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Service Science, Management, and Engineering:

Book Description

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.



    • Presents the latest research on service science, management and engineering, from both theory and applications perspectives
      • Includes coverage of applications in high-growth sectors, along with real-world frameworks and design techniques
        • Applications and case studies showcase best practices and provide insights and guidelines to those building and managing service systems
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    Table of Contents

    1. Cover Image
    2. Table of Contents
    3. Title
    4. Intelligent Systems Series
    5. Copyright
    6. Preface
    7. Chapter 1. Overview of Service Science, Management, and Engineering
      1. 1.1 What Is SSME?
      2. 1.2 Why Do We Need SSME?
      3. 1.3 How Do We Benefit from SSME?
      4. 1.4 Summary
      5. References
    8. Chapter 2. Servitization Strategy
      1. 2.1 Introduction
      2. 2.2 Background
      3. 2.3 Research Methodology
      4. 2.4 Servitization Strategy for PC Industry
      5. 2.5 Managerial and Practical Implications
      6. 2.6 Conclusions
      7. Acknowledgments
      8. References
    9. Chapter 3. Supply Chain Finance
      1. 3.1 Inefficient Financial Supply Chain
      2. 3.2 Introduction to SCF Solutions
      3. 3.3 Mathematical Representations of Supply Chain Finance
      4. 3.4 Future Research
      5. References
    10. Chapter 4. Designing and Assessing Participatory Public Services for Emerging Markets
      1. 4.1 COCKPIT: A Participatory Service Design Methodology in a European Context
      2. 4.2 Challenges of Service Provision in Emerging Markets
      3. 4.3 COCKPIT for Emerging Markets (CEM)
      4. 4.4 CEM Prototype and Implementation
      5. 4.5 Assessing Corruption in Public Services in Emerging Markets
      6. 4.6 Transparency Assessment of Public Services in Emerging Markets
      7. 4.7 Concluding Remarks
      8. References
      9. Appendix
    11. Chapter 5. Recommendation Algorithms for Implicit Information
      1. 5.1 Introduction
      2. 5.2 Preliminaries
      3. 5.3 Neighborhood Models
      4. 5.4 Matrix Factorization Models
      5. 5.5 A Hybrid Model of Implicit and Feature Information
      6. 5.6 Experimental Study
      7. 5.7 Conclusions
      8. Acknowledgments
      9. References
    12. Chapter 6. Online Strategies for Optimizing Medical Supply in Disaster Scenarios
      1. 6.1 Introduction
      2. 6.2 Related Work
      3. 6.3 Experimental Setup
      4. 6.4 Algorithms for Optimization
      5. 6.5 Experiments and Results
      6. 6.6 Conclusions
      7. References
    13. Chapter 7. Evaluating Traffic Signal Control Systems Based on Artificial Transportation Systems
      1. 7.1 Introduction
      2. 7.2 Developing an Artificial Transportation System from the Bottom Up
      3. 7.3 The Evaluation Method
      4. 7.4 Building the Evaluation Platform
      5. 7.5 GreenPass System
      6. 7.6 Experiments
      7. 7.7 Conclusions
      8. References
    14. Chapter 8. An Approach to Optimize Police Patrol Activities Based on the Spatial Pattern of Crime Hotspots
      1. 8.1 Introduction
      2. 8.2 Background
      3. 8.3 Strategy for Near-Optimal Patrol Route Planning
      4. 8.4 A Case Study
      5. 8.5 Conclusions and Prospects
      6. References
    15. Chapter 9. Chemical Emergency Management Research Based on ACP Approach
      1. 9.1 Introduction
      2. 9.2 Problems and Challenges
      3. 9.3 A Research Framework: Parallel Emergency Management System
      4. 9.4 Case Study
      5. 9.5 Conclusions
      6. References
    16. Chapter 10. Bus Arrival Prediction and Trip Planning for Better User Experience and Services
      1. 10.1 Introduction
      2. 10.2 Literature Review
      3. 10.3 Bus Arrival Prediction
      4. 10.4 Bus Trip Planning
      5. 10.5 Prototype and Experiments
      6. 10.6 Conclusions
      7. References
    17. Chapter 11. Mass Customization Manufacturing and Its Application for Mobile Phone Production
      1. 11.1 Introduction
      2. 11.2 Mobile Phone Production Process Description
      3. 11.3 Mass Customization Manufacturing Solution
      4. 11.4 Conclusions
      5. Acknowledgments
      6. References
    18. Chapter 12. ACP Approach-Based Plant Human–Machine Interaction Evaluation
      1. 12.1 Introduction
      2. 12.2 Artificial Human–Machine System
      3. 12.3 Experimental Environment
      4. 12.4 Design of Computational Experiments
      5. 12.5 Expected Effects
      6. 12.6 Conclusions
      7. References
    19. Chapter 13. Cloud of Health for Connected Patients
      1. 13.1 Introduction
      2. 13.2 Drivers for Change in Health Care
      3. 13.3 Applications
      4. 13.4 Conclusions of Cloud of Health
      5. 13.5 Case Study of SMS Messaging in Health Promotion
      6. 13.6 Characteristics of SMS for Use in Healthcare Promotion
      7. 13.7 Conclusions of SMS for Use in Healthcare Promotion
      8. References
    20. Chapter 14. Construction of Artificial Grid Systems Based on ACP Approach
      1. 14.1 Introduction
      2. 14.2 ACP Approach
      3. 14.3 Complex Network Characteristics of Power Grids
      4. 14.4 Construction of Artificial Grid Systems
      5. 14.5 A Case Study
      6. 14.6 Conclusions
      7. References
    21. Chapter 15. Influence of Electric Vehicles on After-Sales Service
      1. 15.1 Introduction
      2. 15.2 After-Sales Service in the Automotive Industry
      3. 15.3 Changes Due to the Increasing Share of Electric Mobility
      4. 15.4 The Impact on Stakeholders
      5. 15.5 Future Perspectives
      6. References
    22. Chapter 16. Service Modeling Optimization and Service Composition QoS Analysis
      1. 16.1 Introduction
      2. 16.2 BPEL4WS-Based Modeling Optimization
      3. 16.3 Web Service Composition Quality Analysis with Stochastic Service Times
      4. 16.4 Conclusions
      5. References
    23. Chapter 17. Urban Traffic Management System Based on Ontology and Multiagent System
      1. 17.1 Introduction
      2. 17.2 Literature Review
      3. 17.3 Ontology of Urban Traffic Management System
      4. 17.4 Multiagent System Architecture
      5. 17.5 Conclusions
      6. References
    24. Index