Description of the project
Methodologies, objectives, and results
Over the past two decades, the importance of manufacturing on both a global and national scale has become evident. Industrial activities, often referred to as "manu-facere," play a significant role in collective well-being and contribute significantly to the global economy. According to the World Manufacturing Foundation, more than 70% of world trade is directly related to manufacturing, and over 60% of job positions are connected to this sector. Manufacturing, along with its related services, contributes approximately 40% to the growth of the global GDP. Italy, with its various manufacturing specializations, ranks among the top ten countries globally, closely following Germany.
However, it is essential to acknowledge the negative impacts of manufacturing on society, including global warming, air and water pollution, resource depletion, land degradation, and solid waste generation. To address these issues, there is a growing need for sustainable and circular manufacturing models, a concept recognized and addressed in Europe through initiatives like the European Industrial Emissions Directive and the Sustainable Consumption and Production Action Plan.
Emerging digital technologies, epitomized by the Industry 4.0 paradigm, offer the potential to facilitate more sustainable, resilient, and circular manufacturing processes, benefiting society as a whole. This transformation requires a shift in mindset, the creation of new solutions, and the cultivation of skills and competencies among individuals.
Unfortunately, even in advanced societies like Europe, there is a significant shortage of individuals with the necessary skills and competencies to drive this transition. In Italy, for instance, there is a severe "skill gap" in the manufacturing sector, with a lack of professionals equipped to support the industry's evolution.
To address this gap, the discussion explores the importance of designing effective Learning Activities and Learning Spaces for technical education. These spaces allow trainees to work with manufacturing facilities and new technologies, fostering active and innovative learning experiences. The concept of Teaching Factories (TFs) has gained prominence in recent years, providing realistic replicas of manufacturing processes that emphasize work-based and active learning. TFs contribute to the development of graduate employability, increased employment prospects, and enhanced educational experiences.
While many international universities have established TFs for manufacturing education, there are still relatively few examples in Italy. The proposal highlights two Italian universities, LIUC and POLIMI, as among the pioneers in this field. LIUC's TF, known as "i-FAB," serves as a Learning Space for students and practitioners to learn about lean production practices and Industry 4.0 technologies. The facility includes manual assembly and disassembly lines for foosball processing, implementing Lean principles such as safety, process stability, total quality, just-in-time, and continuous improvement. Various Industry 4.0 pillars are also integrated, including big data and analytics, simulation models, virtual reality, collaborative robots, automated guided vehicles, intelligent machines, and additive manufacturing for customization and tooling.
In summary, the importance of manufacturing in society is undeniable, but there is a need for a transition towards more sustainable and circular practices. Digital technologies, particularly within the Industry 4.0 framework, hold great promise in achieving this goal. However, addressing the skills gap and promoting effective technical education, such as through Teaching Factories, is crucial for a successful transformation in manufacturing.
Figure 1
LIUC installed a TF named “i-FAB” (Figure 1) in 2016 at the Department of Management Engineering (Cannas et al., 2020). i-FAB is designed as a Learning Space for students and practitioners to learn and experience both lean production practices and industry 4.0 technologies. I-FAB is a model factory consisting of a manual assembly and disassembly line processing foosballs. The manual assembly and disassembly activities conducted in i-FAB have a level of complexity that can be conducted by trainees while providing a realistic simulation of a production environment.The Lean principles on which the i-FAB process is based are safety, process stability, total quality, just-in-time, and continuous improvement.Among the practices and tools that can be implemented in i-FAB there are 5S, standard work, problem solving, poka-yoke, yamazumi chart and lean layout.Technologies implemented in i-FAB regard most Industry 4.0 pillars.Big data and analytics is applied involving the data gathering from the assembly and disassembly processes to data visualization. Simulation models and virtual reality represent the i-FAB process in a virtual environment. Advanced manufacturing solutions, such as collaborative robots, collaborative automated guided vehicles, and intelligent machines take part to the production process. Additive manufacturing provides product customization and tools.
Figure 2
POLIMI has installed its first TF in 2015 (Figure 2), as the Industry4.0Lab at the Department of Management, Economics and Industrial Engineering. The lab has been conceived as a Learning Space to be used for training management and mechanical engineers in I40 technologies. The core of the TF is a the fully automated assembly and manufacturing line with a robotic cell with a high precision 7 axis articulated robot. An AGV and a cobot, controlled by open and independent IT systems, complete the industrial-like scenario with several vertical-integration solutions. The high flexibility of the lab and the modularity of the configuration allows to test and replicate virtually many varieties of manufacturing/assembly systems for discrete manufacturing. The configuration of the assembly line can be quickly reshaped with ad hoc modelling and simulation tools. Each line station is controlled by an individual logic and services can be instantiated on each component/phase both for operational and for energy (electricity and air) consumption.
Figure 3
UNIBG is implementing at the Department of Management, Information, and Production Engineering a TF conceived as learning space focused on the technologies and processes for the digital factory and on the well-being of workers (Figure 3). The installation of the laboratory is expected to end by mid-2023 and it includes (i) a didactic, modular, reconfigurable manufacturing line, consisting of 7 different workstations producing different types of containers through assembly (both manual and automatic) and machining operations; (ii) a sensorised environment in which test and develop new technologies (e.g. environmental sensors, collaborative robotics applications also with artificial intelligence techniques) and new technological services to prevent the occurrence of failures and occupational diseases (e.g. motion acquisition and analysis, data processing with data integration and fusion techniques and data security) without infringing on the privacy of the worker.