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4 + 1 Dopo la pubblicazione del bando è stata finanziata una nuova borsa dall'Istituto Superiore di Sanità sulla tematica:"Operations Management e valutazione della performance di una struttura sanitaria"
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Educational goals

The ability to conceive and develop products, processes and organizational innovations is a main leverage to enable industrial system being competitive in the global market. Many companies have yet to respond and adapt themselves to the new sustainability requirements of a highly dynamic and unpredictable environment. As a result of the diffusion of Industry 4.0 technologies, the speed of evolution has increased: to enable innovation cycle being a factor of competitive growth, a proactive behavior is needed to address industrial developments in the near future, starting from applied research. These activities will also take into account the relationship between public and private bodies, assessing different regulatory scenarios and funding possibilities, in order to build a progressive path of integration among the different stakeholders’ requirements. Emerging challenges therefore expect an ability to follow technological trends and to guide companies in a transformation able to respond to growing economic, social, and environmental pressures and constraints. In this context, the PhD course in Industrial and Management Engineering presents the following targets: a) definitions of methodologies for the design, analysis, management and improvement of products, processes and organizational structures; b) continuous growth and evolution of innovation paths; c) knowledge transfer and adaptation on an industrial scale; d) adoption of the results achieved, to extend the demand for innovation and define new evolutionary requirements of products, processes and organizational structures. The aim of the PhD course is to generate profiles able to design and manage innovative production systems and services with an overall vision to ensure the alignment of technological choices with the companies' strategies and their characteristic industries. The outcomes of the research activities have therefore to be assessed in a multidisciplinary way, on the broader concept of community and well-being, thanks to the potential impact on all economic sectors. In particular, the Ph.D. in Industrial and Management Engineering, deals with in-depth study of: - products and services, in terms of new technical and functional characteristics and their prototype solutions; - technologies, with an incremental path of knowledge acquisition from pure experimentation to the realization of new production processes on an industrial scale, in particular in a highly digitized environment; - business processes, for the continuous improvement of their effectiveness and efficiency, in terms of production, environmental, safety, social responsibility and competitiveness objectives; - strategies and organizational models able to guarantee the creation of value and a competitive positioning, also through the definition of new business models; - business networks, harmonizing and governing needs through coordination, collaboration, risk and benefit sharing. Moreover, considering the composition of the scientific sectors of the PhD, research activities will privilege (but will not be exclusively limited to) the following areas: advanced production techniques, including Additive Manufacturing and 3D printing; design of products and solutions for biomedical engineering; management of ergonomics and human factors; resilience of complex socio-technical systems; integration of Cyber Physical Systems and Internet of Things in Smart Factories; reliability, maintainability, safety and security management of industrial systems; risk management and governance in organizations; integrated design and optimization of supply chains, production processes and services, including Product Service System; management of complex projects and their portfolio; environmental management of industrial systems. The main tools for the analysis of these areas will concern the development of simulation and analytical models; topological analysis of networks; application of new technologies for Artificial Intelligence, Big Data and Augmented Reality; collaborative design and Concurrent Engineering.

Exam - Oral

Giorno: 24/9/2020 Ora: 09:30 Aula: da definire in seguito Indirizzo: da definire in seguito

Dipartimento di ingegneria meccanica e aerospaziale


Scuola di dottorato in Scienze e tecnologie per l’innovazione industriale

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