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Fabio Gregori
Marche Polytechnic University
10Publications
3H-index
15Citations
Publications 10
Newest
Published on Jan 1, 2018in Procedia Manufacturing
Marco Marconi6
Estimated H-index: 6
,
Fabio Gregori3
Estimated H-index: 3
+ 2 AuthorsClaudio Favi7
Estimated H-index: 7
Abstract Waste management, in particular waste electrical and electronic equipment (WEEE), currently represents an important issue for the modern society. A transition toward circular economy and industrial symbiosis models is needed to mitigate the environmental problem and recover value from end of life (EoL) materials/products. This study aims to define an approach and a platform, dedicated to the WEEE sector, to favor the creation of industrial symbiosis opportunities. Through this structure...
Published on Jan 1, 2018in Procedia CIRP
Fabio Gregori3
Estimated H-index: 3
(Marche Polytechnic University),
Alessandra Papetti5
Estimated H-index: 5
(Marche Polytechnic University)
+ 2 AuthorsMichele Germani14
Estimated H-index: 14
(Marche Polytechnic University)
Abstract In the context of Industry 4.0, this paper focuses on integration of workers in the digitalized factory. It proposes a method to design an IoT infrastructure and acquire human-related data from a production site in order to improve workers wellbeing and overall productivity. The method permits to identify bottlenecks and criticalities from a social point of view, focusing on the human performance, and define corrective actions at different levels (operations, plant layout or shift manag...
Margherita Peruzzini9
Estimated H-index: 9
(University of Modena and Reggio Emilia),
Fabio Gregori3
Estimated H-index: 3
+ 2 AuthorsMichele Germani14
Estimated H-index: 14
Abstract A growing interest towards smart manufacturing is focused on sustainable development at both industrial and policy level. In particular, an effective sustainable development incorporates three fundamental pillars: environment, cost and society. While environment and cost have been already faced by numerous studies so far, society is still the less considered in manufacturing. Social sustainability comprises specific relapses on humans that are quantifiable through social assessment meth...
Published on Aug 6, 2017
Claudio Favi7
Estimated H-index: 7
,
Michele Germani14
Estimated H-index: 14
(Marche Polytechnic University)
+ 5 AuthorsMarta Rossi3
Estimated H-index: 3
(Marche Polytechnic University)
Published on Aug 6, 2017
Claudio Favi7
Estimated H-index: 7
,
Roberto Raffaeli9
Estimated H-index: 9
(Marche Polytechnic University)
+ 3 AuthorsAlessio Vita2
Estimated H-index: 2
(Marche Polytechnic University)
Published on Jan 1, 2017in Procedia CIRP
Fabio Gregori3
Estimated H-index: 3
(Marche Polytechnic University),
Alessandra Papetti5
Estimated H-index: 5
(Marche Polytechnic University)
+ 2 AuthorsMichele Germani14
Estimated H-index: 14
(Marche Polytechnic University)
Abstract The topic of digital manufacturing is increasingly emerging in industry. One of the main scope of data digitalization is achieving more efficient factories. Different techniques and tools under the Industry 4.0 paradigm were already discussed in literature. These are aimed mostly at boosting company efficiency in terms of costs and environmental footprint. However, from a sustainability point of view, the social theme must be equally considered. While energy flows or costs can be alread...
Published on Jan 1, 2017in Procedia Manufacturing
Ivan Meo2
Estimated H-index: 2
(Marche Polytechnic University),
Alessandra Papetti5
Estimated H-index: 5
(Marche Polytechnic University)
+ 1 AuthorsMichele Germani14
Estimated H-index: 14
(Marche Polytechnic University)
Abstract Nowadays the efficient use of energy has acquired a significant importance in the industrial sector. Moreover, stringent regulations on environmental impact lead companies to tread a path towards energy efficiency in short terms to avoid penalties. The goal of this work is to propose a structured method to perform fast and simplified energy assessments. The latter starts from a proper classification of process data, passing through an effective mapping in order to identify criticalities...
Published on Aug 21, 2016
Fabio Gregori3
Estimated H-index: 3
(Marche Polytechnic University),
Andrea Luzi2
Estimated H-index: 2
(Marche Polytechnic University)
+ 2 AuthorsFabio Camorani1
Estimated H-index: 1
Published on Jan 1, 2016in Procedia CIRP
Alessandra Papetti5
Estimated H-index: 5
(Marche Polytechnic University),
Eugenia Marilungo6
Estimated H-index: 6
(Marche Polytechnic University)
+ 1 AuthorsMichele Germani14
Estimated H-index: 14
(Marche Polytechnic University)
Abstract This paper proposes a method to drive process innovation toward the increase in efficiency of a production plant. The work defines a structured method, supported by a classification tool, to correctly organize whole plant information with a mayor focus on energy consumptions. The method was tested in a medium enterprise with the target to increase the efficiency of the entire production plant. The method is the basis for a web application tool. A correct data management permits to plan ...
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