Progettazione e sviluppo di un sistema di contabilità analitica: il caso Fly Shoes

Questo lavoro di tesi è il risultato di un periodo di tirocinio svolto presso la Fly Shoes S.r.l. di S. Maria a Monte (Pisa), protrattosi da Novembre 2012 al mese di Giugno 2013. L’azienda è specializzata nella progettazione e produzione di calzature da donna per alcuni dei più famosi marchi italiani e internazionali. Il candidato a partire degli obiettivi del management, attraverso l’analisi dei processi e dei reparti aziendali, ha progettato un sistema di contabilità analitica adeguato alle esigenze della società. Successivamente è stato sviluppato un applicativo in grado di implementare il modello di contabilità analitica progettato. Grazie ad esso è stato possibile compiere la validazione del sistema progettato, effettuando l’analisi dei risultati relativi alla stagione “Estate 2013”

Behind the definition of Industry 5.0: A systematic review of technologies, principles, components, and values

This study addresses the emerging concept of Industry 5.0, which aims to tackle societal concerns associated with the ongoing digital industrial transformation. However, there is still a lack of consensus on the definition and scope of Industry 5.0, as well as limited understanding of its technological components, design principles, and intended values. To bridge these knowledge gaps, the study conducts a content-centric review of relevant literature and synthesizes evidence to develop an architectural design for Industry 5.0. The findings reveal that Industry 5.0 represents the future of industrial transformation, offering potential solutions to socio-economic and environmental issues that were inadequately addressed or exacerbated by Industry 4.0. The study provides managers, industrialists, and policymakers with a comprehensive overview of Industry 5.0, including its technological constituents, design principles, and smart components, emphasizing the importance of stakeholder involvement and integration for effective governance of digital industrial transformation within this framework

a conditional linear gaussian network to assess the impact of several agronomic settings on the quality of tuscan sangiovese grapes

Summary In this paper, a Conditional Linear Gaussian Network (CLGN) model is built for a two-year experiment on Tuscan Sangiovese grapes involving canopy management techniques (number of buds, defoliation and bunch thinning) and harvest time (technological and late harvest). We found that the impact of the considered treatments on the color of wine can be predicted still in the vegetative season of the grapevine; the best treatments to obtain wines with good structure are those with a low number of buds; the best treatments to obtain fresh wines suitable for young consumers are those with technological rather than late harvest, preferably with a high number of buds, and anyway with both defoliation and bunch thinning not performed

Synthesis, characterization and DNA interactions of [Pt3(TPymT)Cl3], the trinuclear platinum(II) complex of the TPymT ligand

The triplatinum complex of the 2,4,6-Tris(2-pyrimidyl)-1,3,5-triazine ligand, Pt3TPymT hereafter, has been prepared and characterized for the first time. NMR studies point out that the three platinum(II) centers possess an identical coordination environment. The interactions of Pt3TPymT with DNA were explored in comparison to the free ligand. Specifically, fluorescence, mass spectrometry, viscometry and melting measurements were carried out. In contrast to expectations, the obtained data reveal that no intercalative binding takes place; we propose that binding of Pt3TPymT to DNA mainly occurs through external/groove binding

on prefermentative maceration techniques statistical analysis of sensory descriptors in sangiovese wine

SummaryThe analysis of wine sensory descriptors is a fundamental step in the improvement of wine making, because the procedures are judged just before bottled wine is ready for consumption. Despite several contributions in the literature, traditional analysis of variance methods are not adequate to analyse sensory descriptors, because they are defined on ordinal scales. In this paper, we exploit cumulative link mixed models in a three-way full factorial design to assess the effect of prefermentative maceration, temperature and saignée on wine sensory descriptors. Using cumulative link mixed models, the bias introduced by assessors' judgement and the ordinal scale of sensory descriptors are taken into account. The results were the following: the application of prefermentative maceration techniques did not lead to an improvement in the sensory profile of wines after a year from bottling; wines treated with saignée showed greater intensity in olfactive descriptors; and higher fermentation temperatures resulted in wines that were generally more concentrated

Linear electronics for Si-detectors and its energy calibration for use in heavy ion experiments

Abstract The design and implementation of linear electronics based on small-size, low-power charge preamplifiers and shaping amplifiers, used in connection with Si-detector telescopes employed in heavy ion experiments, are presented. Bench tests and "under beam" performances are discussed. In particular, the energy calibration and the linearity test of the overall system (Si-detector and linear and digital conversion electronics) has been performed with a procedure which avoids the pulse height defect problems connected with the detection of heavy ions. The procedure, basically, consists of using bursts of MeV protons, releasing up to GeV energies inside the detector, with low ionization density