For the global healthcare systems, the COVID pandemic was a major inflection point which shook the system to its core. It brought out an obvious weakness: the need to drastically transform and update current practices, procedures and equipment used to provide patient care. GE Healthcare published a report in June 2021 on the impact of … Continued
Most MES vendors offer off-the-shelf solutions and industry-specific functional coverage. Market guide put out by Gartner explores third party implementation providers for MES platforms and what companies need to look for in their implementation partner.
Medical device manufacturers face a unique set of challenges where data and its management are concerned from an Industry 4.0 perspective.
As with any global catastrophe, the pandemic forced sudden and abrupt change, which tested the mettle and resilience of every single business in the world. Manufacturing was no exception.
While some industries, such as non-essential goods, were brought to a complete halt, other industries supplying goods to battle the disease (the Pharmaceutical, Clinical Diagnostic and Medical Device sectors), were expected to scale rapidly to meet the global demand for their products.
What in the world does the IKEA effect have to do with software, and more specifically with MES? A truly modern MES application should, by virtue of its design, have the IKEA effect built in and as a part of its standard outlay.
There is a lot of talk about the technology behind Industry 4.0 and digitalization, but this is not the most important consideration – people are. Afterall, it is people that make technology happen, that change how we manufacture, and, ultimately, the needs of whom the whole manufacturing process is designed to fulfill.
This may sound a totally impractical suggestion, but we need to ask the question: ‘Why not?’ Traditionally, factory operating systems or manufacturing executions systems (MES) have used bespoke interfaces, but the world, and technology, has moved on.
How to start an Industry 4.0 project? It seems rather direct—start small, prove the concept, and then scale. The problem is more than two-thirds of these projects fail. Why—because there wasn’t an overarching strategy set for the transformation.