CIM4.0 Academy

Self-assessment: through a questionnaire, participants will help identify the degree of competence in specific technology and management areas.

Individual assessment: an initial assessment and support meeting aimed at guiding the performance of knowledge transformation and implementation will be held for each participant. Through individual interview, CIM4.0 proceeds to understand the characteristics of the participant and the operational context in which he/she is placed, to assess obstacles, opportunities, and individual characteristics.
Performance is evaluated based on specific KPIs.

Holistic approach to understanding complex systems and basic principles of circular economy.

Analysis of relationships between parts of a system in an ecosystem-based value network context. Evaluation of the implications of the succession of events. Identification of interdependencies, interfaces and different value-generating flows. Analysis role of processes in achieving system equilibrium

IoT, Artificial Intelligence, Network Science and complex systems, Data Economy, Data mining strategy and Data visualization, adv machine learning implications, the Cloud as a tool for process optimization, Industrial cloud platform, Quantum technologies to develop services.

Augmented & Virtual Reality, Digital twin, 5G, Blockchain, Cloud, Quantum Technologies. Evolution of experimental activity on products and predictive on processes, with impacts for design, manufacturing and life cycle management, circularity resources (materials and software). Management of simulations using real and virtual information to increase the efficiency of production processes. Introduction to the implications of new data traffic standards for design, product commercialization, and industrial processes.

Additive manufacturing for materials and new processes. Integration with existing processes, design challenges for processes with AM, value chain evolution, and impact on sustainability performance.

Industrial security, Information Security, Blockchain, impact of GDPR compliance on production processes, embedded security-security by design, impact of cybersecurity practices on business and evolving legislations.

PM evolution with AI and Machine learning Maintenance 4.0 for sustainable manufacturing, circular innovation in PM.

Evolving methodologies based on the principles of I4.0

Evolution of established approaches and new business management processes induced by digital disruption, business process management, DevOps, DesignOps, effective use of management tools for coordinating teams and achieving results, circular economy performance as seen by service providers.

Related to Data Science and Enabling Technologies modules, input on how multisided platforms work, complementor role, and new actors

Exploration of creative methodologies for increasing alternative solutions to problems in contexts of high uncertainty. Emotional intelligence, self-consciousness, engagement generation and new forms of leadership.

Introduction to the implications of new regulations related to enabling technology application and impact on business, industrial and intellectual property protection of innovative technologies.

Development of collective projects, one for each subgroup of up to 5 participants each, to address a concrete problem in the company and propose solutions that derive from the cross-cutting skills acquired and used in the group. The activity involves supervision by a business mentor and the production of an end-of-project report for each subgroup.

After taking the required tests for each module, the participant will be awarded a diploma and will be involved in a second phase of individual assessment. During this second meeting, the graduate will receive a list of guidelines in order to contextualize the application of the knowledge gained. The goal is to maximize knowledge transformation so that the graduate consciously contributes to value creation in the business environment.