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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IoT Based Milk Production Application
IoT Based Milk Production Application
The dairy farm as a result of being completely manual in nature had become completely unproductive and unprofitable. Technology intervention was the need of the hour
Benteler Automobiltechnik automates plants & processes
Benteler Automobiltechnik automates plants & processes
Benteler Automotive is looking for a solution that can solve the following situations: - Operation of 70 plants in 29 countries with worldwide reliance on components - Identify a seamless way to connect people, process, data and things to expedite the production process
IIC Smart Manufacturing Connectivity for Brown-field Sensors
IIC Smart Manufacturing Connectivity for Brown-field Sensors
The discrete manufacturing domain is characterized by a strictly hierarchical structure of the automation systems, commonly referred to as the automation pyramid. Data acquired by a sensor typically flows through an IO-module into a Programmable Logic Controller (PLC) which manages the local real-time control system. As all process data are concentrated in the PLC, re-programming the PLC and thus, implementing interfaces to access these data appear to be the natural choice to transfer them to the IT system. However, for brownfield installations this choice has proven impracticable for the following two reasons:In brownfield facilities, PLC usually operate within a once-specified environment and are rarely re-programmed. That is why the active staff is often not familiar with the code and lacks of the competence to modify the existing implementation in a reasonable amount of time.Furthermore, for cost reasons, any PLC was selected to exactly match the requirements of the environment within which it was intended to operate. That is why it cannot be assumed that a PLC will be able to support additional tasks such as communicating data through additional interfaces.

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.

 

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