Collateral Event

Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in industry end-to-end enterprise application software, database, analytics, intelligent technologies covering the entire technology stack for enabling Industry 4.0. A market leader in Asset Management systems and PLM solutions, now made even stronger through the strategic partnership with Siemens TeamCenter in the PLM domain, SAP provides the Digital Thread that ties all information together over the product lifecycle. The concept- and the efficient use of Digital Twins are key to ensuring efficient processes over the product lifecycle. This is achieved by facilitating TCO reductions, improving the product and process footprint, and increasing the level and quality of service offerings for products. The presentation will briefly summarise how the Digital Twin is used in both a product centric context, i.e. as seen from a PLM perspective, and in an Asset Management context, i.e. as seen from an Operations & Maintenance perspective, and of course how this is tied together in a closed-loop engineering perspective.

Curriculum
MSc Marine systems design,Norwegian Institute of Tech. (’93), Master of Technology Management, Norw. University of Science and Technology/MIT Sloan (‘11)
Wide industry experience from Marine and O&G industry, including ship design & operation, risk management, strategy and enterprise risk consulting, shipyard operations, marine operations, software development, software product management, etc.
With SAP since 2016, tasked with development and GTM of Digital Twins and model-based solution for lifecycle product management

Digital Twins are the basis for the next generation of EAM. The digital twin provides new level of analytical data about the condition of the asset, which provides new management, planning and service capabilities within the EAM system.

Curriculum
The head of CADFEM Digital – innovative division of CADFEM CIS
Responsible for the development of Digital Twins for industrial equipment and systems and innovative Industry 4.0 solutions

A prototype of the CastorONE Stinger Digital Twin has been built and validated using the analysis results from the Design Phase (2012) to perform user-friendly pre-, analysis and post-processing of the future developments include as follows:
- irregular wave analysis or/and vessel motion as measured in the field;
- comparison of the Digital Twin model results with field measurements;
- diagnosis of field measurements to assess the stinger structural Integrity status, maintenance and types of inspections.
The CastorONE Stinger Digital Twin can be further implemented to optimize and reduce the stinger inspection programme, to control stinger performance and excessive loads during the operational life and to guide the inspection programme.

Curriculum
Manager of the Offshore Installation and Advanced Analysis Department, E&C Offshore BU, Fano (PU), Saipem S.p.A.
Graduated in Mechanical Engineering at the Marche’s Polythecnic University, Ancona, 1986
Joined Saipem in 1987, formerly named Snamprogetti
More than 30 years experience in pipeline and riser design, offshore installation engineering and R&D studies
Author of more than 100 papers in pipeline and riser technology

LPT (Low Pressure Turbine) shaft multistage production line at GAN starts from forging, and foresees several operations which include turning the internal and outer diameter, bottle boring, milling, grinding and several surface treatments, together with multiple distributed inspection stages. Along the shaft production process defects are generated and progressively compensated with several procedures, mainly aimed on runout errors minimization and surface quality optimization. The operational complexity is further increased by the specific operators’ competencies required for the diverse process stages and the routing and tracking of parts at different stages of production. The Digital Twin builds on process and manufacturing systems models, integrated into an optimization workflow. Information on resources and part statuses are collected from the floor using operators HMIs and an IIOT stack. Planning and scheduling information is run through the digital twin in order to identify the best policies for resource allocation. KPI are computed such as order completion estimates and performance KPI. This solution aims at reducing overall production cost and time, boosting current production rates and making production targets more reliable.

Curriculum
Industry 4.0 business unit manager
Member of Technical Scientific Committee, MADE Competence Center for Industry 4.0
Project manager and PMP, PMI-ACP certified

LPT (Low Pressure Turbine) shaft multistage production line at GAN starts from forging, and foresees several operations which include turning the internal and outer diameter, bottle boring, milling, grinding and several surface treatments, together with multiple distributed inspection stages. Along the shaft production process defects are generated and progressively compensated with several procedures, mainly aimed on runout errors minimization and surface quality optimization. The operational complexity is further increased by the specific operators’ competencies required for the diverse process stages and the routing and tracking of parts at different stages of production. The Digital Twin builds on process and manufacturing systems models, integrated into an optimization workflow. Information on resources and part statuses are collected from the floor using operators HMIs and an IIOT stack. Planning and scheduling information is run through the digital twin in order to identify the best policies for resource allocation. KPI are computed such as order completion estimates and performance KPI. This solution aims at reducing overall production cost and time, boosting current production rates and making production targets more reliable.

Curriculum
Assistant Professor in Dept. of Mechanical Engineering – Technology and Production Systems at Politecnico di Milano
Research Affiliate of CIRP (International Academy of Production Engineering) and Member of AITEM (Italian Association of Manufacturing)

Tunnelling = 60% of BYTP activity, 400km built. Ground freezing is most power technique in difficult grounds but requires much attention and care because ephemera, sensitive and dangerous when not controlled. Simulation helps anticipate what is necessary to develop (drilling, piping, refrigeration), time & cost. Simulation helps analyse real behaviour and understand differences with instrumentation & monitoring.

Curriculum
Engineer ESTP (Fr) + UCD (USA)
36 years with Bouygues TP
Design + Technical + Expert + R&D
2 areas of excellence: railways and ground freezing

The PACMAN project is related to the construction of a greenhouse which aim is to measure the level of oxygen /carbone dioxide production/consumption from different crops: these values are crucial to characterize future space missions. The presentation point out how to use a virtual model to characterize and develop the control loop system that is finally applied to the real greenhouse.

Curriculum
CFD engineer and Project manager in EnginSoft
Employed in EnginSoft since 2011
Master degree in Mathematical Engineering
Experience with participation and interaction in an international environment during research projects for ESA (European Space Agency).

An early commitment to capture electronic network data has placed the water industry in an enviable position for the new digital age. ICMLive is already alerting water companies to potential floods before a weather front reaches a catchment. This gives time for operators to take remedial action. However, what action should they take? Is there time to find a suitable answer? By using an AI-driven approach, solutions can be learnt from live data and provided back to the operator in real time. The presentation will demonstrate how this new approach responds to events triggered by ICMLive with remedial action.

Curriculum
Technical Manager for EnginSoft UK specialising in advance optimisation and modelling techniques
Process Integration and Design Optimisation Expert delivering training and mentoring;
Supporting clients with democratisation, productivity and design and developement with optimisation and process integration
Consulted for European OEMs and Tier 1’s such as Magna Steyr, Jaguar Land Rover and various UK Water Companies

Curriculum
High Value Proposition team Manager for a sustainable Strategic growth, in partnership with Top Edge technology Customers:
- Simulation Powered Digital Twin
- Multidisciplinary projects
- Digital Transformation Roadmap Assessment

Curriculum
High Value Proposition Solution Consultant and project manager
Development of Engineering Maturity Assessments based on Customer needs:
- 360° analysis and mapping of the maturity of the client’s design processes and their CAE technologies;
- detailed technical feasibility analysis for Digital Twin, digitalization and multidisciplinary projects;
- nalysis service enabling the introduction of simulation and collaboration platforms based on process integration technologies.