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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 Claustha...
This book contains the three scientific essays that constitute the PhD dissertation of Alexander Lieder: [1] A Dynamic Programming Approach for the Aircraft Landing Problem with Aircraft Classes (also published in: European Journal of Operational Research) [2] Scheduling Aircraft Take-Offs and Landings on Heterogeneous and Interdependent Runways (also published in: Transportation Research Part E: Logistics and Transportation Review) [3] Task Scheduling in Long-Term Care Facilities: A Client-Centered approach (also published in: Operations Research for Health Care)
Order fulfilment systems are forced to manage a volatile customer demand while meeting customer-required short order deadlines. To handle these challenges, we introduce the Strategy of Levelled Order Release (LOR) for workload balancing over time. The contributions of this work are (1) the workload balancing concept LOR, (2) a discrete-time Markov chain for performance analysis, and (3) an algorithm for capacity planning under performance constraints in order fulfilment systems with LOR.
The airline industry has generally followed a growth trend since its inception but the industry’s financial situation is not as healthy as rising passenger numbers might suggest. This book addresses the question of why airline profits are cyclical and examines the causes and dynamics that determine the profit cycle’s shape.
As global CO2 emissions continue to rise, the need to limit global warming has become an increasingly critical scientific and political challenge. The conversion of airport apron vehicles from combustion engines to electric drives is a promising technology in the aviation sector to reduce emissions. However, electric vehicles require longer recharge times, which can be overcome by implementing Dynamic Inductive Charging (DIC) technology. DIC enables charging while driving and provides vehicles with almost unlimited driving range. This book explores different approaches to optimizing the allocation of the required DIC infrastructure components by developing mathematical optimization models and algorithms.
This book deals with the performance analysis of closed queueing networks with general processing times and finite buffer spaces. It offers a detailed introduction to the problem and a comprehensive literature review. Two approaches to the performance of closed queueing networks are presented. One is an approximate decomposition approach, while the second is the first exact approach for finite-capacity networks with general processing times. In this Markov chain approach, queueing networks are analyzed by modeling the entire system as one Markov chain. As this approach is exact, it is well-suited both as a reference quantity for approximate procedures and as extension to other queueing networks. Moreover, for the first time, the exact distribution of the time between processing starts is provided.
This volume contains a selection of papers referring to lectures presented at the symposium "Operations Research 2003" (OR03) held at the Ruprecht Karls-Universitiit Heidelberg, September 3 - 5, 2003. This international con ference took place under the auspices of the German Operations Research So ciety (GOR) and of Dr. Erwin Teufel, prime minister of Baden-Wurttemberg. The symposium had about 500 participants from countries all over the world. It attracted academians and practitioners working in various field of Opera tions Research and provided them with the most recent advances in Opera tions Research and related areas in Economics, Mathematics, and Computer Science. The program consisted...
In order to improve the performance of production systems, companies consider the optimization of the flow line configuration. However, the material supply of the flow line exerts a strong influence on the output of the production system since material shortages impede the flow of workpieces through the flow line. Simultaneously, the configuration of the flow line determines the demand for material. Consequently, the mutual interdependence between the material supply and the flow line has to be considered in order to balance a sufficient material supply of the flow line avoiding material shortages as well as excessive material inventory and handling effort. We provide integrated approaches for the evaluation and optimization of stochastic flow lines with limited material supply. Thereby, we make use of several evaluation methods as Markov chain approaches, aggregation and decomposition approaches as well as linear programming. Further, we model open and closed queuing networks in continuous and discrete time. Hence, we present exact and approximate approaches that allow us to study the effects in several stochastic production systems with limited material supply.