Webinar #1 PdM Platforms & Microservices
for Manufacturing Operations
The ForeSee Cluster webinar #1 highlights the main aspects of Predictive Maintenance Platforms and Microservices for Manufacturing Operations. It presents also the use case applications on white goods and machine tool of SERENA, UPTIME and PRECOM projects.
Diego Bartolomé, CRIT
16:10 Platforms and Microservices for manufacturing operations
Dr. Sotiris Makris & Dr. Kosmas Alexopoulos, Laboratory for Manufacturing Systems & Automation (LMS), University of Patras
16:40 Whirlpool use case
Pierluigi Petrali, Whirlpool Corporation
17:00 Danobat/Spinea use case
Anne Sanz, IDEKO
17:20 Q&A and round table
17:30 Event closure
Full Recorded Webinar
Platforms and Microservices for manufacturing operations
Whirlpool Use Case
Danobat / Spinea Use Case
The keynote speech on “Predictive Maintenance Platforms and Microservices for Manufacturing Operations” is delivered by Dr. Sotiris Makris and Dr. Kosmas Alexopoulos from the Laboratory for Manufacturing Systems & Automation (LMS), University of Patras, Greece, which is partner of the SERENA project.
The introduction of Industrial Internet of Things (IIoT) platforms in manufacturing is a key aspect in the context of Industry4.0 as it enables smart manufacturing implementations based on smart data from the factory floor. At the same time, Predictive Maintenance (PdM) is gaining significant attention as an important Industry4.0 enabler that contributes to the Overall Equipment Efficiency and profitability.
In this presentation, Dr. Makris and Dr. Alexopoulos discuss the main characteristics of software architecture and the key components that state-of-the-art industrial platforms have for supporting PdM operations in the manufacturing industry. Platform hierarchical layers, micro-services, data communication and processing solutions are discussed, among others.
The Whirlpool use case is presented by Pierluigi Petrali, Manufacturing R&D manager at the Whirlpool Corporation, global manufacturer and marketer of major home appliances.
Whirlpool is end-user partner in both SERENA and UPTIME projects providing two use cases, one based at a Refrigeration factory in Italy and the second at a Clothes Drier factory in Poland.
Whirlpool presentation focuses mostly on SERENA project, showing the typical phases of a Predictive Maintenance project and highlighting the architectural aspect of the technical solution, demonstrating how a combination of open source component deployable on Edge or on Cloud can satisfy the need of a Predictive Maintenance. Pierluigi presents also the UPTIME project, whose architecture has been developed according to a more modularity oriented philosophy.
Danobat/Spinea use case is presented by Anne Sanz Arrizabalaga from IK4-IDEKO an industry-driven Spanish Technological Centre.
IDEKO is a partner of the PreCoM project aiming at bringing predictive cognitive maintenance solutions to the manufacturing industry increasing machinery in-service efficiency.
Anne Sanz focuses on one of the three use cases defined in PreCoM, covering discrete high volume manufacturing with SPINEA as an end-user and DANOBAT-OVERBECK as a machine tool manufacturer. Her presentation explains the challenges of implementing a Predictive Cognitive Decision Support system in SPINEA and describes briefly every step of the implementation process: (1) sensorizing and connecting the machine, (2) deploying the hardware/software modules in order to provide a valid recommendation to the end through an innovative user interface.
Dr. Sotiris Makris has a Diploma in Mechanical Engineering and Aeronautics from the University of Patras, Greece and a PhD in Engineering of the Department of Mechanical Engineering and Aeronautics, University of Patras. He worked as a Senior Researcher for the Laboratory for Manufacturing Systems and Automation on topics focused on the field of Robots, Automation and Virtual reality in Manufacturing. He is an Associate Member of the CIRP and a member of the IEEE.
Dr. Kosmas Alexopoulos has graduated from the Computer Engineering and Informatics Department of University of Patras – Greece in September 1999. He has received a M.Sc. in Information Technology (2001) and Ph.D. in Engineering (2006) from the University of Patras, Greece. His research area and expertise are in the fields of IT platforms for manufacturing, smart and digital factory, VR, IoT, cyber-physical-systems, industrial product service systems, others. He works as a Research Engineer at the Laboratory for Manufacturing Systems and Automation (LMS) of the University of Patras.
Pierluigi Petrali is the Manufacturing R&D manager at Whirlpool Corporation. The Research Division has acquired over the years expertise in numerous areas such as manufacturing, materials, mechanical design, thermodynamics, energy transmission, energy efficiency, etc. that enable the company to undertake significant and challenging research projects. Strategic collaborations with several universities and research centers from all around Europe support Whirlpool needs.
Anne SanzArrizabalaga is a researcher of the ICT and Automation department in IDEKO. IDEKO is a research centre specialised in industrial production and manufacturing technologies, with the aim to promote technological innovation of its customers. IK4-IDEKO is part of DANOBAT Group machine tool builder and Mondragon Corporation.
Oct 20, 2020, 16:00-17:30 CEST Reliability and Tools for PdM Application
In the Webinar #2, the main aspects of reliability and tools for PdM application will be presented, together with the showcase of machine tool application of Z-BRE4K, PROPHESY and PROGRAMS projects.
Nov 17, 2020, 16:00-17:30 CET How to Measure ROI of PdM Applications
In the Webinar #3, the main aspects of ROI measurements of PdM application will be presented, together with the showcase of production systems in the aviation and automative industry of UPTIME and PROPHESY projects.
Jan 28, 2021, 16:30-18:00 CET Application of Standards by Factories of the Future for Predictive Maintenance
In the Webinar #4, a set of best practices for future standardisation activities and improvements for industrial IoT and smart manufacturing is presented, including valuable visions and project-based experiences of ForeSee Cluster projcts.