Fiorenzo Franceschini – författare

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:

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.

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. 

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”

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.