White Paper — Sponsored Content

Preventive & Predictive Digital Maintenance in Pharma 4.0TM

Preventive & Predictive Digital Maintenance in Pharma 4.0TM

A Journey from Data to Actionable Insights

This article outlines the journey of understanding data and its exploitation in the field of preventive and predictive maintenance. Based on a non-intrusive approach implemented in a new digital platform, the authors offer an analysis on how to adapt and improve existing preventive maintenance strategies in manufacturing facilities without incurring an instrumentation deluge and a reformulation of existing processes by using data analysis.

Developed by Telstar, Insights is used to illustrate a model of digital platform that responds to the challenge of how the data generated by the operations of a production line allows to improve the availability of assets. Data collection, processing, and comparison with assets of the same type in similar production situations using analytical and big data tools through a multi-tenant Internet of Things (IoT) platform, provides the ability to generate and, at the same time, manage comparative indicators that allows the industry to improve OEE (Overall Equipment Effectiveness) and move towards predictive maintenance.

Jordi Serrat

Jordi Serrat, Product & Technology Director at Telstar, holds an electrical engineering qualification from Terrassa School of Industrial, Aeronautical and Audiovisual Engineering (ESEIAAT) at Polytechnic University of Catalonia (UPC). He also has a master’s degree in Functional Areas Management from the Chamber of Commerce and Industry of Terrassa, and a master’s degree in Project Management for directors from IESE Business School. In his current position, he manages R&D and industrialization of new developments, focusing on new digital technologies to develop added value services associated to the Telstar portfolio. Previously, he has held the position of Technology Manager, both in Engineering and R&D Management at Telstar; General Manager of the joint venture IMA-TELSTAR SL for Freeze Drying Equipment for the Pharmaceutical Industry, and Head of Engineering and Manufacturing of Special Projects in Telstar Industrial SL.

Joan Piedrafita

Joan Piedrafita, Digital Development Project Manager at Telstar, holds a Computer Science Engineering qualification from the Autonomous University of Catalonia (UAB). He also has a European master’s degree in Computational Science and Engineering from UAB and combines this with his Telstar membership in an Official Research Group, HPCA4SE. Joan has experience in development of e-mobility, IoT, and smart and advanced manufacturing projects as well as his specialism in integration of information technologies in the industry sector. In 2019, Joan joined Azbil Telstar Technologies SLU as an Industrial IT Architect participating in a wide variety of projects related to life science industry digitalization, from robotized lines to smart platforms related to architecture, software security and quality.

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