Service science

Intro -- Service Science -- CONTENTS -- List of Figures -- List of Tables -- Preface -- Acknowledgments -- 1 WHY STUDY SERVICES? -- 1.1 What Are Services? -- 1.2 Services as a Percent of the Economy -- 1.3 Public versus Private Service Delivery -- 1.4 Why Model Services? -- 1.5 Key Service Decisions -- 1.6 Philosophy about Models -- 1.7 Outline of the Book -- 1.8 Problems -- References -- Part I Methodological Foundations -- 2 OPTIMIZATION -- 2.1 Introduction -- 2.2 Five Key Elements of Optimization -- 2.3 Taxonomy of Optimization Models -- 2.4 You Probably Have Seen One Already -- 2.5 Linear Programming -- 2.6 Special Network Form -- 2.7 Integer Problems -- 2.8 Multiple Objective Problems -- 2.9 Mark's Ten Rules of Formulating Problems -- 2.10 Problems -- References -- 3 QUEUEING THEORY -- 3.1 Introduction -- 3.2 What Is Queueing Theory? -- 3.3 Key Performance Metrics for Queues and Little's Law -- 3.4 A Framework for Markovian Queues -- 3.5 Key Results for Non-Markovian Queues -- 3.6 Solving Queueing Models Numerically -- 3.7 When Conditions Change Over Time -- 3.8 Conclusions -- 3.9 Problems -- References -- Part II Application Areas -- 4 LOCATION AND DISTRICTING PROBLEMS IN SERVICES -- 4.1 Example Applications -- 4.2 Taxonomy of Location Problems -- 4.3 Covering Problems -- 4.4 Median Problems-Minimizing the Demand-Weighted Average Distance -- 4.5 Multi-Objective Models -- 4.6 Districting Problems -- 4.7 Franchise Location Problems -- 4.8 Summary and Software -- 4.9 Problems -- References -- 5 INVENTORY DECISIONS IN SERVICES -- 5.1 Why Is Inventory in a Service Modeling Book? -- 5.2 EOQ-A Basic Inventory Model -- 5.3 Extensions of the EOQ Model -- 5.4 Time-Varying Demand -- 5.5 Uncertain Demand and Lead Times -- 5.6 Newsvendor Problem and Applications -- 5.7 Summary -- 5.8 Problems -- References.