Medical Devices Computational modeling and analysis is giving biomedical engineers a competitive advantage by reducing risk, lowering costs, and accelerating innovation Get Intouch

Medical Devices

Computational modeling and analysis is giving biomedical engineers a competitive advantage by reducing risk, lowering costs, and accelerating innovation.

Improving product reliability and time to market in the medical device industry

Simulation methods for reducing risk and accelerating innovation

rezo-customer

Zero in on Customer Behavior

In human-robot collaboration, human and machine work hand in hand. The human operator controls and monitors production, the robots perform the physically strenuous work. Both contribute their specific capabilities. Human-robot collaboration In human-robot collaboration, the robot assists the human operator. This means: The machine does not replace the human, but complements his capabilities and relieves […]

human-robot

Designing human-robot collaborations

We are experiencing an increase in human-robot interactions and the use of collaborative robots (cobots) in industrial work systems. To make full use of cobots, it is essential to understand emerging challenges and opportunities. In this paper, we analyse three successful industrial case studies of cobots’ implementation. We highlight the top three challenges and opportunities, from the empirical evidence, relate them to current available literature on the topic, and use them to identify key design factor to consider when designing industrial work system with human-robot collaborations.

AdobeStock1

AI In Prepare For The 4th Industrial Revolution

Kroger, one of America’s largest grocery chains, has decided to embrace technology to help it survive and thrive in the 4th industrial revolution. With 2,782 grocery stores under nearly two dozen names in 35 states, Kroger plans to leverage its data, shopper insights and scale to help it remain a leader in the marketplace of the future. According to a study by the Food Marketing Institute, online grocery is expected to account for 20% of all grocery retail by 2022 and reach $100 billion in consumer sales, so Kroger and its competitors are smart to figure out ways to use technology to their advantage.

By optimizing design, medical device corporations can reduce
time to market and increase product reliability while meeting
budgetary and regulatory requirements.
MSC Software enables the successful adoption of virtual test and simulation methods for medical device manufacturers. Rather than rely on point analysis tools, engineers can now explore a full range of complex simulations when designing medical applications. MSC solutions offer a suite of integrated productivity tools and techniques for managing the entire simulation process while establishing best practices and standards for virtual testing across the enterprise.

Medical device manufacturers face significant regulatory, operational, and business challenges in creating and delivering products to the marketplace. Two business drivers are changing traditional product development: 1. Reduced tolerance among shareholders for product recalls 2. The need to reduce time to market and stay ahead of the competition At the same time, compliance with governmental regulation increases costs and introduces delays. Product development managers and quality assurance personnel must therefore answer the following key questions: 1. How can we optimize the design within a reasonable timeframe? 2. How can we improve product development while still following regulatory processes that maintain safety and reliability? By relying more and more on computational modeling & simulation, medical device manufacturers can achieve rapid verification with virtual models while reducing reliance on the slow, costly process of physical testing. MSC Software provides simulation solutions and best practices for accelerating the process of concept design, performance validation, and regulatory approval across the medical device industry. The Limitations of Physical Testing Adequate physical testing of new medical products is a lengthy and expensive process. At best, it may provide data on failure limits, but does not allow engineers to understand the reasons for each failure. At worst, it can be inconsistent, cost-prohibitive, and incapable of providing any meaningful insight into the interaction between biomedical devices and the human body. Some manufacturers continue to spend millions of dollars on test equipment and thousands of hours on product testing. However, as more and more product development managers embrace the importance of accelerating development and tracing design decisions, simulation has emerged as an ideal means to achieve major improvements in design processes.
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