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The Intelligent Systems Series comprises titles that present state of the art knowledge and the latest advances in intelligent systems. Its scope includes theoretical studies, de… Read more
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Immediately download your ebook while waiting for your print delivery. No promo code needed.
The Intelligent Systems Series comprises titles that present state of the art knowledge and the latest advances in intelligent systems. Its scope includes theoretical studies, design methods, and real-world implementations and applications.
Service Science, Management, and Engineering
presents the latest issues and development in service science. Both theory and applications issues are covered in this book, which integrates a variety of disciplines, including engineering, management, and information systems. These topics are each related to service science from various perspectives, and the book is supported throughout by applications and case studies that showcase best practice and provide insight and guidelines to assist in building successful service systems.Computer Engineers; Intelligent Systems specialists. Security professionals
Intelligent Systems Series
Preface
Chapter 1. Overview of Service Science, Management, and Engineering
1.1 What Is SSME?
1.2 Why Do We Need SSME?
1.3 How Do We Benefit from SSME?
1.4 Summary
References
Chapter 2. Servitization Strategy
2.1 Introduction
2.2 Background
2.3 Research Methodology
2.4 Servitization Strategy for PC Industry
2.5 Managerial and Practical Implications
2.6 Conclusions
Acknowledgments
References
Chapter 3. Supply Chain Finance
3.1 Inefficient Financial Supply Chain
3.2 Introduction to SCF Solutions
3.3 Mathematical Representations of Supply Chain Finance
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
4.3 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
References
Appendix
Chapter 5. Recommendation Algorithms for Implicit Information
5.1 Introduction
5.2 Preliminaries
5.3 Neighborhood Models
5.4 Matrix Factorization Models
5.5 A Hybrid Model of Implicit and Feature Information
5.6 Experimental Study
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
6.4 Algorithms for Optimization
6.5 Experiments and Results
6.6 Conclusions
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
7.7 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
8.3 Strategy for Near-Optimal Patrol Route Planning
8.4 A Case Study
8.5 Conclusions and Prospects
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
9.4 Case Study
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
10.3 Bus Arrival Prediction
10.4 Bus Trip Planning
10.5 Prototype and Experiments
10.6 Conclusions
References
Chapter 11. Mass Customization Manufacturing and Its Application for Mobile Phone Production
11.1 Introduction
11.2 Mobile Phone Production Process Description
11.3 Mass Customization Manufacturing Solution
11.4 Conclusions
Acknowledgments
References
Chapter 12. ACP Approach-Based Plant Human–Machine Interaction Evaluation
12.1 Introduction
12.2 Artificial Human–Machine System
12.3 Experimental Environment
12.4 Design of Computational Experiments
12.5 Expected Effects
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
13.4 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
13.7 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
14.4 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
15.3 Changes Due to the Increasing Share of Electric Mobility
15.4 The Impact on Stakeholders
15.5 Future Perspectives
References
Chapter 16. Service Modeling Optimization and Service Composition QoS Analysis
16.1 Introduction
16.2 BPEL4WS-Based Modeling Optimization
16.3 Web Service Composition Quality Analysis with Stochastic Service Times
16.4 Conclusions
References
Chapter 17. Urban Traffic Management System Based on Ontology and Multiagent System
17.1 Introduction
17.2 Literature Review
17.3 Ontology of Urban Traffic Management System
17.4 Multiagent System Architecture
17.5 Conclusions
References
Index
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