Call Center Optimization

This book gives an accessible overview of the role and potential of mathematical optimization in call centers. It deals extensively with all aspects of workforce management, but also with topics such as call routing and the scheduling of multiple channels. It does so without going into the mathematics, but by focusing on understanding its consequences. This way the reader will get familiar with workload forecasting, the Erlang formulas, simulation, and so forth, and learn how to improve call center performance using it. The book is primarily meant for call center professionals involved in planning and business analytics, but also call center managers and researchers will find it useful. There is an accompanying website which contains several online calculators.

The focus of this book is on the management of inbound call centers. Based on technical performance measures this book develops economic performance measures for different classes of telephone service numbers. Both the numbers of agents and the number of offered phones lines are decision variables in the operational personnel planning process. Since call arrivals as well as call-handling times are random in inbound call centers, this book concentrates on performance analysis and optimization using queueing models. These models may differ with respect to several features, for example, the number of customer classes, the number of differently trained agent groups, the limitation of the waiting room, or the customer's impatience. This book describes mathematical methods and algorithms to relate these decision variables to technical as well as economic performance measures.

The material presented in this book is a result of my work in the field of call center management during the period 1999-2002. The focus is on the perfor mance analysis and optimization of inbound call centers. Since call arrivals and call-handling times are often random in inbound call centers, this thesis concentrates on the performance analysis and optimization using queueing models. This book describes mathematical methods and algorithms to relate the number of agents and telephone trunks of a given call center configuration to technical as well as economic performance measures. This book has been accepted as a PhD thesis in Business Administration at the Technical University of Clausthal, Germany. I am indebted to many people for their support during the process of writing this thesis. First of all, I would like to thank my advisor, Prof. Dr. Stefan Helber, for motivating my research to call center related problems. He gently pushed me in fruitful directions and encouraged me to strike a balance between mathematical results and economic implications. Many other helpful suggestions came from him, and his constructive comments on draft versions of this book are invaluable. I am thankful to him and to Prof. Dr. Rolf Schwinn for refereeing this thesis.

This is the only book available today that provides a very readable, step-by-step guide for managing an incoming call center. The book combines theory with practical advice and is filled with over 100 charts and graphs, several case studies and an extensive glossary and index. Readers will learn how to: achieve service level with quality in an era of more transactions, growing complexity and heightened caller expectations; understand the "how" behind best practices; boost caller satisfaction; win top management's support; and discover what separates a good call center from a great one.

Most analytical models developed for customer acquisition, retention or growth do not take into account that it is the human that does the marketing, and miss a great opportunity to boost return on investment. Every call center agent and sales representative is different, as is every customer and without a good matchmaking between them; it is not possible to maximize the conversion rates.

This volume offers the state-of-the-art research and developments in service science and related research, education and practice areas. It showcases emerging technology and applications in fields including healthcare, information technology, transportation, sports, logistics, and public services. Regardless of size and service, a service organization is a service system. Because of the socio-technical nature of a service system, a systems approach must be adopted to design, develop, and deliver services, aimed at meeting end users' both utilitarian and socio-psychological needs. Effective understanding of service and service systems often requires combining multiple methods to consider how interactions of people, technology, organizations, and information create value under various conditions. The papers in this volume highlight ways to approach such technical challenges in service science and are based on submissions from the 2018 INFORMS International Conference on Service Science.

Every customer-facing corporation has at least one call center. In the United States, call centers handle a billion calls per year. Call Center Operation gives you complete coverage of the critical issues involved in the design, implementation, organization, and management of a customer call center. Sharp provides information on advanced technology tools for workforce management, workshop examples for training call center staff, and an analysis of the significance of the call center to overall corporate customer relationship strategies. A special feature of the book is its focus on call center case studies, describing a number of successful call center strategies and best practices, selected from various business sectors - financial, retail, healthcare, travel, technology, and others. These case studies provide useful guidelines based on successful corporate call centers that will guide you in establishing and maintaining the most effective call center operation for your enterprise. · Presents key concepts and techniques, including a formal development process, in a real-world context · Provides extensive management guidelines · Stresses the importance of staff selection and training