Gartner has predicted that 20.8 billion connected devices will come online by 2020, showing just how much the Internet of Things (IoT) is already changing the way we live. But its potential impact on the way businesses deliver support services is an area that deserves particular focus.
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A survey by Tech-Clarity revealed that 30% of service leaders believe their technical documentation contains inaccuracies.
With dozens of engineering change orders (ECOs) submitted throughout an asset’s lifecycle, the thought of outdated parts information is a sobering one.
One of the hottest topics in the world of product design and manufacturing is model-based definition. Otherwise known as ‘MBD’, it saves engineers time and prevents manual error. It’s particularly useful in additive manufacturing, and thanks to advancements in software tools such as Creo 4.0, MBD is now far easier to add to an engineer’s toolkit.
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.
Creo 4.0 has been a reality for all our customers in December 2016.
