About
Green digitalization; Digital readiness; Smart manufacturing; Sensors; Smart sensors; Application

Description
Today, the manufacturing industry is aiming for a sustainable growth via management and improvement of the existing major manufacturing factors, such as productivity, quality, delivery and flexibility. This paradigm, also known as Smart Manufacturing, uses a collection of cutting-edge technologies that support effective and accurate engineering decision-making in real time.

Level
Proficient

About
Data and connectedness; Digital readiness; Green digitalization; Product tracking; Data; Implementation; Regulation

Description
Product tracking is the process of monitoring and logging production data related to specific products so the data collected can be analysed to improve productivity, quality, and regulatory compliance. This session details why product tracking is important, example areas for implementation, methods of tracking, and discusses specific regulatory concerns for high-value manufacturing industries.

About
Intelligence and automotation; Data and connectedness; Green digitalisation; Industrial robots; Metrology Assisted Assembly

Description
No manufacturing equipment is completely accurate; there will always be imperfections and inaccuracies. This is true from precision CNC machines to large industrial robots. However, it may be possible for equipment to operate at greater levels of accuracy when combined with data from metrology equipment – equipment that measures such as laser scanners or CMM machines. This technique – called metrology assisted assembly – is possible at all product scales, but has the most effect on larger products.

About
Data-driven AI, knowledge-driven AI, machine learning, semantic technologies, dynamic dashboards

Description
Artificial intelligence (AI) plays an increasingly important role in various aspects of our lives. Also for companies emerging AI applications lead to a competitive advantage for the early adopters embracing these technologies.
Fusing data-driven and knowledge-driven AI approaches accelerate the economic potential of these technologies.
In this session we will explore what this fusion means for companies, and we will show how expert knowledge can be embedded in your AI solution to improve predictive performance.

About
Queuing Theory, Production lines, Product-flow, Kendall’s notation, M/M/1, Markov Chains

Description
Manufacturing typically involves multiple steps as parts flow between machining stations and assembly processes on the shop floor. Unless you’re using a pulse flow production line where everything moves between stations in sync (see Session AMS 1.3 Large Scale Assembly) it is inevitable that parts will arrive at stations before the station is ready, or stations will be ready before parts are available. Using and understanding queues and the flow of parts will aid in understanding and optimising the production line.

About
Digital twins, Manufacturing Applications, Categorization, Elements, Challenges

Description
In this session we introduce the concept of digital twins – real time simulations of manufacturing systems connected to the real thing. Currently, there is no standard definition for a digital twin, so we start by discussing the different definitions which currently exist. We then consider the different types of digital twins which exist and continue to discuss the basic elements of a digital twin, how they work, their current limitations, and current applications.

About
Modelling, Simulation, Techniques, Interoperability, Tools and Software, Manufacturing system changes

Description
In modern manufacturing, product design and manufacturing rely on computer-aided design (CAD) and computer-aided manufacturing (CAM) software tools. However, the link between CAD/CAM product design and process planning is still weak due to the difficulty of matching characteristics of the product design to the required manufacturing processes, and matching those processes to available equipment capabilities.

About
Data and connectedness, Decision Making, Process, Decision Support Systems, Implementation

Description
Effective decision-making is critical in manufacturing enterprises, and selecting the correct course of action can be the difference between a successful and competitive enterprise, and falling behind the competition. This session discusses the decision-making process, and how it can be made more intelligent and data-driven for easier and more effective selection of actions.

About
Data and connectedness, Data mining, KPIs, Machine learning, Production process optimization, Transparency

Description
Modern sensing systems are making the collection of data from manufacturing systems increasingly easy, but most data collected is never analysed or actioned. However, this data could be used to optimise manufacturing processes if used correctly. This session discusses methods to evaluate manufacturing processes, and ways to use collected data to maximise these key performance indicators.

About
Cybersecurity, IoT, Decentralised Digital Identity, Distributed Ledgers, Computing Systems

Description
In an increasingly interconnected ICT ecosystem, cybersecurity has become a critical aspect of the protection of personal data and critical infrastructures. The Internet of Things (IoT) is one of the emerging technologies that is revolutionizing the way we interact with the digital world. However, IoT also presents new challenges for cybersecurity. In this presentation, we will explore the impact of IoT in the web 3 ecosystem and the challenges it poses for cybersecurity.

About
Human centric digitalization, key professional competences, skills 4.0, digital industry workers

Description
In this session we discuss how the workforce may evolve due to Industry 4.0 and we list a set of key professional competences and soft-skills that will be increasingly important for the change adaptation of digital industry workers.

About
Human centric digitalization, teamwork, leadership, collaborative, connected industry

Description
Companies must be aware that they need to take into account people ready to take on and develop the changes brought by the digital revolution. Therefore, the objective is to generate an integral approach, through a strategic consideration, and implement tools that allow people and organizations contributing to the achievement of companies to the Industry 4.0 model.
In this module we are going to focus on the management of people empowering multidisciplinary collaborations and we are going to learn how to offer multiple learnings, so that professionals can develop their knowledge and at the same time can collaborate with other technological specialties and technologies.

About
Human centric digitalization, Lifelong learning, 3L, learning techniques, training, professional development

Description
Companies must be aware that they need to take into account people ready to take on and develop the changes brought by the digital revolution. Therefore, the objective is to generate an integral approach, through a strategic consideration, and implement tools that allow people and organizations contributing to the achievement of companies to the Industry 4.0 model.
In this module we are going to focus on the management of people empowering multidisciplinary collaborations and we are going to learn how to offer multiple learnings, so that professionals can develop their knowledge and at the same time can collaborate with other technological specialties and technologies.

About
Digital transformation; ERP; interoperability; manufacturing software; Industry 4.0; MRP; MES

Description
Session to introduce the digital transformation conceptual bases and how it can help manufacturing companies achieve their strategic goals: Why is it necessary? How to do it? Which benefits does it provide?
The session also makes special emphasis on information systems. It debates about the areas that need to be digitalized, what digitalizing them involves and how an ERP implementation process needs to be planned.
Finally, some topics about sustainability in digital transformation are being introduced.

About
Intelligence and automotation; Cyber Physical Systems; Cyber Physical Production Systems; Intelligent Robotics; Robotics; Industrial robots; Mechanical structures

Description
This session reviews the basics of Cyber Physical Production Systems (CPPS) and robotics to provide the reader with an introduction about Intelligent Robotics.

About
Intelligence and automotation Intelligent Robotics; Robotics; Safety; Industrial standards; Industrial equipment; Risk assessment; Risk reduction; Control system requirement; Collaborative robots

Description
The session describes the hazard related to robots and the main standards for the safety of robots. Starting from the general norms and standards applicable to machines, risk reduction process and performance level of control systems are addressed.

About
Intelligence and automotation; Intelligent Robotics; Robotics; Application; Mechanical structures; Industrial robots; Additive manufacturing

Description
This session gives an overview on the specifications and requirements for industrial robotics in different application domains, analysing some of the most widespread applications. At the end of the session a special focus is given on industrial robot applications in welding and some more recent developments, such as in additive manufacturing-based processes.

Level
Beginner

About
Data and connectedness, software architecture, edge computing

Description
This webinar provides an introduction to cloud concepts and the network edge. The high-level differences between off- and on-premise clouds are explained, as well as the costs and benefits of edge computing. Well-known cloud infrastructure providers are introduced, and a three step process is explained to move from classic software architectures to microservices in the cloud, running on powerful orchestration software. The concepts are illustrated with the use of a high-level use case.

Level
Beginner

About
Data and connectedness, DLT, data, Machine Learning, AI, Blockchain

Description
This training will start by providing an overview of the current data market to further explain the role of AI and Blockchain in connecting data and unlocking its potential, especially in the manufacturing sector. The expert will also give an insight into CoLearn, a decentralized machine learning platform based on a distributed ledger, and built by Fetch.AI, that enables anyone to share or exchange data securely.

Level
Proficient

About
Data and connectedness, I4.0, AI, data, digital manufacturing, use case

Description
While AI is very well known also in the context of Industry 4.0, profitable and scalable business cases are still rare. This video will explain what can be expected from this technology and what the conditions are for a profitable use case. The expert will also give an insight into i-flow, a solution to minimize the effort for tedious integration of machines, plants and sensors into IT systems and I4.0 use cases and eliminate complex data handling tasks on the shop floor.

Level
Conscious 

About
Digital strategy, transformation, technology, Industry 4.0, basics 

Description
Now, more than ever, companies are navigating an era of profound change. Compared to earlier industrial revolutions, the so-called fourth industrial revolution or Industry 4.0 (I4.0) encompasses not just one but a combination of disruptive technologies (e.g. artificial intelligence, additive manufacturing, cloud computing and cybersecurity – amongst many others) moving at breakneck speed and providing unparalleled transformations across multiple industries.

About
Digital strategy, Industry 4.0, Digitization, Digitalization, Digital Transformation 

Description
Businesses have always been evolving and innovating, new technologies have always come with challenges and opportunities, and ecosystems have always been changing. So what makes the current era of technological change so different?

It’s in the degree of interconnectedness, speed of acceleration of change and the very nature of the change itself. Disruption isn’t new, but the speed, complexity and global nature of the disruption is at a scale never seen before.

Immerse yourself into the present session to understand the definition of and the reasons why companies should bet on digital transformation.

About
Digital strategy, Servitization, data, new digital business model, networked ecosystem, digital product passport

Description
The cooperative and transparent use and linking of different machine and user data in a well-integrated ecosystem based on a standardized architecture enables the development of new solutions and business models using artificial intelligence.
In his presentation, expert Prof. Bernhard Kölmel from the applied University of Pforzheim will provide an overview of the future of products and services in the manufacturing industry.

About
Digital strategy, Industry 4.0, Digitization, Digitalization, Digital Transformation, Advanced Manufacturing Systems, Large Scale Assembly

Description
The assembly processes of large products come with their own set of challenges and complexities. Achieving the tight tolerances and quality requirements as products get larger is a challenging process and requires specialist techniques.

For the purpose of this module, large scale assembly is the assembly of large (greater than 2m x 1m x 1m) multi-component, low batch (<100 per month) products. This module will focus on aerospace assemblies where these challenges are most acutely felt, but also includes high-value automotive assembly, ship building, and high-value construction projects with high quality requirements such as nuclear constructions or bridges.

About
Digital strategy, Industry 4.0, Digitization, Digitalization, Digital Transformation, Roadmap

Description
The term technology roadmapping has gained widespread use in industry, academia and government. A technology roadmap is a high-level visual document that defines and communicates the plan for technology initiatives at the organization. A technology roadmap generally outlines why, when and what technology solutions can be implemented, aligning technological initiatives with both short and long-term business goals. In other words, a roadmap presents the consensus which has been reached regarding needs and the potential technologies required to satisfy those needs. 

About
Human centric digitalization, Industry 5.0, robotics, human-centred, sustainability, resilience

Description
This session addresses the topic of Robotics within Industry 5.0, focused on people, sustainability and resilience.

The expert delves into the current situation and trends within robotics in the workplace, focusing on four main areas of specialization: Manipulation and Collaboration, Perception, Ground Robots and Aerial Robots.

During the session, numerous applied examples of robotics in these four areas of expertise are presented in both the industrial and autonomous aspects and allows us to look at the many possibilities of human-centered robotics on the workplace.

About
Digital readiness, Industry 4.0, Digitalization, Digital Transformation, Manufacturing systems, Product Strategies, Product

Description
The introduction of new products to the market is a challenging time for a manufacturing enterprise. Market needs must be identified to ensure the product has a market to sell to, the product must be designed to meet functional requirements, and a production process must be designed to manufacture the product.