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Simple tools and techniques for enterprise risk management
Call No. 658.155 C466s 2006
Enterprise Risk Management (ERM) represents a fundamental shift in the way businesses must approach risk. As the economy becomes more service driven and globally oriented, businesses cannot afford to let new, unforeseen areas of risk remain unidentified. Currency fluctuations, human resources in foreign countries, evaporating distribution channels, corporate governance, and unprecedented dependence on technology are just a few of the new risks businesses must assess.
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Business continuity strategies : protecting against unplanned disasters
Call No. 658.4056 M996b 2006
Completely updated throughout to reflect lessons learned from 9/11 and hurricanes Katrina and Wilma, Business Continuity Strategies, Third Edition helps cost-conscious senior management:
* Establish a corporate contingency program policy and strategy that ensures timely completion of a plan, with minimal disruption to operations
* Minimize plan development costs
* Understand the importance of conducting briefings to communicate the proper mindset before the program development process begins
* Save time and money by avoiding a consultant's traditional approach of extensive information-gathering that contributes little to the development of practical solutions, but much in the way of consultant fees
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Autonomous mobile robots : sensing, control, decision-making, and applications
Call No. 629.8932 A939 2006
It has long been the goal of engineers to develop tools that enhance our ability to do work, increase our quality of life, or perform tasks that are either beyond our ability, too hazardous, or too tedious to be left to human efforts. Autonomous mobile robots are the culmination of decades of research and development, and their potential is seemingly unlimited.
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Process modelling for control : a unified framework using standard black-box techniques
Call No. 629.8312 C671p 2005
Many process control books focus on control design techniques, taking the construction of a process model for granted. Process Modelling for Control concentrates on the modelling steps underlying a successful design, answering questions like:
How should I carry out the identification of my process in order to obtain a good model?
How can I assess the quality of a model with a view to using it in control design?
How can I ensure that a controller will stabilise a real process sufficiently well before implementation?
What is the most efficient method of order reduction to facilitate the implementation of high-order controllers?
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