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There are several reasons why MES needs Implementation Providers. These are companies focused on providing services, with a MES practice developed over many years, often with a strong MES-specific project methodology in place, and having the success of the project as the main objective.
Dark data has no immediate value and does not translate into useful information, even when orchestrated and organized. Yet you should store it. This post explains why and how
Industry 4.0 and automation & robotics have grown in importance in today’s manufacturing landscape. What role do these technologies have in improving process efficiency and capacity? Chris Parsons, Critical Manufacturing, explains how manufacturing execution systems (MES) can improve process capacity.
Contrary to what happened in the previous industrial revolutions, manufacturing has lagged in implementing the base technologies underlying the transformation. Why has it been so conservative and slow to adopt big data?
Innovative medical device companies are embracing the Industry 4.0 paradigm for smart manufacturing to support outcome based models. They recognize that they cannot manufacture and market next generation, disruptive and personalized products with last generation processes and legacy systems.
Recognize a paradigm shift in technology that affects your line of business and re-organize to take advantage of it, in spite of the short term pain. It is worth the risk to be the first mover, to gain an advantage over the competition and wow the customer.
It’s not unusual to have concerns about progress to plan when the majority of resources will be working remotely. That’s why we’ve decided to share our practices and experience in these trying times.
A highly automated factory is also inherently more resilient. In times of crisis, such as with the Coronavirus COVID-19 epidemic that the world is experiencing today, a highly automated factory is far more likely to continue manufacturing operations than a factory with low automation.
IT and OT each manage different aspects of a plant’s functioning. Equipment data is the domain of OT, and it becomes far more valuable when it goes into an IT environment for context and analysis. Only with IT and OT working in harmony can a plant achieve optimal performance.
