Analytics, Operations, and Strategic Decision Making in the Public Sector

✍ Scribed by Gerald William Evans (editor), William E. Biles (editor), Ki-Hwan G. Bae (editor)

• Publisher: Information Science Reference
• Year: 2019
• Tongue: English
• Leaves: 466
• Series: Advances in Public Policy and Administration
• Category: Library

✦ Synopsis

Analytics for the public sector involves the application of operations research and statistical techniques to solve various problems existing outside of the private sector. The use of analytics for the public sector results in more efficient and effective services for the clients and users of these systems. Analytics, Operations, and Strategic Decision Making in the Public Sector is an essential reference source that discusses analytics applications in various public sector organizations, and addresses the difficulties associated with the design and operation of these systems including multiple conflicting objectives, uncertainties and resulting risk, ill-structured nature, combinatorial design aspects, and scale. Featuring research on topics such as analytical modeling techniques, data mining, and statistical analysis, this book is ideally designed for academicians, educators, researchers, students, and public sector professionals including those in local, state, and federal governments; criminal justice systems; healthcare; energy and natural resources; waste management; emergency response; and the military.

✦ Table of Contents

Title Page
Copyright Page
Book Series
Editorial Advisory Board
Table of Contents
Detailed Table of Contents
Preface
Acknowledgment
Section 1: Analytics for Public Transportation
Chapter 1: Volunteered Geographic Service
Chapter 2: Design of Public Services Using Operational Data Analysis
Section 2: Analytics for School Systems
Chapter 3: School Bus Routing and Student Assignment With Special-Need Student Consideration
Section 3: Analytics for Public Health
Chapter 4: Geographic Disparity in the United States Heart Allocation System
Chapter 5: Big Data to Improve Public Health in Low- and Middle-Income Countries
Chapter 6: The Analytic Link Between Population Health and Leading Hospital and Ambulatory Patient Safety Considerations
Section 4: Analytics for Healthcare
Chapter 7: Machine Learning and Simulation/Optimization Approaches to Improve Surgical Services in Healthcare
Chapter 8: Statistical Analysis of Medical Data for Inventory Management in a Healthcare System
Chapter 9: An (s, S) Inventory Optimization Problem
Section 5: Analytics for Criminal Justice Systems
Chapter 10: An Overview of Analytics for the Design and Operation of Criminal Justice Systems
Section 6: Analytics at the United Nations
Chapter 11: Using Data to Guide Decisions for Cash-Based Interventions
Section 7: Analytics for the Military
Chapter 12: Decision Support for Optimal Use of Joint Training Funds in the Canadian Armed Forces
Chapter 13: Defense Supply Chain Operations
Chapter 14: Analytics, Operations Research, and Strategic Decision Making in the Military
Section 8: Analytics for Homeland Security
Chapter 15: Effect of Migration Fear on Sectors
Chapter 16: Shapley-Based Analysis of the Leadership Formation in Social Networks
Compilation of References
About the Contributors
Index