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Capacity Planning (capacity + planning)
Selected AbstractsCapacity Planning in a Transitional Setting with Simulation-based Modeling: A Case StudyINTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH, Issue 2 2002Christoph Haehling Von Lanzenauer Significant progress has been made in the development of modeling and analysis frameworks for the purpose of supporting senior executives in their task of strategy formulation and evaluation. Using the case study British Synthetic Fibres Ltd, the important strategic task of capacity planning is addressed in a transitional setting. The paper illustrates the use of influence diagrams, the development of a spreadsheet model in a language facilitating easy communication with senior management, and the strength of risk analysis as effective tools for managing the capacity-planning process. Special emphasis is placed on the benefits and insights to be gained from this approach in evaluating strategic options in the context of the case study. [source] A Learning Real Options Framework with Application to Process Design and Capacity PlanningPRODUCTION AND OPERATIONS MANAGEMENT, Issue 1 2005Luke T. Miller This paper studies the impact of learning on a multi-staged investment scenario. In contrast to other models in the real options literature in which learning is viewed as a passive consequence of the delay period, this paper quantifies information acquisition by merging statistical decision theory with the real options framework. In this context, real option attributes are discussed from a Bayesian perspective, thresholds are identified for improved decision-making, and information's impact on downstream decision-making is discussed. Using real data provided by a firm in the aerospace maintenance, repair, and overhaul industry, the methodology is used to guide a multi-phased irreversible investment decision involving process design and capacity planning. [source] Capacity Planning in Health Care: A review of the international literatureAUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH, Issue 5 2009Article first published online: 6 OCT 200 No abstract is available for this article. [source] Dimensioning of data networks: a flow-level perspectiveEUROPEAN TRANSACTIONS ON TELECOMMUNICATIONS, Issue 6 2009Pasi Lassila Traditional network dimensioning formulations have applied the Erlang model where the connections reserve capacity in the network. Until recently, tractable stochastic network models where the connections share the capacity in the network did not exist. The latter are becoming increasingly important as they can be applied to characterise file transfers in current data networks (e.g. IP networks). In particular, they can be utilised for dimensioning of networks with respect to the file transfer performance. To this end, we consider a model where the traffic consists of elastic flows (i.e. file transfers). Flows arrive randomly and share the network resources resulting in stochastically varying transmission rates for flows. Our contribution is to develop efficient methods for capacity planning to meet the performance requirements expressed in terms of the average transmission rate of flows on a given route, i.e. the per-flow throughput. These methods are validated using ns2 simulations. We discuss also the effects of access rate limitations and how to combine the elastic traffic requirements with those of real-time traffic. Finally, we outline how the methods can be applied in wireless mesh networks. Our results enable a simple characterisation of the order-of-magnitude of the required capacities, which can be utilised as a first step in practical network planning and dimensioning. Copyright © 2008 John Wiley & Sons, Ltd. [source] Capacity Planning in a Transitional Setting with Simulation-based Modeling: A Case StudyINTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH, Issue 2 2002Christoph Haehling Von Lanzenauer Significant progress has been made in the development of modeling and analysis frameworks for the purpose of supporting senior executives in their task of strategy formulation and evaluation. Using the case study British Synthetic Fibres Ltd, the important strategic task of capacity planning is addressed in a transitional setting. The paper illustrates the use of influence diagrams, the development of a spreadsheet model in a language facilitating easy communication with senior management, and the strength of risk analysis as effective tools for managing the capacity-planning process. Special emphasis is placed on the benefits and insights to be gained from this approach in evaluating strategic options in the context of the case study. [source] The Modern Call Center: A Multi-Disciplinary Perspective on Operations Management ResearchPRODUCTION AND OPERATIONS MANAGEMENT, Issue 6 2007Zeynep Aksin Call centers are an increasingly important part of today's business world, employing millions of agents across the globe and serving as a primary customer-facing channel for firms in many different industries. Call centers have been a fertile area for operations management researchers in several domains, including forecasting, capacity planning, queueing, and personnel scheduling. In addition, as telecommunications and information technology have advanced over the past several years, the operational challenges faced by call center managers have become more complicated. Issues associated with human resources management, sales, and marketing have also become increasingly relevant to call center operations and associated academic research. In this paper, we provide a survey of the recent literature on call center operations management. Along with traditional research areas, we pay special attention to new management challenges that have been caused by emerging technologies, to behavioral issues associated with both call center agents and customers, and to the interface between call center operations and sales and marketing. We identify a handful of broad themes for future investigation while also pointing out several very specific research opportunities. [source] A Learning Real Options Framework with Application to Process Design and Capacity PlanningPRODUCTION AND OPERATIONS MANAGEMENT, Issue 1 2005Luke T. Miller This paper studies the impact of learning on a multi-staged investment scenario. In contrast to other models in the real options literature in which learning is viewed as a passive consequence of the delay period, this paper quantifies information acquisition by merging statistical decision theory with the real options framework. In this context, real option attributes are discussed from a Bayesian perspective, thresholds are identified for improved decision-making, and information's impact on downstream decision-making is discussed. Using real data provided by a firm in the aerospace maintenance, repair, and overhaul industry, the methodology is used to guide a multi-phased irreversible investment decision involving process design and capacity planning. [source] | ||||||||||