Program

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The Conference will be held on 28 and 29 May.


With a strategic and technological approach, accredited and specialised speakers, both national and international, will tackle the main themes in the maintenance sector from the different technological dimensions of Industry 4.0, over one and a half days.

Discussions on “real case studies and problem solving” will be some of the highlights at the conference. The speakers will be end users of leading sectors in the field of maintenance technologies, technology centres, equipment manufacturers and technical suppliers, R&D managers and developers.

Tracks & Themes:


Session1: SMARTness and pervasive computing in maintenance.

Pervasive computing develops, there will be an evolution from isolated “smart spaces” to more integrated enterprise environments where the dream of unconstrained, ubiquitous, pervasive computing will face the realities of enterprise requirements, market forces, standardization, government regulation, security, and privacy given the promise of smart spaces to improve asset performance and lower costs.

  • Instrumentation and interconnection.
  • Sensors, DAQ and data loggers.
  • Power consumption issues: Energy harvesting, passive sensors and long lasting batteries.
  • Transmission issues: Bluetooth, Industrial Ethernet, RF and fiber.

Session 2: Maintenance and CPS Cyber physical systems.

This session deals with a term “Industry 4.0” and the diverse nomenclature which produces certain astonishment and incomprehension especially when first encountered as “cyber-physical system” or CPS for short. Before we look more closely at this term and its meaning, will firstly consider its embedding in the context of Industry 4.0.

  • Classification of CPS in Maintenance 4.0.
  • Basic Functions and Uses of CPS in maintenance.
  • CPS as technology integration: IT and OT.
  • Digital platforms, digital services and processes.

Session 3: Cloud computing, maintenance data sources and data centers.

The compute, storage and networking capabilities provided by compute services are the foundation of Industry 4.0. This is where data i.e the raw material for knowledge extraction resides and can be processed. Critically, compute services are capable of supporting workloads across the full ecosystem of devices created by Industry 4.0. Compute services are the equivalent of the water wheel or steam engine in the original Industrial Revolution, harnessing the power of the available resources. This session deals with the different types of data in nature and origin together with the issues and challenges of current computing solutions where storage and services may happen.

  • IT versus OT.
  • CMMS, ERP, MES, EMS, PLM and other actors.
  • Attempts of data standardization: Taxonomies and ontologies.
  • Cloud services.
  • Data repositories and data centers.
  • The dilemma of the end user to decide hardware and software solutions.

Session 4: Big data analytics and the new know in maintenance.

Big-data is the new frontier for collecting and analyzing data and for turning it into usable information. Big data applications generally seek new knowledge and extract useful information and intelligence from the data and convert them into business advantages. Big data in industry 4.0 include necessary stakeholders which instrument, interconnect and finally provide intelligence to the systems. In fact, one of the application areas which created more expectations is a better operation and maintenance in the form of self-learning and smart system that predicts failure, makes diagnosis and triggers maintenance actions. These systems are already having high demand on data access and data quality and use multiple data sources to extract relevant information with further analytics

  • Connection: sensors and networks.
  • Content/Context (meaning and correlation).
  • Sharing and collaboration.
  • Descriptive analytics.
  • Predictive analytics.
  • Prescriptive analytics.

Session 5: IoT in maintenance.

The Internet of Things – IoT – is a collective term for the development that means that machinery, vehicles, goods, appliances, clothes and other things and creatures (including humans), are equipped with tiny sensors and computers. These can perceive their environment, communicate with it, and thus create a situational behavior and help create smart, attractive and helpful environments, products and services. More recently, certain organizations have talked about the Internet of Everything, which can be considered a generic term for all communication on the Internet. Today’s “connected things” (Internet of Things) is the poster child for gaining insight, innovation, and economic growth from data science and new sources of big data about consumers.

  • Organization issues of IoT deployment.
  • Reference architecture and specification of requirements per function.
  • Standardization of protocols, APIs, and common parts such as address spaces, etc.
  • Software products at different levels (service access, common IoT services, infrastructure services).
  • Hardware Products – industry-specific sensors, actuators and forms of communication as well as generic electronics and embedded systems.
  • Systems built up by generic and industry models.
  • Provision of skills: basic, advanced and special education to create IoT specialists.

Session 6: Operator 4.0

Industry 4.0 enables new types of interactions between operators and machines interactions that will transform the industrial workforce and will have significant implications for the nature of work, in order to accommodate the ever-increasing variability of production. An important part of this transformation is the emphasis on a human centric approach of the factories of Industry 4.0era. This session will explore a vision for the Operator 4.0 in the context of human cyber physical systems and adaptive automation towards human-automation symbiosis work systems for a socially sustainable manufacturing workforce

  • Augmented reality for O&M.
  • Wearables and localization devices.
  • Intelligent health and safety devices for operators.
  • Collaborative robotics in Industry 4.0.
  • Human factor in Industry 4.0: ergonomic and psychological issues and challenges.

Session 7: Cybersecurity and risks new maintenance issue.

Industry 4.0 is the current trend of automation and data exchange in manufacturing technologies but with the increasing use of off-the-shelf components, remote maintenance and system integration, industrial control systems are now increasingly exposed to external attacks, adding an additional point of failure from a safety perspective.

  • Cybersecurity in OT level.
  • Cybersecurity in IT level.
  • Risks and threats of sharing data.
  • Blockchains in cybersecurity.

Session 8: Maintenance 4.0 across the sectors

With so much change in industry, there’s one area that other sectors can’t afford to ignore: digital ecosystems which are part of the same value chain. Indeed, they can only function efficiently if all parties involved can trust in the security of their data and communication, as well as the protection of their intellectual property. That is why transportation is a key factor in the 4.0 revolution as part of the global supply chain. Not only that, the biggest challenge of industrial leaders isn’t technology – it is the people and concepts like hospital 4.0, infrastructure 4.0 etc. are paid more attention.

  • Transportation 4.0 and Railway 4.0.
  • Infrastructure 4.0.
  • Oil & Gas 4.0.
  • Aeronautics 4.0.
  • Advance manufacturing / Machine Tool.