Accelerating the Industrial Internet of Things
Log In
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.

 

Read More
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.
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.
Covisint Improves Mitsubishi's Collaboration With Its Supply Chain
Covisint Improves Mitsubishi's Collaboration With Its Supply Chain
Mitsubishi sought to improve supplier relationships on a global basis and to offer an easy-to-use solution to interact with them. In August 2004, Mitsubishi selected Covisint’s platform to help improve sharing of information and collaborative business processes with its global suppliers. Covisint enabled Mitsubishi to provide its suppliers with immediate access to information and applications to obtain more collaborative working relationships

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.

What are the benefits of MIcrogrids?

Provides power quality, reliability, and security  for end users and operators of the grid

Enhances the integration of distributed and renewable energy sources

Cost competitive and efficient

Enables smart grid technology integration

Locally controlled power quality

Minimize carbon footprint and greenhouse gas emissions by maximizing clean local energy generation

Increased customer (end-user) participation

 

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 System Automation?

● Cost of Initial Investment

There’s only one real downside to implementing automated manufacturing systems, which is the initial cost. This includes the 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.

 

Download PDF Version
test test