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"Stoller, Jacob"
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AUTOMATION IN A RAPIDLY CHANGING WORLD
According to research by MIT's Industrial Performance Center, productivity gains from automation have been often cancelled out by high changeover costs and other expenses required to adjust to changing circumstances. [...]a 3D motion analysis determines how the robot will move the part. \"The aspiration is that we can do intelligent data collection,\" said Fernandez, \"and that can be a feed into the beginning of the system so that it changes things, perhaps to a very small degree, to increase the quality at the end of the line.\"
Trade Publication Article
The data quality mindset
[...]recently, anything to do with data fell within the boundaries of IT. [...]there's the human element, a widespread lack of standardized data collection criteria and practices across the industry and, of course, the age-old problem of manual data capture. [...]solving the data quality problem is a major organizational challenge.
Trade Publication Article
The practical value of VDC models
3D virtual model software, which became widely available in the 1980s, has become the industry standard for design professionals. [...]telephones, fax machines, email and social media only reached their potential after adoption had hit a certain critical mass. VDC also requires stronger computing power than a standard work laptop.
Trade Publication Article
Can software make sites safer?
When EllisDon's HSE group polled their operations teams, they found that reducing safety-related administrative work was a key priority. \"When you give workers instant access to all these safety regulations and safe work practices, that makes it much more efficient for everybody,\" says Brandon Milner, CIO and senior vice-president, Digital and Data Engineering, at EllisDon. [...]he notes, construction unions don't allow cell phones.
Trade Publication Article
The real world of augmented reality
Stoller discusses the evolving landscape of Augmented Reality (AR) in the construction industry. Early hype around futuristic AR headsets is giving way to more practical applications using readily available devices like smartphones and tablets. This shift is driven by factors like the high cost and limited adoption of advanced headsets, as well as safety concerns. Current AR applications in construction primarily focus on improving quality assurance and verification. Workers can use handheld devices to compare the actual site conditions with the digital design models, identify discrepancies, and report issues directly. Handheld devices offer a safer and more practical solution than headsets, as they don't obstruct the user's field of vision and are more intuitive to use.
Trade Publication Article
Software strategies: Customization vs Standardization
[...]business processes differ widely according to location and job type. [...]theres always an evaluation of the cost of change - how long does it take people to learn and understand a new platform? Weve made suggestions they werent necessarily okay with, so we build our suggestion in a test environment, build what they wanted in their environment, and then show them the differences.
Trade Publication Article
SCIENTIFIC APPROACH TO SUCCESSFUL AUTOMATION
Stoller discusses scientific approach to successful automation. Robotics came of age as a mass-production technology, excelling in environments in which high volumes can be produced in static environments. More recently, manufacturing processes have become increasingly dynamic as manufacturers adjust to high-mix low-volume markets. Consequently, manufacturers are increasingly looking at automation solutions that involve people and robots working together. The matter is complicated by what's become a perennial labor shortage. The new way of evaluating automation from a business perspective has been articulated in a concept called Positive Sum Automation. Instead of automation being about employee reduction, it's now more about using automation to make workers, the scarcest resource, more productive. Technology is not a magic bullet that will solve productivity problems by itself, nor can it be effective at automating defective processes. But in the hands of engaged teams that understand workplace processes and take pride in optimizing them, technology will be a powerful enabler for the future.
Trade Publication Article