Concurrent Engineering Blog

Concept design simply refers to a phase of the design process. It’s the point within the development cycle that typically sits between the product requirements and detailed design.

As the IoT transitions from a niche concept to a practical option for product design, it is becoming increasingly popular in the business world. For companies planning to boost efficiency, innovation and ultimately revenue through the IoT, surely the only question is “when can we start?” Soon. I promise. 

The Internet of Things lifts the barrier to solving traditional problems, such as how products perform after shipping. We were so used to not having the data; we’ve created processes and ways of working that accept knowledge gap as inevitable.

In our image-conscious world, the way something looks is often as important to success as features and functions.

Manufacturers are increasingly using performance-based analysis to provide real-world data on product performance from the field. Rather than making assumptions about performance, this approach offers unbridled access to how products operate once they leave the factory. But for manufacturers who are designing and iterating the next generation of smart, connected products, they need a more advanced approach: Data-Driven Design.

In the age of Big Data, information flows from every production process.

In today’s world, multiple platforms and media need to be supported. This means that traditional based documentation is becoming more and more irrlevant.

Today, more and more job roles, both inside and outside the company, need access to specific parts of your ever-growing pool of data. These roles often require information contained in multiple systems and across different departments, to enable them to complete a task or to make more informed decisions.