Provides a unified view of measurement for quality assurance of essentially any product, process or service

Presents step-by-step guidance from specification, through measurement to decisions on conformity

Illustrates each step in quality-assurance cycles with examples and case studies

Presents a common metrological framework covering 'grand challenge' areas such as where cosmological and microscopic dimensions meet, and where human cognitive ability correlates with the structure and functioning of the brain

Includes pragmatic extensions of significance testing, including optimised uncertainties

Autorentext

Professor Leslie R. Pendrill has for much of his career since the mid 1980's been head of research at the National Metrology Institute of RISE Research Institutes of Sweden. For decades, his research has focused on fundamental metrology, in particular optoelectronic, laser, length and mass measurement. More recently, he has developed new quality-assured measurement methods in which Man is the main actor, weighing the effects of measurement against the effects of product evaluations, including optimised measurement, uncertainty studies and the measurement of perception. Professor Pendrill has been actively involved in several international metrology activities including being Chair of the European Association of National Metrology Institutes (EURAMET); the International Union of Pure and Applied Physics' Commission on Symbols, Units, Nomenclature, Atomic Masses and Fundamental Constants; and the ISO/TC12 Quantities and units standards committee. He earned his PhD in Atomic Physics at the University of Reading, England and moved to Sweden after postdoctoral positions in Paris at the École normale supérieure, JILA Research Institute in Boulder CO, and Oxford University.

Klappentext

This book presents a general and comprehensive framework for the assurance of quality in measurements. Written by a foremost expert in the field, the text reflects an on-going international effort to extend traditional quality assured measurement, rooted in fundamental physics and the SI, to include non-physical areas such as person-centred care and the social sciences more generally. Chapter by chapter, the book follows the measurement quality assurance loop, based on Deming's work. The author enhances this quality assurance cycle with insights from recent research, including work on the politics and philosophy of metrology, the new SI, quantitative and qualitative scales and entropy, decision risks and uncertainty when addressing human challenges, Man as a Measurement Instrument, and Psychometry and Person-centred care.

Quality Assured Measurement: Unification across Social and Physical Sciences provides students and researchers in physics, chemistry, engineering, medicine and the social sciences with practical guidance on designing, implementing and applying a quality-assured measurement while engaging readers in the most novel and expansive areas of contemporary measurement research.

Inhalt

Chapter 1: Measurement challenge: specification and design

1.1 Processes of production and measurement

1.2 Measurement, assessment, opinions from quantitative observations to categorization

1.3 Opening the quality-assurance loop

1.4 Specification of measurement problem

1.5 Case study: Fit-for-purpose measurement specification

Chapter 2: Measurement method and system development

2.1 Design of experiments

2.2 Specification of demands on a measurement system

2.3 Choice and development of a measurement method

2.4 Measurement System Analysis

2.5 Evaluation and validation of a measurement method

2.6 Verification

2.7 Case studies

Chapter 3: Ensuring traceability

3.1 Quantity calculus

3.2 Units and symmetry, conservation laws and minimum entropy

3.3 Calibration, accuracy and true values

3.4 Politics and philosophy of metrology

3.5 Quantitative and qualitative scales

3.6 New and future measurement units

Chapter 4: Measurement

4.1 Performing measurements

4.2 Metrological confirmation

4.3 Case study: Example of measurements

Chapter 5: Measurement report and presentation

5.1 Presentation of measurement results

5.2 Modelling measurement principle

5.3 Case studies

Chapter 6: Decisions about product

6.1 Use of measurement results and conformity assessment

6.2 Closing the quality-assurance loop

6.3 Optimised uncertainties, impact and measurement costs, pragmatic extensions of significance testing

6.4 Risks of incorrect decisions and relation to measurement uncertainty

6.5 Qualitative measurement and entropy

6.6 Case studies