In the recently concluded roundtable “Maintenance 4.0: The role of Transitioning Pharma”, leaders, Delivery heads discussed around different phases of maintenance and its evaluation of maintenance starting from Reactive way of doing maintenance to modern day approach utilizing advance technologies like Artificial Intelligence and Machine Learning for Predictive Maintenance and how Predictive Maintenance can help Life Science and Pharma Industry, How mobility can be used to increase the data accuracy, reduce downtime while ensuring the following CSV/CSA Validation.
In round table discussion, industry leaders touched upon some interesting topics-
- There have been four stages of industrial revolution and we are currently in the age of Industry 4.0, that is the 4th industrial revolution driven by the internet and related technology. Given the technologies being developed in this era, the next 20 years will see more changes than the previous 300 years. What does industry 4.0 mean to asset or maintenance management for your organization?
- Although a number of industry segments have already moved along with the trend of industry 4.0, some of the asset-intensive industries in manufacturing such as energy, pharmaceuticals, life sciences etc., haven't yet adapted to the same to address the operations with the same commitment to digital as they've brought to enterprise functions. In fact, most businesses in manufacturing have still not defined a plan for the transformation of operations. Are there any Industry 4.0 initiatives started in your organization, or are you planning in future?
- How important do you think is it for your organization, which is more stringently regulated and critically subjected to multiple product quality and safety compliances being in pharma/life sciences industry along with a requirement of a foolproof documentation and delivery mechanism, to digitize their asset management and maintenance activities?
- Information is crucial to any maintenance manager's decision-making process. This decision making is key to ensuring a higher yield to the shop floor and for that, the data needs to be passed quickly from the entry point (whether by going mobile or capturing data from IOT enabled sensors) to the decision-making level, quickly. This is important not only for day-to-day planning, but also for management reporting including compliance with relevant quality audit requirements, regulations, and safety standards. Help us learn as to how and what steps have you adapted to take care of these requirements?
The moment we think of exports, the most priority requirement is to have a global regulatory compliant (FDA, MCH, TGA or CHMA) manufacturing facility. What do you think of using a purpose-built EAM system which can be validated independent of an ERP system that can help to achieve the compliance level at the manufacturing process?
The asset world is evolving. To keep it going, global drug majors are looking at India as an alternative to China for manufacturing and to seize this opportunity, many Indian pharma companies are evaluating the idea of backward integration as well as expansion of their own manufacturing capacities. Gathered as the 3rd edition of Maintenance 4.0, the virtual conference saw an open expert discussion with some of the top players in Maximo.
Author:
Prashant
Sharma
Delivery Head - IBM Maximo & EAM360 Mobile App
