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Fabio Gregori
Marche Polytechnic University
11Publications
3H-index
27Citations
Publications 11
Newest
#1Marco Marconi (Marche Polytechnic University)H-Index: 7
#2Fabio Gregori (Marche Polytechnic University)H-Index: 3
Last.Claudio FaviH-Index: 8
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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...
2 CitationsSource
#1Alessandra PapettiH-Index: 6
#2Fabio GregoriH-Index: 3
Last.Michele GermaniH-Index: 15
view all 5 authors...
1 CitationsSource
#1Fabio Gregori (Marche Polytechnic University)H-Index: 3
#2Alessandra Papetti (Marche Polytechnic University)H-Index: 6
Last.Michele Germani (Marche Polytechnic University)H-Index: 15
view all 5 authors...
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...
1 CitationsSource
#1Margherita Peruzzini (University of Modena and Reggio Emilia)H-Index: 11
#2Fabio GregoriH-Index: 3
Last.Michele GermaniH-Index: 15
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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...
8 CitationsSource
#1Claudio FaviH-Index: 8
#2Michele Germani (Marche Polytechnic University)H-Index: 15
Last.Marta Rossi (Marche Polytechnic University)H-Index: 4
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1 CitationsSource
#1Claudio FaviH-Index: 8
#2Roberto Raffaeli (Marche Polytechnic University)H-Index: 9
Last.Alessio Vita (Marche Polytechnic University)H-Index: 2
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5 CitationsSource
#1Fabio Gregori (Marche Polytechnic University)H-Index: 3
#2Alessandra Papetti (Marche Polytechnic University)H-Index: 6
Last.Michele Germani (Marche Polytechnic University)H-Index: 15
view all 5 authors...
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...
5 CitationsSource
#1Ivan Meo (Marche Polytechnic University)H-Index: 3
#2Alessandra Papetti (Marche Polytechnic University)H-Index: 6
Last.Michele Germani (Marche Polytechnic University)H-Index: 15
view all 4 authors...
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...
1 CitationsSource
#1Fabio Gregori (Marche Polytechnic University)H-Index: 3
#2Andrea Luzi (Marche Polytechnic University)H-Index: 3
Last.Fabio CamoraniH-Index: 1
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1 CitationsSource
#1Alessandra Papetti (Marche Polytechnic University)H-Index: 6
#2Eugenia Marilungo (Marche Polytechnic University)H-Index: 7
Last.Michele Germani (Marche Polytechnic University)H-Index: 15
view all 4 authors...
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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