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The field of large-scale dimensional metrology (LSM) deals with
objects that have linear dimensions ranging from tens to hundreds
of meters. It has recently attracted a great deal of interest in
many areas of production, including the automotive, railway, and
shipbuilding sectors. Distributed Large-Scale Dimensional Metrology
introduces a new paradigm in this field that reverses the classical
metrological approach: measuring systems that are portable and can
be easily moved around the location of the measured object, which
is preferable to moving the object itself. Distributed Large-Scale
Dimensional Metrology combines the concepts of distributed systems
and large scale metrology at the application level. It focuses on
the latest insights and challenges of this new generation of
systems from the perspective of the designers and developers. The
main topics are: coverage of measuring area, sensors calibration,
on-line diagnostics, probe management, and analysis of metrological
performance. The general descriptions of each topic are further
enriched by specific examples concerning the use of commercially
available systems or the development of new prototypes. This will
be particularly useful for professional practitioners such as
quality engineers, manufacturing and development engineers, and
procurement specialists, but Distributed Large-Scale Dimensional
Metrology also has a wealth of information for interested
academics.
The field of large-scale dimensional metrology (LSM) deals with
objects that have linear dimensions ranging from tens to hundreds
of meters. It has recently attracted a great deal of interest in
many areas of production, including the automotive, railway, and
shipbuilding sectors. Distributed Large-Scale Dimensional Metrology
introduces a new paradigm in this field that reverses the classical
metrological approach: measuring systems that are portable and can
be easily moved around the location of the measured object, which
is preferable to moving the object itself. Distributed Large-Scale
Dimensional Metrology combines the concepts of distributed systems
and large scale metrology at the application level. It focuses on
the latest insights and challenges of this new generation of
systems from the perspective of the designers and developers. The
main topics are: coverage of measuring area, sensors calibration,
on-line diagnostics, probe management, and analysis of metrological
performance. The general descriptions of each topic are further
enriched by specific examples concerning the use of commercially
available systems or the development of new prototypes. This will
be particularly useful for professional practitioners such as
quality engineers, manufacturing and development engineers, and
procurement specialists, but Distributed Large-Scale Dimensional
Metrology also has a wealth of information for interested
academics.
A world that is changing faster and faster forces companies to a
continuous performance monitoring. Indicators give the impression
to be the real engine of organizations or even the economy at
large. But performance indicators are not simple observation tools.
They can have a deep normative effect, which can modify
organizational behaviour and influence key decisions. Companies are
what they measure The selection of good performance indicators is
not an easy process. This monograph focuses on the designing of a
Performance Measurement System (PMS), knowing that magic rules to
identify them do not exist. Some indicators seem right and easy to
measure, but have subtle, counter-productive consequences. Other
indicators are more difficult to measure, but focus the enterprise
on those decisions and actions that are critical to success. This
book suggests how to identify indicators that achieve a balance in
these effects and enhance long-term profitability."
This book focuses on decision-making problems in engineering. It
investigates the ranking aggregation problem and the related
features, such as input/output data, simplification hypotheses,
importance hierarchy of experts. In addition to a well-structured
overview of several interesting, consolidated methodological
approaches, it presents innovative approaches that can also be
applied profitably in other fields. The fascinating selection of
topics included is based on research that has been developed in the
past twenty years. The descriptions are supported by figures,
tables, flowcharts, diagrams, examples and practical case studies.
The book is an ideal resource for engineering academics,
practitioners, technicians and students, who do not necessarily
have an in-depth knowledge of decision-making. It is also a
thought-provoking read for engineers and academics looking for
innovative ways to improve engineering processes in a variety of
fields, such as conceptual design, quality improvement, reliability
engineering. “Today, rankings are exercised in all spheres of
life, products are ranked on Amazon and similar platforms; services
such as restaurants and hotels on platforms such as TripAdvisor;
and other services such as lectures or even medical treatment on
different specialized platforms. We often make our daily decisions
based on these rankings. The quality of our decisions depends on
our ability to select appropriate methods to fit the context and
needs. We need to be familiar with the theory and practice of these
methods to make them useful. To this purpose, this book is an
important addition to the bookshelves of academics and
professionals, not only from engineering. The connection between
theory and practice is weaved throughout the book, making it useful
for practitioners also.” Prof. Yoram Reich, Full Professor and
Head of Systems Engineering research Initiative at Tel Aviv
University (Israel), Editor-in-Chief of “Research in Engineering
Design”
This book focuses on decision-making problems in engineering. It
investigates the ranking aggregation problem and the related
features, such as input/output data, simplification hypotheses,
importance hierarchy of experts. In addition to a well-structured
overview of several interesting, consolidated methodological
approaches, it presents innovative approaches that can also be
applied profitably in other fields. The fascinating selection of
topics included is based on research that has been developed in the
past twenty years. The descriptions are supported by figures,
tables, flowcharts, diagrams, examples and practical case studies.
The book is an ideal resource for engineering academics,
practitioners, technicians and students, who do not necessarily
have an in-depth knowledge of decision-making. It is also a
thought-provoking read for engineers and academics looking for
innovative ways to improve engineering processes in a variety of
fields, such as conceptual design, quality improvement, reliability
engineering. "Today, rankings are exercised in all spheres of life,
products are ranked on Amazon and similar platforms; services such
as restaurants and hotels on platforms such as TripAdvisor; and
other services such as lectures or even medical treatment on
different specialized platforms. We often make our daily decisions
based on these rankings. The quality of our decisions depends on
our ability to select appropriate methods to fit the context and
needs. We need to be familiar with the theory and practice of these
methods to make them useful. To this purpose, this book is an
important addition to the bookshelves of academics and
professionals, not only from engineering. The connection between
theory and practice is weaved throughout the book, making it useful
for practitioners also." Prof. Yoram Reich, Full Professor and Head
of Systems Engineering research Initiative at Tel Aviv University
(Israel), Editor-in-Chief of "Research in Engineering Design"
Given our rapidly changing world, companies are virtually forced to
engage in continuous performance monitoring. Though Key Performance
Indicators (KPIs) may at times seem to be the real driving force
behind social systems, economies and organizations, they can also
have far-reaching normative effects, which can modify
organizational behavior and influence key decisions - even to the
point that organizations themselves tend to become what they
measure! Selecting the right performance indicators is hardly a
simple undertaking. This book describes in detail the main
characteristics of performance measurement systems and summarizes
practical methods for defining KPIs, combining theoretical and
practical aspects. These descriptions are supported by a wealth of
practical examples. The book is intended for all academics,
professionals and consultants involved in the analysis and
management of KPIs.
A world that is changing faster and faster forces companies to a
continuous performance monitoring. Indicators give the impression
to be the real engine of organizations or even the economy at
large. But performance indicators are not simple observation tools.
They can have a deep normative effect, which can modify
organizational behaviour and influence key decisions. Companies are
what they measure The selection of good performance indicators is
not an easy process. This monograph focuses on the designing of a
Performance Measurement System (PMS), knowing that magic rules to
identify them do not exist. Some indicators seem right and easy to
measure, but have subtle, counter-productive consequences. Other
indicators are more difficult to measure, but focus the enterprise
on those decisions and actions that are critical to success. This
book suggests how to identify indicators that achieve a balance in
these effects and enhance long-term profitability."
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