Management of Uncertainty: Theory and Application in the Design of Systems and Organizations (Decision Engineering)

Management of Uncertainty: Theory and Application in the Design of Systems and Organizations (Decision Engineering) Review

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Management of Uncertainty: Theory and Application in the Design of Systems and Organizations (Decision Engineering) Feature

The handling of uncertainties stemming from internal processes and the environment is a core issue in organizational and system design. Management of Uncertainty examines the necessity of living with technical and organizational uncertainties, or even taking advantage of them without losing the stability created by reducing uncertainty.

Building on concepts from organization theory, control theory, decision theory, and work and organizational psychology, a decision process is proposed that supports systematic evaluation of the costs and benefits of reducing, maintaining, or increasing uncertainty in a particular context.

Management of Uncertainty will be a useful tool for postgraduate researchers, as well as for operational and strategic decision-makers in organizations. It offers a number of concrete instruments for organizational and system design, which are further illustrated by a range of case studies.

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The Uncertainty of Measurements: Physical and Chemical Metrology and Analysis

The Uncertainty of Measurements: Physical and Chemical Metrology and Analysis Review

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The Uncertainty of Measurements: Physical and Chemical Metrology and Analysis Feature

With the uncertainly of measurement results drawing the attention of managers, metrologists, and customers, this comprehensive guide works to show the importance of metrology while explaining the science of the uncertainty of measurements. Kimothi shows how the accuracy of measurements affects all of us in trade, commerce, safety, health care, environmental protection, and more. External and internal customers, along with regulatory agencies, often prescribe measurement accuracy requirements. This book helps to sort out the current issues surrounding measurement reliability. Kimothi's explanations make it easier for organizations to understand the concerns of measurement uncertainty in decision-making.

Newcomers to metrology will find Kimothi's explanations easy to follow because this book starts off with a comprehensive introduction to the basic principles of reliable measurements. As the text progresses, these basic principles provide a foundation for more and more advanced aspects of measurement uncertainty. The book describes: the need for measurement certainty, techniques to achieve results, and standards in measurement. This comprehensive range of information makes this an ideal desk reference for metrology students and statistical quality enthusiasts. Kimothi includes information about current events regarding reliable measurements and how the uncertainty of measurements affects trade, Six Sigma, and more.

Topics covered include:
· Guide to the Expression of Uncertainty in Measurement (GUM) approach
· A complete chapter on calibration and measurement traceability
· Statistical techniques in metrology
· Examples of measurement data and random variables
· Probability density functions
· Sampling distribution
· Statistical estimation degrees of freedom and regression
· How to evaluate various uncertainties in measurements using several approaches including international consensus
· One chapter is devoted to measurement errors
· Information specific to calibration laboratories
· Examples of R&R studies

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