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HOW AI HELPS INDUSTRIAL ENGINEERS

06.01.2022
artificial-intelligence, industrial-engineering


Industrial Engineers are an indispensable key to the operations of factory
manufacturing. They have specialized expertise in mathematics, physics, and the
social sciences. Industrial engineers optimize the design of a production
integrated system. The Lean Manufacturing model proposes a system in which
Industrial Engineers are essential in the tasks of continuously improving the
production line to reduce waste of time, resources, and materials

In this model, Industrial Engineering heavily focuses on researching the many
working metrics of the manufacturing line.


In the early 20th century, Federick Winslow Taylor developed what he called time
and motion study. This form of study, where a timekeeping device directly and
continuously measures a task, developed into what we now call Scientific
Management. As the original name describes, there are two complementary aspects
of this study. By analyzing the sequences of actions along the production line
and the time to complete those sequences (e.g. time quotas), we begin to  model
the efficiency of the factory. This analysis will help identify bottlenecks and
areas for improvement. 

During the economic boom that preceded World War II, Scientific Management
theory became widely accepted and applied into the manufacturing line. From this
point on, systematic and scientific methods to the field were further refined.
However, our methods of direct measurement still remain relatively unaltered
from the times of Taylor. We still use paper, pen, and a stopwatch, to
understand the production line. Now we might just have the help of an Excel
spreadsheet to manage our data loads. 

AI will help lighten the load for Industrial Engineers

Besides work-time data gathering, Industrial Engineers have to dispatch
management personnel, manage equipment and factory facilities, develop
production materials, and oversee operation methods. Industrial engineers are
spread thin. Statistical data points that Industrial Engineers, on average, only
obtain 15 minutes of data every month. This averages to less than 0.1% of the
production line. 

AI hopes to lighten IE’s work plate. AI will take over time-consuming and cost
inefficient work from the hands of IE. In Industry 4.0, AI takes the lead. Many
forward-thinking enterprises are introducing AI in order to:

 * Predict defects in design
 * Detect accidental defects in production
 * Carry out quality assessments
 * Help predict product repair time
 * Product demand and price forecast
 * Inventory management

As an example, let’s look into defect detection. Manufacturers still hire people
to detect defects by manually investigating with their eyes and hands. Even with
the assistance of AIO instruments, the results are often inaccurate. Spending a
lengthy time on an inaccurate process is disappointing for the entire team.  AI
can alleviate current grievances with the manual system. Through sensors and
cameras, it can detect defects instantaneously and accurately. Lest not forget
that AI works 24/7, so its value potential is truly limitless. 

At PowerArena, AI will maximize factory personnel’s value:

Often with new technologies, there is a fear of a takeover. A loss of jobs.
However, AI will not be replacing jobs but rather creating new value potentials
for current factory personnel. Work will become more productive with the
expedited calculative processes of AI. Industrial engineers can use their time
more on other valuable tasks. Everybody needs to embrace this new technology. 

We are able to actualize this value potential. At PowerArena, we transform
inexpensive, market-available cameras into our AI’s eyes. Our servers generate
real time, comprehensive data. Instead of industrial engineers laboriously then
coding that data, our AI tech automatically does it for them. 

If you’re interested in PowerArena’s value potential for your company. Contact
us here.

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