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Human Performance

Published by admin at February 10, 2023
Categories
  • Essay
Tags
  • Human Performance

 

For this discussion activity, you will find and discuss an example of improvement and/or optimization of human performance in a technical (i.e. aerospace, engineering, etc.) industry setting, within the last 15 years. Discuss the ergonomic impact, positive or negative. Make an educated and supported prediction as to whether further improvement/optimization will likely be seen in the next decade to enhance human performance in industry.

 

 

 

Sample Solution

One example of improvement and optimization of human performance in a technical industry setting within the last 15 years is the use of robotic systems. Robotic systems are used to automate tasks such as welding, drilling and cutting which can be physically demanding for workers due to their constant repetition while also being time consuming if done manually. The implementation of robots eliminates these issues since these machines are capable of performing tasks with more accuracy and speed than humans while also reducing any physical strain put on employees by taking on jobs that require extensive reach, force or sustained postures which could lead to fatigue and injury over time.

Robotic automation has greatly improved ergonomic conditions in many workplaces, allowing employees to focus on other more important tasks without having to worry about maintaining efficiency or safety standards when performing manual labor. This shift from human-centered workflows to automated ones has allowed for increased productivity as well as potential cost savings in terms of wages and other expenses related to traditional labor methods. Additionally, through the integration of advanced sensors, cameras and software applications, robots have been able to detect problems much faster than a person can leading to fewer mistakes overall resulting in greater customer satisfaction with regards to quality control.

regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating to take note of that while there is a limited ability to recall lumps of data, how much pieces in every one of those lumps can change broadly (Miller, 1956). Anyway it’s anything but a straightforward instance of having the memorable option huge pieces right away, somewhat that as each piece turns out to be more natural, it very well may be acclimatized into a lump, which is then recollected itself. Recoding is the interaction by which individual pieces are ‘recoded’ and allocated to lumps. Consequently the ends that can be drawn from Miller’s unique work is that, while there is an acknowledged breaking point to the quantity of pi

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