H ATLANTIS Engineering επενδύει σταθερά δεκαπέντε χρόνια, στην έρευνα με στόχο την αξιοποίηση των νέων τεχνολογικών δυνατοτήτων και την ανάπτυξη προϊόντων.
Key enablers: AI/ML algorithms, Big Data handling, Cloud Computing
Key enablers: Rule-based engine, Machine Learning, Risk Assessments, Cost Assessments, Notifications
Key enablers: AI/ML algorithms, Big Data handling, Cloud Computing
Competitive share data-driven products for ZDM (Zero Defect Manufacturing) strategies, Industry 4.0 technologies, validated results in 14 pilots.
ATLANTIS developed software service solutions for 3 pilots and contributed to techno economical evaluation. Two algorithms were developed: Remaining Useful Life Estimation (RUL) and Failure Detection and Identification for accurate calculation of the remaining life of industrial equipment, detection and prediction of emerging failures and calculating the deterioration rate of assets. Application of machine learning techniques and development of Decision Support System (DSS) and Strategies for ZDM. Quality Control stage is automated and facilitated by smart suggestions for optimal planning.
Innovative solution for Quality Control processes, Health and Safety goals, self-navigated robotic vehicles paired with monitoring systems.
Long-term health of the working personnel, especially in domains where body posture is compromised, is an issue that draws increasing attention. ALTANTIS is developing a Decision Support System (DSS) to complement the task of body monitoring by evaluating of each person’s posture, DSS eventually provides with notifications when a change is recommended. The DSS solution and the integrated solution has been demonstrated in KLEEMANN’s pilot. ATLANTIS is responsible for designing a business exploitation plan for the complete solution, in order to serve future business-oriented activities.
Innovative strategies, process Chains optimization for increased Quality, re-configurability, and recyclability of Manufacturing Optoelectronics
ATLANTIS ENGINEERING will develop the Reverse-Supply-Chain for managing defected parts in production and the DSS to support decision making for both flexibility and product quality. Furthermore, the development of HLCM (High Level Communication Middleware) for interfacing with high management systems is part of our tasks. An important aspect of our part lies in evaluating the IQONIC system and exporting trends and values for drawing conclusions on the expected impact and stakeholder’s expectation. We are also responsible for the Knowledge Management and IPR protection activities.
Autonomous solutions for Zero Defect Manufacturing (ZDM) in Food Industry and dairy products, Industry 4.0 tools, smart sensors, and optical measurements in Quality Control stage.
ATLANTIS is responsible for creating a Decision Support System (DSS) able to manage and correlate incoming data by different sensors to decrease faulty products. The DSS will be demonstrated in two Greek dairy industries with great impact on the Hellenic market, to implement preventive actions and ensure the final product quality. Moreover, ATLANTIS will be integrating the developed sub-systems and solutions during the project’s life, to create a complete and combined final product. Final goals are detection, prediction and prevention of future product failures.
Controlling agro-food product condition in the supply chain, monitoring transportation and distribution processes with smart sensors.
Co-funded by EU
ATLANTIS is handling data obtained by monitoring key parameters during the storage and transportation of sensitive products. A Decision Support System with self-learning abilities will be developed to aggregate information provided from the sub-systems, to provide with recommendations and trigger preventive actions. ATLANTIS is responsible for the creation of an integrated solution and for building a future exploitation plan for the project’s results. Complete solution will be tested and validated by two high profile pilots of the Greek industry Pilots (MEVGAL, MAKIOS), ensuring final product quality.
Prediction and detection models in combination with sensors for predictive maintenance, Improved risk management and increased useful machine life, optimization of manufacturing
ATLANTIS ENGINEERING is responsible in designing and developing predictive analysis models to ensure strong prediction and detection to achieve zero defect results in combination with risk management models and maintenance strategies. We are also leading the efforts for raising awareness of the project’s results, functioning as the Dissemination and Communication Manager, while we manage the IPR strategy of the project results, assisting the partners in exploiting the resulted products to their best advantages.
Machine Learning, prediction and detection, predictive maintenance, maintenance manager sub-system, Prediction and Detection sub-system, Alarm and feedback sub-system.
We are leading the task and the efforts to ensure the designing of fusion meta-models for prediction and detection of defects as well as the testing and improvements of the developed software to ensure zero defects. ATLANTIS ENGINEERING will also be responsible for the evaluation of the system on the factory premises, while we are leading all efforts on how to commercialise and exploit the PRECognition results, having the role of Dissemination, Communication and Exploitation Manager of the Project.
Manufacturing of a digital value chain, Digital Twins, ensuring of circularity, autonomy, and interoperability of data amongst European Industries, long-term agility, and competitiveness
ATLANTIS participates in the project as Technical Provider, sharing technical knowledge about Industry 4.0 and AI applications and serving the project’s main purpose for data-as-a-product. ATLANTIS is developing services that can be utilized by the Digital Twin models. The services’ development matches the experimental requirements, so that all the solutions can be deployed and demonstrated to special Testing and Experimental Facilities. ATLANTIS background knowledge on Smart Maintenance Procedures will be supporting all the related activities during the life of the project.
Innovative Protocols and Strategies for extending the useful life, holistic operational and refurbishment framework
ATLANTIS ENGINEERING brings its knowledge and experience in smart and cognitive manufacturing, in Multi-Level DSS, FMECA and Criticality analytics modules as well as in Digital Strategies for maintenance operations. The company leads the strategies design and implementation tasks, while, strong is our presence in the fusion mechanisms for increased accuracy in machinery failure predictions. Furthermore, we have assumed the role of developing and monitoring the Knowledge Management system as well as managing the IPR strategy for exploiting the resulted products to their best advantages.
Creation of co-federated digital platform for Circular Economy processes, supply chain shared information, applicable strategies for post-use products.
ATLANTIS ENGINEERING SA is responsible for developing a Decision Support System (DSS) for Circular Economy processes and early requirements verification. DSS for CE, is to coordinate and classify incoming information from diverse sources and offer guidance towards choosing the optimal CE solution. Available CE strategies (recycle, reuse etc) are defined by limits and restrictions. The tool provides with easy presentable and ready to exploit results in order to choose the best strategy for the available CE entities. So far, the DSS for CE has been demonstrated in two pilots of the project, highlighting the service’s multidimensional approach.
Smart and Autonomous robotic solution, successfully disinfection of crowded workplaces, selection, and prioritization of highly used areas.
ATLANTIS is leading the project, planning, and guiding business activities, during the life of the project. In terms of technical results, ATLANTIS is responsible for developing a Decision Support System that will be using activity monitoring data, to assist the robotic vehicle with the prioritization of the disinfecting procedure. Use of human resources is expected to be minimized during disinfecting procedures, avoiding unnecessary health risks for employees. The cutting-edge solutions are further supported (technical and economical) with the guidance of experienced mentors.
DTAM project aims to create and provide innovative curricular training (reskilling and upskilling opportunities) in digital transformation competences for the advanced manufacturing sector (AM), for mid-high level IT and OT technicians at EQF Levels 4-5 +. Training modules covering: Big Data, Machine Learning, Sensors, Cyber-security, and Transversal Competences. The integral DTAM curriculum will prepare: ICT, Robotics and Automation technicians.
We will be leading the following activities: Development of the e-learning platform, lead the development of the ML training material, design, set up and run the project website.
JoInME is an education-oriented project, inspired by the unstable economic conditions and the unpredictable teaching circumstances created during the COVID-19 pandemic. The project aims to support higher education teachers by providing them with agile teaching tools on the topic of entrepreneurship, to prepare students for the upcoming challenges of Industry 4.0/5.0 technologies.
Managing the Quality Assurance procedures, ensuring the quality of the final project results. The company is leading field research to determine the challenges of Industry 4.0/5.0 & AI Technologies.
AI-driven digital transformation, VET schools, Artificial Intelligence, Prevention and dealing with game addiction, Coding and Video Game development
Development a part of the real-life scenarios and providing information on the EU and National Guides on Artificial Intelligence. Contributing throughout the project.
The Regio.Digi.Hub project is a new Erasmus+ project, aiming to offer high-quality educational actions and activities that support the professional activity of the key-actors in the field of regional development and to raise awareness of the workers in the field of regional development about the importance of learning using modern learning systems that incorporate innovation and digitalisation.
We will be leading Quality Assurance activities and we will contribute to the implementation of the project.
The DGI TOURISM project seeks to adapt the vocational education and training (VET) offering to the challenges of the digital age and climate change, innovatively accommodating post-Covid travel sector needs that enable a smooth transition towards more sustainable strategies and futureproofing the tourism sector. The main project objective is to promote sustainable thinking in vocational education and training in tourism.
Atlantis will be leading Quality Assurance Activities and will be responsible for the development for the Lean Methodological Framework and the Training Course Delivery.
The AMT2P project will create a structured educational framework, starting from the base training methodology, up to the level of developing the training content, and designing digital tools to support the teaching and learning processes, to bridge the skills-gap, and lack of expertise on the operation of Advanced Manufacturing Technologies (AMT) (e.g. 3D printing, robotics), on the plastics sector (PS).
We will be leading Quality Assurance activities and we will collaborate and contribute throughout the project.
The overall purpose of CIRCULAR.rur will be to promote the transfer of innovative CE knowledge and the development of new CE-based business models that respond to the expectations of national and European labor markets and provide new opportunities for activation to face current challenges, fostering more modern and sustainable rural environments, through the intelligent support of rural development professionals to future entrepreneurs in rural Europe.
Atlantis will be responsible for digital development activities, and we will contribute to the implementation of the project.