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Smart Manufacturing Is Cloud Computing

2018 AT&T Business Summit: Security “in” and “of” the Cloud

By G C Network | November 10, 2018

While public cloud is undoubtedly an outsized piece of the conversation, news headlines of the latest data breach can make this move a very frightening proposition. The question of how to balance the downside of cloud computing risks with the upside of promising cost savings is, therefore, top of mind.  The dilemma becomes even more…

My Brush with Royalty: Queen Latifah

By G C Network | November 9, 2018

Queen Latifah! Hip Hop Icon. Movie Star. Television Star. Fashion Model. Songwriter. Producer. Entrepreneurial Genius!? YES! Dana Elaine Owens, her given name, is co-owner of Flavor Unit Entertainment, a firm that includes television and film production units, a record label and an artist management company. She has been managing herself since age 21 and within 2 years…

What’s New in Puppet 5?

By G C Network | November 9, 2018

Puppet 5 is released and comes with several exciting enhancements and features that promise to make configuration management much more streamlined. This article will take a comprehensive look at these new features and enhancements. Puppet 5 was released in 2017, and according to Eric Sorensen, director of product management at Puppet, the goal was to…

5 Reasons Why Ansible is the Best CM Tool Out There?

By G C Network | November 9, 2018

Amidst volatile markets, dynamic technology shifts, and ever-increasing customer demands, it is imperative for IT organizations to develop flexible, scalable and high-quality applications that exceed expectations and enhance productivity. A software application has numerous moving parts, which, if not effectively maintained, will definitely affect the final quality and end user experience. This is where configuration…

Machine learning APIs for Google Cloud Platform

By G C Network | November 9, 2018

Google Cloud Platform (GCP) is considered to be one of the Big 3 cloud platforms among Microsoft Azure and AWS. GCP is widely used cloud solutions supporting AI capabilities to design and develop smart models to turn your data into insights at a cheap, affordable cost. (The following excerpt is taken from the book ‘Cloud Analytics with…

What Is The Most Important Part of Architecture?

By G C Network | November 9, 2018

I always find it interesting to hear what people view architecture as. A lot of people think it’s just about the design aspect, where you get to put pen to paper and create a solution. Even more people think that it’s just about putting together different technical components in a server room. And these people…

Cloud migration best practice Part 4: Executing the migration

By G C Network | September 16, 2018

This series has stepped through cloud migration best practices. After providing an overview, we discussed: Classifying business-critical data. Updating organizational IT governance policies. Application screening and cloud workload selection. How to select the most appropriate target deployment environment. With all of that completed, it’s now time to select the right cloud service provider (CSP) and finally…

Cloud Migration Best Practice Part 3: Application Portfolio Analysis

By G C Network | September 16, 2018

In part three of this series on cloud migration best practice, I will focus on migrating the application itself. If you haven’t had the opportunity to read our recommendations from part two, “Classifying Your Data,” check it out — those activities are crucial to the decisions addressed in this installment. While many organizations are aggressively moving…

Why Use Immutable Storage?

By G C Network | September 11, 2018

Data has become a global currency, and its value has nowhere to go but up.  According to The Economist online, the world’s most valuable resource is no longer oil, but data. The volume and velocity of data creation are astounding, and some estimates say that something like a self-driving car can generate 100 gigabytes per…

CLOUD ACT: What Does That Mean for Your Cloud Storage

By G C Network | August 31, 2018

When Congress names a law after you, it’s getting serious.  That is where we are now with cloud computing.  The Clarifying Lawful Overseas Use of Data Act or CLOUD Act (H.R. 4943) is a United States federal law that amends the Stored Communications Act (SCA) of 1986.  This amendment allows federal law enforcement to compel U.S.-based technology companies…

As cloud computing simultaneously transforms multiple industries many have wondered about how this trend will affect manufacturing. Often characterized as “staid”, this vertical is not often cited when leading edge technological change is the topic. This view, however, fails to address the revolutionary nexus of cloud computing and the manufacturing industry. Referred to as Digital Thread and Digital Twin; these cloud driven concepts are now driving this vertical’s future.
Digital Thread is a communication framework that connects traditionally siloed elements in manufacturing processes in order to provide an integrated view of an asset throughout the manufacturing lifecycle. Digital thread implementation also requires business processes that help weave data-driven decision management into the manufacturing culture.
A Digital Twin is a virtual representation of a manufacturer’s product used in product design, simulation, monitoring, optimization and servicing. They are created in the same computer-aided design (CAD) and modeling software that designers and engineers use in the early stages of product development. A digital twin is, however, retained for later stages of the product’s lifecycle, such as inspection and maintenance.
Figure 1– The smart manufacturing landscape https://www.industryweek.com/systems-integration/journey-smart-manufacturing-revolutio
When successfully combined these processes can deliver on the promise of Smart Manufacturing, which include:
·         Ability to receive published data from equipment using secure open standards, analyze and aggregate the data, and trigger process controls back to equipment, systems of record and process workflows across the enterprise and value chain connected via A2A and B2B open standards.
·         Autonomous and distributed decision support at the device, machine and factory level.
·         Ubiquitous use of mined information throughout the product value chain including end-to-end value chain visibility for each product line connecting manufacturer to customers and supplier network.
·         Enhanced information- and analytics-based decision making on large amounts of raw data gathered from the smart manufacturing equipment and processes.
·         New levels of efficiency to support new services and business models including mass customization (highly configured products) and product-as-a-service.; and
·         Provide a broad portfolio of these advanced capabilities to manufacturers of all sizes and in all industry sectors, at acceptable levels of cost and implementation complexity.
Although at first glance these goals seem overly ambitious, they are being realized today because technologies and integration standards have come together to fuel this revolution. Required building blocks include:
·         Smart machines and advanced robotics –These machines recognize product configurations and diagnostic information, and make decisions and solve problems without human intervention.
·         Industrial Internet of Things (IIoT) – Devices with network and internet connectivity that are active participants in event-driven, self-healing manufacturing processes integrated with open standards that support connectivity.
·         Cloud services – On-demand information technology services that can be rapidly provisioned and released with minimal management effort or service provider interaction.
·         Enterprise integration platforms – Platforms that have the ability to receive data broadcast from equipment via secure open standards. These applications analyze and aggregate the data, and trigger process controls, history recording, and work flows that enable business processes across value chain systems that can then be integrated via application-to-application (A2A) and business-to-business (B2B) open standards.
Digital Thread and Digital Twin also enable the evolution in the manufacturing field often referred to as Industry 4.0. This next phase increases manufacturing efficiencies while reducing both cost and time of delivery. It brings together data, cloud computing, and cyberphysical systems in order to deliver:
·         Industrialization where machines supported human work;
·         Optimization where assembly lines increased productivity;
·         Automation, where machines largely replaced humans; and
·         Digitalization, where information technology with its broad portfolio becomes an integral part of manufacturing.
Cloud computing has extended many benefits to manufacturing because those businesses can now:
·         Rely more on standard cloud services allowing them to focus on business-critical functions.
·         Reduce capital expenditures significantly
·         Relieves manufacturer of the burden to license, deploy, and maintain baseline IT services like email, collaboration, unified communication, and human relation management
·         Enhance operational flexibility through the use of rapid IT scalability
In summary, the combination of digital thread, digital twin and cloud computing enables both smart manufacturing and Industry 4.0. If you’re company isn’t deeply leveraging all of these concepts today, you don’t know anything about manufacturing.

This post was brought to you by IBM Global Technology Services. For more content like this, visit Point B and Beyond.


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