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Next-generation work systems can serve different roles in the digital workplace. In their earlier form, these systems focused on performing specialized processes and tasks, such as providing manufacturing processes or assisting workers with specific tasks (e.g., making a prototype). With the adoption of pick-and-place systems, work systems are fundamentally changing to provide a more holistic view of the whole process, including the context-specific knowledge and expertise needed to successfully complete a task in a certain order at a specified time.
In-plant documentation consumption has been steadily increasing over time, accounting for as many as 20% of all labor hours in one manufacturing operation, according to a study by Ernst & Young LLP, which found that some operations consume as much as 50% of the total labor hours. The study compared the 2015 time and motion study of four manufacturing organizations with a similar study conducted in 2005. The study found that as documentation consumption has increased, accurate and timely job execution has come to depend more on documentation than people. For example, a probe-based device that has been widely used in many industries to measure the condition of such components as wire, pipe, and pipes uses documentation, such as a drawing, to inspect and track a probe that is inserted into the component.
Though the initial manufacturer overcomes the technological difficulties of building such a device, he ultimately faces the same challenge of communicating the condition of the component in an easily understood way to people working in that location.
AR has the potential to boost the number and quality of products made, since it provides workers in a factory with a real-time view of what tools and machines they need to successfully complete an operation. In a factory, AR can help workers understand how they should position their hand when using a new robot arm or checking the precise location of a critical jigsaw piece. d2c66b5586
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