Results from classic queueing theory are shown to be useful for capacity planning of largescale multi-server systems. In the field of mainframe systems on-line monitoring and dynamic workload management care for the fulfilment of short-term performance goals with respect to service class...

Capacity planning for large-scale systems like mainframe installations is typically based on rather coarse historical workload data. Hence, it is advisable to employ techniques and tools that use the same macroscopic (high-level) view of the overall system. We follow the classic approach known...

There is a growing emphasis on the role of trade in health services (telehealth, health tourism and retirement, investments and deployment of medical professionals) in easing fiscal constraints, generating jobs and income, improving infrastructure and financing, and upgrading the capacities of...

The use of "Big Data" to explain fluctuations in the broader economy or guide the business decisions of a firm is now so commonplace that in some instances it has even begun to rival more traditional government statistics and business analytics. Big data sources can very often provide advantages...

In this work the influence of production and capacity planning on decisions regarding facility location, distribution quantities and component remanufacturing (and vice versa) in a closed-loop supply chain network (CLSCN) with multiple make-to-order products is studied. A mathematical model, the...

The planning practice of health care capacities suffers from sectoral and regional constraints and it remains difficult to ensure an equal access for patients. Moreover, standard planning approaches lack the choice-theoretic grounding necessary for making reliable predictions of the demand and...

The availability of large-scale medical equipment such as computed tomography (CT), magnet resonance imaging (MRI) and positron emission tomography (PET) scanners has increased rapidly worldwide over the last decades. Among OECD countries, Germany ranks high according to the number of imaging...

Using reverse logistics in production systems can help to reduce costs. However, it can also mean introducing a source of uncertainty in the system behavior. In this study we present a method for calculating the optimal manufacturing and remanufacturing capacities of a system with reverse...

This paper formalizes the process of updating the nowcast and forecast on output and inflation as new releases of data become available. The marginal contribution of a particular release for the value of the signal and its precision is evaluated by computing "news" on the basis of an evolving...

This paper compares the predictive ability of the factor models of Stock and Watson (2002) and Forni, Hallin, Lippi, and Reichlin (2005) using a "large" panel of US macroeconomic variables. We propose a nesting procedure of comparison that clarifies and partially overturns the results of similar...