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Maurizio Galetto

Researcher at Polytechnic University of Turin

Publications -  167
Citations -  2638

Maurizio Galetto is an academic researcher from Polytechnic University of Turin. The author has contributed to research in topics: Metrology & Computer science. The author has an hindex of 23, co-authored 152 publications receiving 2234 citations. Previous affiliations of Maurizio Galetto include University of Turin.

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Management by Measurement: Designing Key Indicators and Performance Measurement Systems

TL;DR: In this article, the authors focus on the designing of a Performance Measurement System (PMS), knowing that magic rules to identify them do not exist, and suggest how to identify indicators that achieve a balance in these effects and enhance long-term profitability.
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A new approach for evaluation of risk priorities of failure modes in FMEA

TL;DR: In this article, the authors present a method for carrying out the calculus of the risk priority of failures in Failure Mode and Eect Analysis (FMEA), which is a reliability tool, which requires identifying failure modes of a product or system, their frequency and potential causes.
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Outsourcing: guidelines for a structured approach

TL;DR: In this paper, a new approach for managing outsourcing processes is presented, which can be easily adapted to different application fields, with the main aim of managing strategic decisions, economic factors and human resources.
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Advances in Large-Scale Metrology – Review and future trends

TL;DR: The field of large scale metrology has been studied extensively for many decades and represents the combination and competition of topics as diverse as geodesy and laboratory calibration as mentioned in this paper, which necessitates new ways of considering the entire measuring process, resulting in the application of concepts such as virtual measuring processes and cyberphysical systems.
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A review of localization algorithms for distributed wireless sensor networks in manufacturing

TL;DR: The purpose of this work is to analyse the most significant methods for automatic location of distributed WSNs, and provides a description of the most common criteria used to categorize existing network localization algorithms.