The pharmaceutical industry is undergoing a significant digital transformation process wherein not only does it require refrigeration, but this process must also be as energy-efficient as possible, while simultaneously environmentally friendly. This demand stems both from consumer preferences and regulatory requirements.
The new refrigeration strategy necessitates the implementation of a real-time data measurement and analysis system. This system enables cost optimization through continuous improvement actions facilitated by the development of predictive and optimization systems, utilizing the execution of self-executing intelligent actions. This shift allows for departure from the traditional refrigeration model, characterized by a lack of data and 100% field maintenance, towards a refrigeration model where 70% of actions are self-executing, with efficient energy management.
