Smart Manufacturing Is Cloud Computing

Cloud Computing as a Strategic Asset

By G C Network | April 30, 2009

For some reason, this week seems to have more in it than most. While the steady stream of briefing request seem to be increasing, the post briefing discussions also seem…

Vivek Kundra: “Engage the American People in their Daily Digital Lives”

By G C Network | April 25, 2009

Today I attended a very impressive talk by the Federal CIO, Mr. Vivek Kundra at a Northern Virginia Technology Council Public Policy event. His open and “matter of fact” approach…

McKinsey vs. Booz Allen Hamilton !

By G C Network | April 21, 2009

A community skirmish reminiscent of the recent “manifestogate” has apparently erupted around the McKinsey & Co. report “Clearing the air on cloud computing“. Booz Allen Hamilton Principals Mike Cameron and…

Oracle Buys Sun!!

By G C Network | April 20, 2009

Swooping in from nowhere, Oracle buys Sun for $7.4B!! “This morning, the companies announced that they’d struck a deal worth $7.4 billion or $5.6 billion net of Sun’s cash and…

Aneesh Chopra Nominated For Federal CTO

By G C Network | April 20, 2009

Although Aneesh Chopra is a new name for most, he is well know in Virginia as Governor Tim Kaine’s Secretary of Technology. For the Commonwealth, he was charged with leading…

Could Cloud Computing Cost More?

By G C Network | April 16, 2009

In a recent conference, analyst William Forrest says that large companies could end up paying more than twice as much by using cloud based services. According to a Forbes.com report,…

Cisco’s Cloud Computing Strategy

By G C Network | April 10, 2009

A couple of weeks ago, Krishna Sankar provided a glimpse into Cisco’s cloud computing strategy in a presentation titled “A Hitchhiker’s Guide to the Inter-Cloud” . The presentation outlined the…

NCOIC and Cloud Computing: An Update

By G C Network | April 8, 2009

As the NCOIC gets it’s arms around this new paradigm, the Cloud Computing Working Group has focused on establishing a roadmap for providing value to the industry. Using the established…

SUN-IBM Talks Breakdown

By G C Network | April 6, 2009

As reported in multiple sources today, including Reuters, Sun has apparently rejected a purchase offer by IBM. “Shares of Sun Microsystems Inc tumbled 22.5 percent after it rejected a $7…

Former DoT CIO on Cloud Computing

By G C Network | April 3, 2009

Last month, former Transportation Department CIO Dan Mintz offered his views on cloud computing to Eric Chabrow, Managing Editor of Government Information Security. According to Mr. Mintz, there is currently…

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.


Cloud Musings

( Thank you. If you enjoyed this article, get free updates by email or RSS – © Copyright Kevin L. Jackson 2016)

Follow me at https://Twitter.com/Kevin_Jackson
Posted in

G C Network