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How can a MedTech manufacturer secure its position as a valued partner in the fast-changing healthcare industry? It all comes down to being reliable on many fronts.
AI has always been a topic filled with concern and curiosity when it is discussed in manufacturing. Manufacturing leadersneed to look at AI pragmatically, focusing on its potential in current operations instead of concern over an AI takeover.
By applying a graphical treatment and a uniform set of evaluation criteria, the Gartner Magic Quadrant helps you quickly ascertain how well technology providers are executing their stated visions and how well they are performing against Gartner’s market view.
The entire plant must have access to the data it needs at all times, from any area of the facility and beyond. Plus, anywhere in the enterprise might need access to accurate, timely, and in-context data from production.
Can your MES help the company achieve your CEO’s goals? Yes, you should expect it to do that. It is time to expect more from projects – including MES implementations.
The digital twin can substantially boost the ability of electronics manufacturers to better monitor their process performance and train/deploy their employees faster.
When it comes to deploying an MES across multiple manufacturing facilities, platform architecture is critical. It will impact the ease of implementation and maintenance, and the ability to continuously improve the platform’s applications to ensure the latest technologies and methodologies can be embraced and that manufacturers have greater agility.
Electronic Manufacturing value chains are reeling under uncertain market conditions that punctuate the market today and are seeking solutions to make their operations more resilient and insulated from ever emerging risks.
MedTech companies are struggling like most industries due to inflationary trends, however, the problem is further amplified for companies with a predominantly commoditized product portfolio.
