The Series in Intelligent Systems publishes titles that cover state of the art knowledge and the latest advances in research and development in intelligent systems. Its scope includes theoretical studies, design methods, and real-world implementations and applications. The Series publishes titles in three core sub-topic areas: Intelligent Automation, Intelligent Transportation Systems, and Intelligent Computing. Titles focus on professional and academic reference works and handbooks. The readership for the series is broad, reflecting the wide range of intelligent systems interest and application, but focuses on engineering (in particular automation, control, mechatronics, robotics, transportation, automotive, aerospace), electronics and electronic design, and computer science. This book presents the latest issues and development in service science. (Service Science is the interdisciplinary approach to the study, design, and implementation of services systems - complex systems in which specific arrangements of people and technologies take actions that provide value for others. More precisely, service science has been defined as the application of science, management, and engineering disciplines to tasks that one organization beneficially performs for and with another). Both theory and applications issues are covered in the book, which integrates a variety of disciplines - including areas in management, engineering, and information systems. These substantive topics are all related to service science from various perspectives. Extensive applications and cast studies of latest developments showcase current best practice and provide insights and guidelines to assist in building of successful service systems. Presents the latest service science research from both theoretical and applications perspectives Includes coverage of applications in a wide variety high growth sectors, along with real-world frameworks and design techniques Extensive applications and cast studies of latest developments showcase current best practice and provide insights and guidelines to assist in building of successful service systems.

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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