As we reach the end of the year, we can unequivocally say that it’s been an exciting one! We’ve seen widespread adoption of cloud computing as well as major advances in game-changing technologies like the Industrial Internet of Things and digital twins. The growing interest in these topics was reflected in the articles that gained the most attention on our blog.
Without further ado, here they are — our top 5 most-read engineering articles of 2017.
In this article, Aucotec application consulting engineer Ryan Nabozniak discusses a challenge many engineers face every day: how to balance safety and cost. He uses a personal story, along with the Exxon Valdez and Deepwater Horizon disasters, to illustrate the problem, and he proposes a way to change the rules of the game so that both safety and cost objectives can always be met.
In the past, engineering departments were siloed. Each team would work on their own part of the project and then hand their work off to the next team, and so on down the line. This was a slow process and mistakes were common. Today, new software enables engineers to work concurrently and collaboratively, which boosts productivity while also reducing cost and increasing quality.
Digital twins — i.e., virtual representations of physical things — are one of the hottest new technologies in industry today. While the concept isn’t new, digital twins only recently became feasible for use in a variety of applications, thanks to the Internet of Things. This article kicks off a series on the uses and benefits of digital twin technology.
Engineering Base is a unique software platform. It brings multidisciplinary engineering teams — and their data — together into one single source of truth. Every company that has adopted the platform has specific objectives they want to accomplish, like saving time and money on engineering design projects, reducing errors and rework, and consolidating their toolsets. Hear directly from them why they chose, and continue to choose, Engineering Base.
We talk with engineers every day about their work and what we can do to make their job easier. Certain problems come up in almost every conversation, like inconsistent versioning and documentation practices, software systems that don’t talk to each other, and a lack of communication among teams. While these problems may seem overwhelming, using a common data model can go a long way toward solving all of them at the same time.
And that’s a wrap. Thank you for reading our blog this year. We look forward to engaging in many more conversations with you in 2018!