Research & Development

ATLANTIS Engineering has been investing steadily for fifteen years in research aiming at the exploitation of new technological capabilities and product development.

ai r&d manufacturing

Technologies

Predictive Maintenance Platform and Services

Key enablers: AI/ML algorithms, Big Data handling, Cloud Computing

Predictive-Maintenance-Platform-and-Services

Decision Support System

Key enablers: Rule-based engine, Machine Learning, Risk Assessments, Cost Assessments, Notifications

Failure-Mode,-Effects-ans-Criticality-Analysis

Failure Mode, Effects and Criticality Analysis

Key enablers:  AI/ML algorithms, Big Data handling, Cloud Computing

Zero-Defect-Manufacturing

Zero Defect Manufacturing

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Predictive Maintenance

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Circular and Sustainable Economy

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Education and Training

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Bodies

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QU4LITY

JAN.2019-JULY.2022

Project short description

Competitive share data-driven products for ZDM (Zero Defect Manufacturing) strategies, Industry 4.0 technologies, validated results in 14 pilots.

Our Role:

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.

Q-CONPASS

DEC. 2019-MARCH.2023

Project short description

Innovative solution for Quality Control processes, Health and Safety goals, self-navigated robotic vehicles paired with monitoring systems.

Our Role:

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.

SATISFACTORY

JAN.2015-DEC.2017

Project short description

Transformation of traditional industrial environments using collaborative and augmented-enabled ecosystem for increasing satisfaction and working experience, in smart factory environment.

Our Role:

ATLANTIS ENGINEERING SA is responsible for developing a Decision Support functionality for filtering out false-alarms triggered from the SatisFactory incident recognition engine with the aim to reduce FAR (false-alarm-rate) using automatic incident verification. The tool will provide some incident response strategies, with focus on incidents related to machine defects and breakdowns, and to degrading of production performance through corroborating detection sources. Finnaly, the aim will be to monitor, in real-time, the evolving production processes, diagnose problems, flaws and malfunctions and re-adapt accordingly the production facilities.

iQonic

iQonic

OCT. 2018-SEPT.2022

Project short description:

Innovative strategies, process Chains optimization for increased Quality, re-configurability, and recyclability of Manufacturing Optoelectronics

Our Role:

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.

FLAWLESS

JUN. 2019-DEC.2023

Project short description

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.

Our Role:

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.

COMPOSITION

SEP.2016-AUG.2019

Project short description

Digital automation framework that optimizes the manufacturing processes by
exploiting existing data, knowledge and tools to increase productivity and dynamically adapt to changing
market requirements.

Our Role:

ATLANTIS’s role is two-fold. On one hand they are end-user in the supply-chain centric use
case offering their services and products through the COMPOSITION platform. On the other hand, they
act as technology and service provider in the value chain of a use case, offering the Decision Support
component of the Integrated Information Management System (IIMS) as a Software-as-a-Service in. The
DSS will be developed where the data from different stakeholders, sensors, IoT, MES and CMMS will be
combined, so that the interested party will be able to make an informed decision. Finally, ATLANTIS
leads the Communication, Dissemination and Exploitation activities.

i-EAT

SEPT.2020-SEPT.2023

Project short description

Controlling agro-food product condition in the supply chain, monitoring transportation and distribution processes with smart sensors.

Co-funded by EU

Our Role:

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.

Z-BRE4K

OCT. 2017-MAR.2020

Project short description

Strategies and Predictive Maintenance models wrapped around physical systems for Zero-unexpected-Breakdowns and increased operating life of Factories.

Our Role:

ATLANTIS had several roles in this project: Technical Management of the project, Leader of Integration, Validation and Evaluation methodologies as well as Technical and Business Risk Management. Also, ATLANTIS is in charge for design and the architecture of all Z-Bre4k components. Furthermore, the SME is the Technology Provider responsible for models for predicting machinery failures based on deterioration detection i.e., Predictive Maintenance (PdM) system, the Decision Support System (DSS) development designed to facilitate the adoption of risk-based thinking as well as Failure mode, effects and criticality (FMECA) automated module that shows ways a machinery system could potentially fail.

AI4EU

JUN.2021-DEC.2021

Project short description

AI-powered solution for product quality management, is delivering a solution for estimating product quality using ensemble of deep learning techniques enhanced with causality features. This project is Support Program of the European AI On Demand Platform and Ecosystem.

Our Role:

ATLANTIS proposed a technical approach using the Remaining Useful Lifetime (RUL) to estimate the predicted time till the occurrence of specific failures modes. In addition, powered root cause analysis will be applied to provide causal inferences and analysis of failures. It will be designed responding not only to “what failure” and “how it occurred” questions, but also to the “why it occurred” question, e.g., due to a mechanical error. Responding to the “why” of a failure, allows the most effective implementation of predictive measures (e.g., improve design of process issues) and therefore the optimal and targeted actions towards improved production quality and reliability.

PREDICT

SEP. 2018 – MAY 2021

Project short description

Prediction and detection models in combination with sensors for predictive maintenance, Improved risk management and increased useful machine life, optimization of manufacturing

Our Role:

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.

Boost 4.0

JAN. 2018-DEC.2020

Project short description

Big Data Value Spaces for Competitiveness of European Connected Smart Factories 4.0 to retain manufacturing competitiveness.

Our Role:

ATLANTIS is responsible for smart maintenance and services project domain development of the project architecture as well as design and development of the elements related to detection/prediction of assets’ failures, trends analysis and forecasting. Also, the SME collaborated with smart maintenance and service pilots of the project developing services and apps: smart maintenance strategies, risk assessment methods, machine-learning based automatic recommendations, smart maintenance Decision Support System (DSS), synchronization and co-scheduling of maintenance with production activities.

XAI-FS

SEPT. 2021 – AUG. 2022

Project short description

This sub-project of EFPF, designs the explainable AI-based solution and combines prediction and detection maintenance models within an intelligent fusion engine enhancing the trust of the user to the solution.

Our Role:

ATLANTIS ENGINEERING aims at designing and implementing a solution that combines detection and prediction maintenance models within an intelligent fusion engine in order to i) achieve fault prediction/detection and ii) improve the understandability on AI-based predictive maintenance solutions. Cornerstone of the solution is its inherited capacity to provide explainable AI capabilities so that the user understands and controls the process through an interactive interface. Furthermore, we are responsible for raising awareness about the XAI-FS project and pave the way towards exploitation.

Wel-COM

NOV. 2009 – SEP. 2013

Project short description

The project develops and deploys a complete set of on site and remote hardware infrastructure accompanied by software tools enabling the maintenance system designer and instrumentation technicians to efficiently schedule and implement the predictive maintenance program.

Our Role:

ATLANTIS ENGINEERING defined the requirements and specifications for every level of functionality delivered by the Wel-COM system. Also, their aim was to create a maintenance data model of operational condition from historical condition sensed data, able to map in detail all the proper attributes of machine behavior and equipment condition state. A software system developed to supply maintenance advice, is packaged as a set of web services that exports processed knowledge from the sensor based Knowledge Model Assess. It assures the systems interoperability that is addressed at Sensor network and Data collection server levels. Finally, the company collaborated closely with end users and deployed the solution within their premises. 

PRECognition

OCT.2021 – OCT.2023

Project short description

Machine Learning, prediction and detection, predictive maintenance, maintenance manager sub-system, Prediction and Detection sub-system, Alarm and feedback sub-system.

Our Role:

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.

PLATOON

NOV.2021-APR.2024

Project short description

The open call of PLATOON, the Predictive Maintenance for Performance Optimization of Energy Assets, aims to provide providing an AI-enabled modular and agile cross-pilot solution for the predictive maintenance.

Our Role:

ATLANTIS ENGINEERING S.A. develops a modular cross-pilot solution providing actionable insights for AI-enabled Predictive Maintenance (PdM) of energy assets. Advanced AI data driven models will predict failures, generate timely alerts of potentially critical situations and estimate the remaining useful life (RUL) of an asset. Key innovation points: i) Agility aspect, ii) real-time Big Data processing, iii) combination of anomaly detection results with data extracted from CMMS logs to improve quality on datasets for algorithms’ training and accuracy. The benefits include performance optimization, controlling repair costs, reducing unplanned downtime and achieving energy savings.

RE4DY

JUN. 2022-MAY.2025

Project short description

Manufacturing of a digital value chain, Digital Twins, ensuring of circularity, autonomy, and interoperability of data amongst European Industries, long-term agility, and competitiveness

Our Role:

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.

LEVEL UP

OCT. 2019 – OCT. 2023

Project short description

Innovative Protocols and Strategies for extending the useful life, holistic operational and refurbishment framework

Our Role:

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.

DIGIPRIME

JAN.2019-DEC.2023

Project short description

Creation of co-federated digital platform for Circular Economy processes, supply chain shared information, applicable strategies for post-use products.

Our Role:

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.

Hi-Gien

APR. 2022-DEC.2022

Project short description

Smart and Autonomous robotic solution, successfully disinfection of crowded workplaces, selection, and prioritization of highly used areas.

Our Role:

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

JAN. 2020 – OCT. 2023

Project short description

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.

Our Role:

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

NOV.2021-APR.2024

Project short description

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.

Our Role:

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.

SmartAInnovators

JAN. 2022 – JUN. 2024

Project short description

AI-driven digital transformation, VET schools, Artificial Intelligence, Prevention and dealing with game addiction, Coding and Video Game development

Our Role:

Development a part of the real-life scenarios and providing information on the EU and National Guides on Artificial Intelligence. Contributing throughout the project.

FAME

OCT. 2018 - SEP. 2020

Project short description

Within the project FAME (Fostering the adoption of ICT-enabled Advanced Manufacturing Technologies (AMT) by European SMEs), the project develops an innovative training framework comprising a modular training course along with online and conventional training materials to help SMEs adopt advanced manufacturing techniques.  Also, the project delivers an open, all-inclusive training program for instructor led training, remote e-Learning and knowledge retention and delivery tools.

Our Role:

Quality Assurance activities, collaboration, and contribution throughout the project.

FOSS4SMEs

OCT. 2017 - SEP. 2019

Project short description

Building digital competency in small and medium-sized businesses with Free and Open-Source Software. The aim is the development of a free online educational resource for managers and staff of European SMEs to equip them with the skills and competences to properly use Free and Open-Source Software and improve their digital performances and competitiveness.

Our Role:

Development of the project web site and e-learning platform, collaboration, and contribution throughout the project.

Regio.Digi.Hub

JAN. 2022 - DEC. 2023

Project short description

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.

Our Role:

We will be leading Quality Assurance activities and we will contribute to the implementation of the project.

DGI Tourism

FEB. 2022 - FEB. 2024

Project short description

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.

Our Role:

Atlantis will be leading Quality Assurance Activities and will be responsible for the development for the Lean Methodological Framework and the Training Course Delivery.

AMT2P

FEB. 2022 – FEB. 2024

Project short description

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).

Our Role:

We will be leading Quality Assurance activities and we will collaborate and contribute throughout the project.

Circular.rur

NOV. 2021 - OCT. 2023

Project short description

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.

Our Role:

Atlantis will be responsible for digital development activities, and we will contribute to the implementation of the project.

ASD-IncluDi

FEB. 2022 – JAN. 2024

Project short description

The ASD-IncluDi project aims to enhance the teaching and training techniques currently used in special needs education systems, by using specifically developed ICT and IoT tools. The ASD-IncluDi main outcome is the accessibility and inclusion of the students with Autism Spectrum Disorder (ASD) in distance learning (DL) form of education. The project results are tangible and intangible in awareness raising, knowledge sharing, and experience gaining.

Our Role:

Development of a lightweight semantic map to better formulate the training content, support the quality assurance activities.

NOV. 2022 – OCT. 2024

Project short description

[email protected] wants to provide an INNOVATIVE CROSS-CURRICULAR MODEL based on GAME BASE LEARNING SOLUTION targeting students from 12 to 18 years, which will enable students to learn by doing creating inclusive community cooperative enterprises.

Our Role:

Our role is to provide support in WP2 focusing on the design and implementation of [email protected] learning material and in WP3 focusing on the design and implementation of a [email protected] community cooperative learning game.

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