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Service Science, Management, and Engineering:
 
 

Service Science, Management, and Engineering:, 1st Edition

Theory and Applications

 
Service Science, Management, and Engineering:, 1st Edition,ISBN9780123970374
 
 
 

Academic Press

9780123970374

9780123973252

384

235 X 191

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Key Features

    • 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

     

    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.

    Readership

    Computer Engineers; Intelligent Systems specialists. Security professionals

    Service Science, Management, and Engineering:, 1st Edition

    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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