Ottimizzazione di un Sistema di Key Performance Indicators per la Divisione Engineering aziendale. Il caso INTERTABA S.p.A.

Il seguente elaborato è la diretta conseguenza di un periodo di stage, pari a cinque mesi, svolto presso l’azienda INTERTABA S.p.A., a Zola Predosa (BO). Il Dipartimento presso cui è stato svolto il tirocinio è l’Engineering. In particolare è stata compiuta un’analisi dei KPIs presenti e sono state proposte delle azioni migliorative. Il lavoro si è sviluppato in tre fasi. Nella prima fase è stata fatta un’analisi dei KPIs attuali per ciascuna funzione appartenente all’Engineering: Engineering Support, Project Engineering, Plant & Utilities Maintenance, Technical Warehouse e General Services. Nella seconda fase sono state descritte, per ciascuna funzione, alcune proposte migliorative per i KPIs presenti. Infine, per alcune funzioni, sono state proposte alcune iniziative in merito all’implementazione di nuovi KPIs.

Investigating strategies and indicators for sustainable campus: Comparison and synergies between University of Bologna and Delft University of Technology

Sustainable development is one of the biggest challenges of the twenty fist-century. Various university has begun the debate about the content of this concept and the ways in which to integrate it into their policy, organization and activities. Universities have a special responsibility to take over a leading position by demonstrating best practices that sustain and educate a sustainable society. For that reason universities have the opportunity to create the culture of sustainability for today’s student, and to set their expectations for how the world should be. This thesis aim at analyzing how Delft University of Technology and University of Bologna face the challenge of becoming a sustainable campus. In this context, both universities have been studied and analyzed following the International Sustainable Campus Network (ISCN) methodology that provides a common framework to formalize commitments and goals at campus level. In particular this work has been aimed to highlight which key performance indicators are essential to reach sustainability as a consequence the following aspects has been taken into consideration: energy use, water use, solid waste and recycling, carbon emission. Subsequently, in order to provide a better understanding of the current state of sustainability on University of Bologna and Delft University of Technology, and potential strategies to achieve the stated objective, a SWOT Analysis has been undertaken. Strengths, weaknesses, opportunities and threats have been shown to understand how the two universities can implement a synergy to improve each other. In the direction of framing a “Sustainable SWOT” has been considered the model proposed by People and Planet, so it has been necessary to evaluate important matters as for instance policy, investment, management, education and engagement. Regarding this, it has been fundamental to involve the main sustainability coordinators of the two universities, this has been achieved through a brainstorming session. Partnerships are key to the achievement of sustainability. The creation of a bridge between two universities aims to join forces and to create a new generation of talent. As a result, people can become able to support universities in the exchange of information, ideas, and best practices for achieving sustainable campus operations and integrating sustainability in research and teaching. For this purpose the project "SUCCESS" has been presented, the project aims to create an interactive European campus network that can be considered a strategic key player for sustainable campus innovation in Europe. Specifically, the main key performance indicators have been analyzed and the importance they have for the two universities and their strategic impact have been highlighted. For this reason, a survey was conducted with people who play crucial roles for sustainability within the two universities and they were asked to evaluate the KPIs of the project. This assessment has been relevant because has represented the foundation to develop a strategy to create a true collaboration.

Performance measurement review: a comparison between English and Italian companies

Il sistema di misurazione delle performance (PMS) ha ricevuto particolare attenzione dalla ricerca in ambito accademico e dalle aziende che ogni anno investono risorse nell’implementazione e nel miglioramento di questo strumento. I ruoli assegnati al PMS possono essere: misurazione della performance, implementazione della strategia, comunicazione, allineamento dei comportamenti, apprendimento e miglioramento. Queste differenti finalità sottolineano quanto sia strategica un’efficace implementazione di tale strumento. Negli ultimi anni le aziende si trovano a dover competere in ambienti sempre più turbolenti e mutevoli. La capacità di adattarsi al cambiamento è fondamentale, pertanto anche il PMS deve essere aggiornato per garantire un’implementazione di Key Performance Indicators (KPIs) che siano appropriati e rilevanti, considerando le nuove priorità aziendali e le condizioni al contorno. Questa tesi ha come obiettivo quello di analizzare la revisione del PMS, in quanto un inappropriato set di KPIs implementati possono causare un indebolimento del potenziale di tale strumento ed ancor peggio un fallimento degli investimenti riguardanti tale strumento. L’approccio metodologico di questa tesi è un multiple case-study. Per avere una visione più ampia di come viene sviluppata la revisione del PMS nella pratica si è deciso di inserire nel campione aziende di grandi dimensioni operanti in differenti settori industriali. Le informazioni raccolte attraverso le interviste, hanno permesso di fornire un contributo non presente in letteratura: una categorizzazione delle revisioni svolte dalle aziende e riflessioni su di esse. La limitazione di questo studio è legata ad un basso numero interviste svolte.

i sistemi di gestione dell’energia e la previsione dei consumi in ambito industriale ai sensi della norma uni cei en iso 50001

La Tesi nasce a seguito della richiesta da parte di un’Azienda Socia del Consorzio Esperienza Energia di un servizio di supporto per l’ottimizzazione del proprio Sistema di Gestione dell’Energia (SGE/EnMS) ed in particolare per l’implementazione di metodologie di budgeting più efficienti rispetto a quelle attualmente utilizzate. Questo lavoro di Tesi si è sviluppato in due parti: Nella prima parte viene descritto, a livello generale, che cosa si intende per Sistema di Gestione dell’Energia o Energy Management System e quali sono i vantaggi nell’implementazione di tale sistema in una realtà industriale. Successivamente, viene presentata la norma “UNI CEI EN ISO 50001: Sistemi di Gestione dell’Energia – Requisiti e linee guida per l’uso” attraverso una breve introduzione su quelli che sono i requisiti e gli obiettivi descritti nella norma. Nella seconda parte viene descritta l’implementazione pratica di un SGE presso un’Azienda Socia di CEE, partendo dalla raccolta sia dei dati di consumo a livello globale (LIVELLO A) che a livello di Edificio (LIVELLO B), sia dall'individuazione dei principali Energy Drivers (parametri) che veicolano i consumi. Attraverso questi dati è stato creato un Modello di calcolo per la definizione dei consumi di Riferimento (Energy Baseline); tale Baseline traccia i dati di prestazione energetica da cui si parte per andare a costruire per l’azienda i principali Indicatori Energetici (EnPI, Energy Performance Indicators). Il modello energetico così costruito è stato quindi tarato sui consumi energetici misurati al fine di fornire all'Azienda un algoritmo di stima dei propri consumi energetici futuri, sia mensili che annuali. Il processo di taratura ha dimostrato come il modello energetico dell’azienda che è stato costruito in questa Tesi sia da ritenersi uno strumento affidabile per la previsione dei consumi energetici futuri ipotizzando un certo livello di produzione industriale nel corso dell’anno oggetto di simulazione.

Fleet Management System for Search and Rescue Operations

Over one million people lost their lives in the last twenty years from natural disasters like wildfires, earthquakes and man-made disasters. In such scenarios the usage of a fleet of robots aims at the parallelization of the workload and thus increasing speed and capabilities to complete time sensitive missions. This work focuses on the development of a dynamic fleet management system, which consists in the management of multiple agents cooperating in order to accomplish tasks. We presented a Mixed Integer Programming problem for the management and planning of mission’s tasks. The problem was solved using both an exact and a heuristic approach. The latter is based on the idea of solving iteratively smaller instances of the complete problem. Alongside, a fast and efficient algorithm for estimation of travel times between tasks is proposed. Experimental results demonstrate that the proposed heuristic approach is able to generate quality solutions, within specific time limits, compared to the exact one.

Smart Data Analysis on Lamborghini Connected Vehicles

The thesis is the result of work conducted during a period of six months at the Strategy department of Automobili Lamborghini S.p.A. in Sant'Agata Bolognese (BO) and concerns the study and analysis of Big Data relating to Lamborghini's connected cars. The Big Data is a project of Connected Car Project House, that is an inter-departmental team which works toward the definition of the Lamborghini corporate connectivity strategy and its implementation in the product portfolio. The Data of the connected cars is one of the hottest topics right now in the automotive industry; in fact, all the largest automotive companies are investi,ng a lot in this direction, in order to derive the greatest advantages both from a purely economic point of view, because from these data you can understand a lot the behaviors and habits of each driver, and from a technological point of view because it will increasingly promote the development of 5G that will be an important enabler for the future of connectivity. The main purpose of the work by Lamborghini prospective is to analyze the data of the connected cars, in particular a data-set referred to connected Huracans that had been already placed on the market, and, starting from that point, derive valuable Key Performance Indicators (KPIs) on which the company could partly base the decisions to be made in the near future. The key result that we have obtained at the end of this period was the creation of a Dashboard, in which is possible to visualize many parameters and indicators both related to driving habits and the use of the vehicle itself, which has brought great insights on the huge potential and value that is present behind the study of these data. The final Demo of the project has received great interest, not only from the whole strategy department but also from all the other business areas of Lamborghini, making mostly a great awareness that this will be the road to follow in the coming years.

Comparison of different solutions for the hybridization of a motorcycle engine for Formula Student applications and evaluation of the effectiveness on the simulated lap time

Following the latest environmental concerns, the importance of minimising the detrimental effect of emissions of terrestrial vehicles has become a major goal for the whole automotive field. The key to achieve an emission-free long term future is the electrification of vehicle fleets; this huge step cannot be taken without intermediate technologies. In this context, hybrid vehicles are fundamental to reach this goal. Specifically, mild hybrid vehicles represent a trade-off between cost and emissions that could act now as a bridge towards electrification. Like the industry, also student engineering competitions are likely to take the same route: Combustion vehicles may well turn into hybrid vehicles. For this reason, a preliminary design overview is necessary to pinpoint the key performance indicators for the prototypes of the future.