K4 Social Communication | p. 280 |
K5 Speed | p. 281 |
K6 Cost | p. 281 |
K7 Application Integration | p. 282 |
K8 Ease of Administration | p. 282 |
K9 Targeting | p. 282 |
Conclusions of SMS for Use in Healthcare Promotion | p. 283 |
References | p. 284 |
Construction of Artificial Grid Systems Based on ACP Approach | p. 285 |
Introduction | p. 285 |
ACP Approach | p. 288 |
Complex Network Characteristics of Power Grids | p. 291 |
Complex Network Theory | p. 291 |
Complexity of Power Grids | p. 293 |
Construction of Complex Power Grid Network Model | p. 293 |
Some Results of Research on Power Grids Based on Complex Networks | p. 294 |
Construction of Artificial Grid Systems | p. 294 |
Artificial Grid Systems | p. 295 |
Design and Construction of Artificial Grid Systems | p. 296 |
A Case Study | p. 300 |
Conclusions | p. 302 |
References | p. 303 |
Influence of Electric Vehicles on After-Sales Service | p. 305 |
Introduction | p. 305 |
After-Sales Service in the Automotive Industry | p. 307 |
Stakeholders of the Automotive Aftermarket | p. 309 |
Typical Services in the Automotive Aftermarket | p. 314 |
Changes Due to the Increasing Share of Electric Mobility | p. 316 |
The Impact on Stakeholders | p. 318 |
Decreasing Share of Mechanical and Moving Parts | p. 318 |
Fewer Additional Units | p. 319 |
Longer Service Intervals | p. 320 |
Immature Battery Technology | p. 320 |
Limited Self-Service Possibility | p. 321 |
Future Perspectives | p. 321 |
References | p. 322 |
Service Modeling Optimization and Service Composition QoS Analysis | p. 325 |
Introduction | p. 325 |
BPEL4WS-Based Modeling Optimization | p. 327 |
Comparison of Modeling of SMEE and Mainstream Methods Based on BPEL4WS | p. 327 |
Definition of SMEE | p. 329 |
Research Method for Converting SMEE Model into BPEL4WS | p. 329 |
Running Performance Evaluation for Generated BPEL4WS Model | p. 330 |
Web Service Composition Quality Analysis with Stochastic Service Times | p. 330 |
Problem Description | p. 331 |
Analysis of the QoS of Each Kind of BPEL2WS Container | p. 333 |
Analysis of the QoS of an Actual BPEL2WS Model | p. 338 |
Conclusions | p. 341 |
References | p. 341 |
Urban Traffic Management System Based on Ontology and Multiagent System | p. 345 |
Introduction | p. 345 |
LiteratureReview | p. 348 |
Ontological Technology | p. 348 |
Multiagent Technology | p. 350 |
Ontology of Urban Traffic Management System | p. 351 |
Road Network | p. 351 |
Environment | p. 356 |
Traffic Information | p. 359 |
Traffic Facility | p. 362 |
Vehicle | p. 364 |
Algorithm | p. 365 |
Time | p. 368 |
Multiagent System Architecture | p. 368 |
Conclusions | p. 370 |
Reference | p. 370 |
Index | p. 373 |
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