Nearly half of manufacturers have been the victim of cyber-crime, with the sector now the third most targeted for attack. A report, carried out by The Royal United Services Institute (RUSI),pinpoints the susceptibility of manufacturers to cyber risk, revealing that 41 percent of companies do not believe they have access to enough information to even assess their true cyber risk. And 45 per cent feel that they do not have access to the right tools for the job.
This workshop will bring together expertise from across the sector and draw on the skills of other industries that have tackled cyber security issues previously to deliver actionable insights that will allow you to enhance the security of your facility.
Industrial AI focuses on developing, validating and deploying various machine learning algorithms for industrial applications with sustainable performance. Combined with the state-of-the-art sensing,communication and big data analytics platforms, a systematic Industrial AI methodology will allow integration of physical systems with computational models. The concept of Industrial AI is still in its infancy and encompasses the collective use of technologies such as Cyber-Physical Systems and Big Data Analytics under Industrie 4.0.
This workshop will deliver a masterclass in the use and deployment of AI powered solutions within your factories and lay out a roadmap to building the smart factory envisioned in Industrie 4.0.
IBM is investing over $3 billion USD to bring Watson to IoT – including $200 million USD to the new Munich center. Here, the Internet of Things comes of age with advanced Watson cognitive computing technologies and the world’s first state-of-the-art client ‘collaboratories’. With over 6,000 clients and partners and home to 1,000 IBMers, Watson IoT Munich is quickly becoming the center of the smart new global ecosystem.
In Partnership with IBM we are pleased to announce that we are able to give a select number of the delegates for the Internet of Manufacturing DE 2019 event access to the IBM Watson Lab with a guided tour and chance to get up close and personal with over 15 live demos showing the latest in robotics and AI.
Space is strictly limited to 40 people.
Munich is a hotbed of Industrie 4.0 innovation and has some of the most exciting smart factory projects to be found anywhere. We will be opening the doors to one of these factories to allow you to explore the hard reality behind the hype of IIoT tech and get hands on with solutions you can implement within your organisation going forwards.
The manufacturing industry is currently in the midst of a fourth industrial revolution, it is vital to take stock of recent developments to allow the path forward to become clear.
- From predictive maintenance and cyber physical systems to augmented reality and AI, learn the current status of key technologies
- Explore the key players in the ecosystem and understand how they have been implementing IIoT solutions
- Discover what comes next, are we in for a long iterative evolution or is there a revolution on the horizon?
The process of gathering data from across the factory is widely understood and effectively implemented, but what comes next?
- The key to getting the right answers is understanding the right questions; learn how to effectively interrogate your data
- Predictive maintenance, improved efficiency,reducing defects – understand how your data can be mined to deliver savings
An in depth case study of how one of the worlds most innovative organisations are utilising IIoT and Digial Twin to deliver a truly breathtaking landspeed record car.
We bring together the best new organisations breaking outinto the world of industry 4.0 and showcase the future of the manufacturingsector.
With increasing levels of automation meaning 9 out of 10 manufacturers are investing in smart factories, understanding how to build a factory for the future is vital.
Digital twins are becoming a business imperative, covering the entire life cycle of an asset or process and forming the foundation for connected products and services. Companies that fail to respond will be left behind
- Explore how best to integrate digital twin into your current processes and models
- Understand how to reduce cost and improve quality through the use of process twins
- Learn the steps to faster and more effective innovation with R&D twins
Almost regardless of what you produce your data can be the most valuable thing produced in your factory.
- Get to grips with lean management and data analytics to improve internal processes
- Your data is valuable so with the rise of SaaS it is vital to lay the ground rules for data ownership
Josef Kriegmair, Smart Manufacturing, MTU Aerospace
The need for ‘just in time’ and ‘just in sequence’ logistic strategies is increasing, and customers are demanding ever more customisation.
- Learn how digitalisation is can enable you to react more quickly to changing customer preferences
- Explore the impact of technologies such as 3D printing, automated assembly and robotics on a demand driven supply chain
- Discover how to develop a more agile methodology within the manufacturing process to adapt to fluctuations in demand
Building an entirely new factory from scratch is wasteful and potentially unaffordable, integrating existing assets is the obvious solution.
- Analysis and audit of existing technologies and architectures
- Marrying technologies; choosing the right APIs and edge devices
- Maintaining reliability and generating accurate data
The life of a machine or a robot is limited by how well it is built and can extend for many years while electronic hardware is continuously iterated and improved
- Learn from industries such as the automotive sector on how to harmonise lifecycle differences
- Modularisation, could this be the silver bullet to solve the problem?
Reduced costs in service delivery and closer client relationships are the key areas to benefit from these new, data-driven service opportunities.
AI is everywhere, almost anything can now be made “smart”but has the real value been uncovered in manufacturing?
- Define what ‘AI’ means in the context of manufacturing and understand how it can be best deployed
- Explore whether implementing AI can lead to revenue growth and efficiency improvements?
- Discuss what is holding back the wide spread adoption of AI – is it just the lack of the ‘killer use case’?
Session Content TBC
With software, services, and machines coming from a multitude of suppliers and no single data standard reigning supreme, getting a unified view is a challenge.
By filtering, analysing and saving data in a structured manner, a RT-MES transforms information from the production environment and put it in front of the right people at the right time.
- Learn how a RT-MES can enable modifications during the production process
- Are RFID the best way to capture manufacturing data from the factory floor to power decisions?
- Explore how to mitigate sporadic order flow and diverse customer demands in Mass customisation production
AI is delivering new opportunities in the manufacturing space and opening up better and fast ways of delivering products while streamlining and driving greater efficiencies in the factory. IBM will deliver a potted history of the rise of AI and a case study on the role Watson can play in the smart factories of the future.
- Learn about the stratospheric rise of AI and how to separate the fact from the hype
- Explore how and where to apply AI in manufacturing
- Outlook: What's the final frontier for AI within our sector and what is coming in the imminent future?
As the data flow within factories increases alongside the need for speed it is becoming apparent that even the minimal latency inherent in cloud solutions is too much.
- Learn how delegating more data processing power to the edge can enhance productivity
- Explore how Edge computing could be the integration layer between your factory floor data and you ERP system
- Understand the safety benefits of keeping your data in house
The easiest part of data analytics is to collect data. The hardest part is to collect the right data, from the right place at the right time.
- Get to grips with what is useful data and what is just white noise slowing the decision-making process
- Understand what queries to put to your data set and how to enable your edge machines to intelligently select the correct information
- Learn how to minimise cost by keeping big data away from the cloud and limiting use of bandwidth
With data coming to the point where it is the lifeblood of any company and manufacturers in particular, it is imperative to keep it secure.
- Identify vulnerability throughout the manufacturing process
- Define strategies for the early detection of security breaches
- Understanding the range of cyber security vendor offerings to pinpoint what combination will work best in your facility
Blockchain is everywhere and is alternately being touted as the saviour or useless. In the era of 3D printing is DRM management the problem this solution has been looking for?
- As manufacturing capacity is more able to be localised and files rather than finished products are sent can blockchain secure ownership rights?
- Understand how to build smart contracts and secure your IP on the blockchain
- Discuss the merits of blockchain against traditional contracts
Common pitfalls of Industrial IoT projects include a lack of clear understanding, misguided focus on technologies instead of pain points, too-narrow use case exploitation, insufficient project steering, and an unclear deployment approach.
Building out a full smart Factory is an expensive and time-consuming undertaking that is out of reach for companies without deep pockets but with 91% of industrial companies investing in digital factories in some way it is imperative to keep up.
- Understand the key building blocks of a digital factory and which solutions pack the most punch
- Learn how to implement an iterative solution that can grow with a business and expand digital capability over time
With the digital factory comes an increase in IT/OT convergence that is necessitating more interaction between the two teams, how this is managed is critical to the success of an organisation.
- Explore how to break down barriers between Business and IT managers to gain real cost savings and profit
- Learn how to translate technology speak into business benefits to ensure the message from the factory floor is received by head office
- Discuss how the changing role of the CIO within manufacturers is allowing the convergence to happen increasingly quickly
9 out of 10 manufacturers are investing in digital factories and industry 4.0 but to dive in without a coherent and structured strategy risks these investments failing and slowing the uptake of vital smart solutions.
This workshop will, through case studies and interactive sessions, enable you to build an outline of a digital strategy for your organisation that is bespoke to your needs, ensuring the success of your industry 4.0 project.
As the industry moves towards becoming more customer-centric, powered by just in time logistics, increased demand for customisation and the need to drive revenue beyond the product it is more important than ever to be able to understand the areas of your business that are ripe for innovation.
This workshop will take you through success stories from across the sector to enable you to benchmark your progress and plot the path forward to more cyclical revenue and a much healthier bottom line.
Learn from case studies from the factory floor to the head office of NSG Group about how to build and nurture the cultural change needed to drive success with IIoT strategies.
There has been a gradual shift in business and pricing models from ownership based to outcome based, this is being driven by both sellers and buyers.
- Understand how manufacturers can realise new revenue pools to compensate stagnating margins in their core business, while buyers are seeking opportunities to optimize cash flows (from CAPEX to OPEX) and avoid risks.
- Explore how interest in performance-based business models is rising throughout Europe.
- Learn how companies can understand if this approach truly solves their customers’ pain points and provides long-term competitive advantages.
Manufacturing has long prioritized engineering and efficiency at the product and factory level, but a third element is steadily gaining importance: the customer.
- Understand how to leverage the power of data and IoT devices to stay on top of feedback and in tune with the market
- Explore how to diversify your offerings beyond mere products and build long term relationships with your customers
It is vital that as digitalisation moves forwards themanufacturing sector avoids its version of the Betamax/VHS standoff andoutlines simple standards early on
Around the world, many employers who already are struggling to fill job vacancies cast a wary eye toward the future. The existing mismatch between youth skills and current staff and employer needs threatens to become even wider as Industry 4.0 transforms business and jobs faster than workers can adapt. Two-thirds of today’s five-year-olds will, in about 15 years, find themselves in jobs that don’t exist today.
This workshop is a chunk of a wider industry 4.0 qualification and will allow you to gather the knowledge to return to your organisations and develop and deliver comprehensive Industry 4.0 training down to the lowest levels.
- Development of the industry 4.0 concept
- Industrie 4.0 Matrix
- Business model innovation 4.0
With over 30% of manufacturers developing enhanced process visualisation/automation solutions in the next five years we discuss best practice.
- Learn how large-scale efficiency gains can be made through reducing human intervention
- Get insight into how to deliver optimum levels of production within your facility
With customers demanding increased flexibility and complexity, while in addition requiring minimal lead times. The classic business model based on mass production is no longer sufficient on its own.
- Explore the current limits of additive manufacturing and the increasing number of use cases it makes sense for
- Is the future completely customisable or are there inherent limits in 3D printing?
Sensors and machine vision coupled with improved artificial intelligence can allow advanced robots to fulfil their role in manufacturing as independent productive units safely.
- Explore how company’s are conducting their digital transformation: Between optimization and invention
- Value realization: Learn how to implement altered business models supported by new technologies
- Digital governance: From product to service
There is a vision of the future where human operators may move up and down a production line powered by an exoskeleton – melding the best of human and robots through collaborative robotics.
- Explore the steps needed to realise the benefits of cobotics and the potential downsides
- Learn how to overcome the human hurdle and ensure staff can adapt to the new technology
- Discuss what additional safety systems need to be implemented to make this safe
Our world is becoming ever more connected and the manufacturing sector is leading the way; the MES is the lynchpin of the digital factory and the benefits it provides
Smart devices are growing in number, and so is the amount of software in them this means there is a growing need for a comprehensive way to remotely manage these devices.
- Understand the benefits and pitfalls of FOTA
- Look to other industries such as mobile phones and automotive to take key lessons for implementation
- Explore how to successful manage version control and engage with ‘resource constrained’ devices
Zero defect and zero waste manufacturing would offer enormous cost savings and allow manufacturers to deliver to much tighter timescales but is it an impossible dream?
- Manual assembly production is the obvious area to implement AR first – learn how it can benefit
- Explore how augmented reality can dramatically improve quality control for human operators