Data-driven systems/decisions: technological conference (III)

Technological Conference (III): Exploitation of machine-process data (I)

This conference aims to boost the adoption of data-driven decision making systems, given the growing demand for profiles that can analyse data in large volumes, from diverse sources, at high speed and with unprecedented flexibility. All this is a differentiating factor that has an impact on the performance and competitiveness of companies.

FLEXMAN Methodology - 4 complementary sessions

Under the Flexmanmethodology based on experiential learning and the training-action model, this programme will present concepts, use cases, interactive workshop facilitation and group work to identify future projects and applications to boost the adoptionof digital technologies and solutions.

Through the 4 complementary sessions, given by experts in the different fields, the following topics will be addressed:

1. Data Visualisation Tools for Business Intelligence (4th October)
2. IoT architectures for industry. Preparing for Scalability (10th October)
3. Exploitation of machine-process data (I) (18th October)
4. Exploitation of machine-process data (II) (19th October) 

Aimed at:

• People in the organisation who play a key role in the promotion and application of technological innovation in processes, products and/or services.
• People with different functions: management, specialists with operational functions, coordination, manufacturing technicians, technical office, among others.

More Information

• The conference is free of charge.
• The sessions will all be in person at TECNALIA's headquarters (Astondo Bidea, Edificio 700, DERIO - BIZKAIA)
• It is recommended to attend all four sessions although it is possible to attend them independently.
• Registration (registration form) must be completed for each of the sessions.
• Participation of 2 people from the same organisation is recommended.
• Upon completion of the programme, participants will receive a Certificate of Attendance.

Session III - Exploitation of machine-process data (I)

Objectives

• Relate industrial and plant data to the decisions to be made.
• Recognise the data needed to support maintenance decisions.
• Understand and identify the data required for your machines as a whole.

Contents

• Multidisciplinary indicators: economic, productive and sustainable machine and process oriented.
• Norms and standards for the calculation of indicators.
• What kind of decisions can be made using the indicators?