LEARNING PATHS

Riccardo Accorsi, Associate Professor - Department of Industrial Engineering (Academic discipline: ING-IND/17 Industrial Mechanical Systems Engineering)

This learning nugget provides pills, nomenclature and the general boundary of Supply Chain Management concerning Supply Chain systems, processes and operations. Supply chain management is the discipline that studies and manage the flow of products from raw materials to the final costumers, considering the physical processes, stages and operations involving goods and workers from upstream to downstream and setting down processes-integration, strategies, and operational procedures.

Francesca Calabrese, Research fellow and Teaching tutor - Department of Industrial Engineering (Academic discipline: ING-IND/17 Industrial Mechanical Systems Engineering)

The nugget provides basic concepts on Predictive Maintenance of industrial production systems, highlighting the advantages and challenges of the maintenance servitization for both the Original Equipment Manufacturer and machinery users. In particular, the nugget focuses on tools (edge-cloud infrastructures) and methods (Streaming and incremental learning algorithms) for solving typical issues experienced by industries, like data availability, data quantity, and data completeness

Marco Bortolini, Associate Professor - Department of Industrial Engineering (Academic discipline: ING-IND/17 Industrial Mechanical Systems Engineering)

This learning nugget explores the fundamentals of Lean Thinking in modern manufacturing. Starting from an overview on ‘What is Lean?’ by recalling its origin, philosophy and working paradigm, this nugget moves from theory to practice by presenting and classifying some operative tools to implement the lean concept in manufacturing. Finally, insights on how to drive the transition toward lean are reviewed driving practitioners in the application of the proposed contents in industry

Marco Bortolini, Associate Professor - Department of Industrial Engineering (Academic discipline: ING-IND/17 Industrial Mechanical Systems Engineering)

This learning nugget explores Industry 4.0 technologies linking them to the modern global market scenario and to the production and manufacturing systems’ features asked to be competitive. In this way, Industry 4.0 becomes an enabler for advanced manufacturing and each 4.0 technology is placed in the context of the so-called ‘integrated flexible automation’. The origin of Industry 4.0 is, also, presented together with good examples of applications in research and practice

Gianluca Palli, Full Professor - Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" (Academic discipline: ING-INF/04 Systems and Control Engineering)

This nugget is devoted to looking at the potential strategies for manufacturing automation, trying to understand how robots can be exploited in these scenarios. Industrial robots are fundamental elements in automation since they are general purpose programmable machines that can be used in many ways in automation lines to perform very different tasks. Different automation lines and the robots to be employed within are analyzed depending on the production volume and product variety

Paolo Bellavista - Full Professor - Department of Computer Science and Engineering (Academic discipline: ING-INF/05 Information Processing Systems)

This nugget provides basic training and an accessible introduction to the concept of digital twins applied to industrial IoT (Industry 5.0 - I5.0) scenarios and environments. In particular, I5.0 digital twins are precisely defined; the nugget clarifies the role of simulation and IoT big data sensing for I5.0 digital twins; the advanced concept of digital twins running in the cloud continuum is introduced. Finally, the nugget provides some practical examples of digital twins applied to industrial cases, e.g., for predictive maintenance in wind turbine deployment environments.

Andrea Borghesi, Junior assistant professor (fixed-term) - Department of Computer Science and Engineering (Academic discipline: ING-INF/05 Information Processing Systems)

This learning nugget provides introductory training about Artificial Intelligence

Gustavo Marfia, Associate Professor - Department of the Arts (Academic discipline: INF/01 Informatics)

Basic understanding of augmented and virtual reality technologies

Michele Colajanni, Full Professor - Department of Computer Science and Engineering (Academic discipline: ING-INF/05 Information Processing Systems)

This learning nugget provides basic awareness about the main sources of cyber attacks and the most precious targets that must be defended. Moreover, it describes the three main phases that must be considered for cyber defenses: prevention, detection and incident response

Roberto Tinarelli, Associate Professor - Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" (Academic discipline: ING-INF/07 Electrical and Electronic Measurement)

This learning nugget provides basic training in the filed of statistical quality control. Definition of quality is provided and the main techniques for quality improvement by means of statistical tools are summarized

Alessandro Mingotti, Senior assistant professor (fixed-term) - Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" (Academic discipline: ING-INF/07 Electrical and Electronic Measurement)

This nugget is dedicated to Quality assurance & Compliance. It describes the definition of quality and provides a brief comparison between how quality was perceived in the past and how it is now. Afterwards, quality goals, and how they are achieved are presented; before ending with some preliminary information about the Total quality management approach

Roberto Tinarelli, Associate Professor - Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" (Academic discipline: ING-INF/07 Electrical and Electronic Measurement)

This learning nugget provides basic training in risk management. A general definition of risk is provided and then the process of risk management is described by summarizing all process steps as suggested by the international standards

 Alessandro Mingotti, Senior assistant professor (fixed-term) - Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" (Academic discipline: ING-INF/07 Electrical and Electronic Measurement)

This learning nugget provides basic training in safety for manufacturing

Lorenzo Peretto, Full Professor - Department of Industrial Engineering (Academic discipline: ING-IND/17 Industrial Mechanical Systems Engineering)

Introduction to ISO 9001. Top Tier documents: Quality System Manual. Quality Operation Procedures, Quality Forms; Total Quality Management (TQM); QA Matrix; PDCA (Plan Do Check Act)

Davide Fabiani, Associate Professor - Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" (Academic discipline: ING-IND/33 Electrical Power Systems)

This nuggets provides an overview of methodologies to improve energy efficiency. In particular, by controlling the industrial process, waste heat recovery, improvement of combustion efficiency, use of energy management systems, combined heat and power generation, power factor control,  high efficiency lighting and motor, as well as proper building insulation

Giuseppe Mastropieri, Adjunct professor - Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi"

This learning nugget provides basic training in how to link the energy management with the energy market variables and the sustainability variables. We are leaving up today in an unprecedented historical hero where market work, activities, sustainability, both financial, economic, social, environmental impacts are modern, strategic. Currently, we must no longer see energy management only as a functional, as reducing, containing and controlling cost for companies and larger energy consumers.

Alessandra Bonoli, Full Professor - Department of Civil, Chemical, Environmental, and Materials Engineering (Academic discipline: ING-IND/29 Engineering of Raw Materials)

As the call for sustainable solutions at several (operational, industrial and policy) increases, the need for a comprehensive and effective design approach and assessment tools creation have been addressed by researchers and practitioners. In particular, for the definition of a complete framework, the use of a Ecodesign and a Life Cycle Thinking lens is required to explore the longitudinal dimension of the impacts and possible direct and indirect effects triggered on environmental, social and economic level

Alessandra Bonoli, Full Professor - Department of Civil, Chemical, Environmental, and Materials Engineering (Academic discipline: ING-IND/29 Engineering of Raw Materials)

Nowadays, a complex and deep ecological and social crisis is responsible of the rapid deterioration of our physical, social, and economic environment and of the collapse of the traditional consumption model, based on an irreversible utilization and depletion of natural resources and pollution and waste production. Circular economy is the ultimate answer to solving the problem of the depletion and economic scarcity of resources. The transition to a more circular economy is now mandatory for a better use of resources and energy.

Federico Munari, Full Professor - Department of Management (Academic discipline: ING-IND/35 Business and Management Engineering)

This learning nugget describes the key objectives and the steps required for the definition of a company's Innovation Strategy, intended as a common innovation mission and a plan aimed to achieve future organizational growth.  It addresses key questions such as: what is Innovation Strategy? Why is it important? What are the steps that can help develop and implement an Innovation Strategy to guide Digital Transformation efforts? What are the tools available to support this process?

Matteo Vignoli, Assistant professor form another University/Institution (pursuant to law 240/2010, art.6, clause 11) - Department of Management

The course aims to present and experience the different innovation practices in use in organizations, enabled by digital transformation. During the module, Design Thinking, Open Innovation, Lean Startup, and Agile Innovation will be presented in an integrated model called Hybrid Model Matrix. Innovation cases and literature will be introduced to present opportunities and emerging product/service/system innovation trends enabled by digital transformation.

Leticia Canal Vieira, Adjunct professor - Department of Industrial Engineering, Research fellow - Department of Management

This nugget introduces how a circular economy can assist business model innovation towards sustainability. Three strategies for circular business models will be presented: product ownership retention, product life extension, and design for recycling. It also elaborates on which criteria must be considered when deciding which strategy is more suitable for different business contexts

Azzurra Meoli, Junior assistant professor (fixed-term) - Department of Management (Academic discipline: ING-IND/35 Business and Management Engineering)

In many cases, a sound business idea will fail to take off because the entrepreneur made the common mistake of seeing a business opportunity that, in reality, was never really there. In this nugget, we will learn which instruments can support the evaluation of a business idea. In particular, the nugget provides training basic for understanding the value of having a business plan and why it is so relevant. Moreover, it provides some guidelines for writing a business plan

Laura Toschi, Associate Professor - Department of Management (Academic discipline: ING-IND/35 Business and Management Engineering)

New businesses are fundamental generators of innovation and economic progress. But what favors the emergence and growth of these companies? Several internal factors influence innovation dynamics, but the drivers go much further. The presence of an effective ecosystem and the interconnections among actors, in particular financial investors, play a critical role