Accelerating the Industrial Internet of Things
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Use Cases Manufacturing System Automation

Manufacturing System Automation

An automated manufacturing system is the total integration of software and machinery used to create a system that performs manufacturing processes autonomously through computer programming.

Without automated manufacturing systems, factory output would be vastly reduced, production would be very time consuming, working conditions would be less safe and quality control would be extremely difficult. Employees would need to work twice as hard to achieve in a day what they can now achieve in an hour with automated industrial systems.

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Leveraging Machine Learning To Enhance a Molding Process Involving IoT Solutions
Leveraging Machine Learning To Enhance a Molding Process Involving IoT Solutions
In the third wave of industrial evolution, we had automation that produced large amounts of data. This data had high potential for analytic applications, but it was not easy to analyze because it was siloed in the machines where it was generated. With this project, we demonstrate that it’s not complex to send the data to the cloud using secure and reliable services that allow us to analyze the data in near-real time and build maching learning models to extract knowledge from it.
IIC Approves Factory Automation Platform as a Service (FA PaaS) Testbed Proposed
IIC Approves Factory Automation Platform as a Service (FA PaaS) Testbed Proposed
Edge computing via local Edge controllers allows uniterrupted, high speed collection, filtering and processing of real time data line side. Initial fast reactions can be initiated with the full data sets also being sent to associated cloud systems for further analysis. This processing at two layers respects the data integrity but allows the collected data to be processed as live and historical instances. The challenge is how to collect the data from diverse sources without interrupting the existing processes but also being able to span "brown field" systems where there may not even be any existing communication or data capture functions. 
Resin.io | How Pact Coffee Uses Rosin.io To Ship Up To 4k Coffee Packs A Day
Resin.io | How Pact Coffee Uses Rosin.io To Ship Up To 4k Coffee Packs A Day
Pact is a recurring subscription coffee company that sends fresh coffee through the post. They currently ship up to 4000 bags per day and with their rapid growth have looked to resin.io to streamline their production and shipping process. Tony To, CTO of Pact, explains how they used to used to use Android phones and QR codes as barcode scanners to trigger address labeled printing and to mark coffee packets as shipped. However the phones had several drawbacks, the time taken to focus on a QR code and a limit of the number of interconnected devices caused inefficiency and incentivized them to look into a more elegant solution.

The global Smart Manufacturing Market is set for rapid growth and is expected to reach around USD 479.01 billion by 2023.

Source: Zion Market Research

What is the business value of this IoT use case and how is it measured?
Your Answer

How do automated manufacturing systems provide business value?

● Safer for Employees
● Increased Productivity (24/7 runtime)
● Improved Product Quality
● Higher Yields
● More Accurate Data Collection

Not only do automated industrial systems increase production capacity, but the quality of that production is improved, along with greater safety for the employees operating the equipment. These systems can also be configured to provide more accurate data to optimize weak points and greatly decrease product defects due to human error.

Which technologies are used in a system and what are the critical technology?
Your Answer

What are the latest trends in manufacturing technology?

New manufacturing technologies are continually emerging. Some of the biggest trends in recent years include:

  • 3D printing: enabling the creation of almost any component using metal, plastic and other materials, reducing lead time and streamlining the design-to-production process
  • Cloud services: enabling virtual sharing of data and services from any location quickly and efficiently
  • The Internet of Things (IoT): transforming not just the consumer market, but the maintenance and upkeep of electronic devices used in manufacturing processes as well
  • Nanotechnology: enabling things like faster computer processing, longer product lifecycles and super-precision manufacturing, and pioneering advancements in sectors such as space engineering and biotechnology
  • Advanced data analytics and predictive technologies: enabling better process control, prevention of defects and quicker response times in manufacturing
  • Industrial robotics: offering ways to increase productivity, improve quality and reduce cost by automating difficult or monotonous tasks
What business, integration, or regulatory challenges could impact deployment?
Your Answer

What is the biggest challenge face Manufacturing Sytem Automation?

● Cost of Initial Investment

There’s only one real downside to implementing automated manufacturing systems, which is the initial cost. This includes costs of machinery and implementing automated programming as well as training of employees to manage these new systems. However, ROI on this investment generally pays for itself within a few years.

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