Optimization algorithms for energy-efficient data centers
Hendrik F. Hamann
InterPACK 2013
Business performance continues to be one of the principal subjects in enterprise operations. The evolution of the service economy brings renewed interest to the field of performance modelling. Senior managerial decision makers constantly seek to improve the performance of an organisation. Key areas of interest are what aspects of the business are important for successful performance, and how best to control them, e.g. what investments, resource allocations and other actions must they take to maximise business performance. Our ultimate goal is to develop quantitative models and associated methods or tools that will help high-level managers of services businesses improve their performance. We believe that most organisations could improve their understanding of what drives their performance by following a more rigorous methodology. In this paper, we explore the possibility of modelling performance through learning from a number of diverse technical areas and insights from decision makers of an existing service business. © 2009, Inderscience Publishers.
Hendrik F. Hamann
InterPACK 2013
John M. Boyer, Charles F. Wiecha
DocEng 2009
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SPIE Optical Science, Engineering, and Instrumentation 1998
Liqun Chen, Matthias Enzmann, et al.
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