Smart Manufacturing Is Cloud Computing

November 27, 2016 / G C Network / Comments Off

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Amazon’s Jeff Bezos on Cloud Computing

By G C Network | June 18, 2008

Amazon’s Jeff Bezos on Cloud Computing How and when Amazon began its cloud computing effort.Why Amazon has become an innovator with Amazon Web Services and how it relates to their…

Dataline, IBM, Google, Northrop Grumman on Cloud Computing

By G C Network | June 17, 2008

My company, Dataline LLC, in cooperation with IBM, Google and Northrop Grumman Mission Systems, is sponsoring an educational series entitled “Cloud Computing in a Netcentric Environment“. The series will be…

EMC Studies Cloud Computing Security

By G C Network | June 17, 2008

Storage firm EMC has joined the Daoli Trusted Infrastructure Project which conducts research into “trust and assurance” in cloud computing environments. The team’s research will focus on cloud computing, trusted…

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By G C Network | June 17, 2008

For explaination and details see Understanding the Cloud Computing/SaaS/PaaS markets: a Map of the Players in the Industry by Peter Laird, Kent Dickson, and Steve Bobrowski from Oracle. Update: Please…

Key cloud computing concerns by CXO’s

By G C Network | June 16, 2008

Key cloud computing concerns by CXO’s attending the Enterprise 2.0 Conference in Boston were addresed in a June 9th panel of executives from Google, Amazon Web Services (AWS), and Salesforce.com.…

IBM Cloud Computing Center

By G C Network | June 13, 2008

On June 5th, IBM announced it will establish the first Cloud Computing Center for software companies in China, which will be situated at the new Wuxi Tai Hu New Town…

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By G C Network | June 13, 2008

Elastic Utility Computing Architecture for Linking Your Programs To Useful Systems (EUCALYPTUS) is a new project that seems to be trying to put an “open source” flavor to cloud computing.…

The Honorable John G. Grimes Speaks about Cloud Computing

By G C Network | June 12, 2008

Today I had the pleasure of hearing The Honorable John G. Grimes, Assistant Secretary of Defense for Networks and Information Intergration and Department of Defense CIO, speak on some key…

Amazon leads Google into the cloud (So what else is new)

By G C Network | June 12, 2008

In this May 1, 2008 Globe and Mail Update article, Mathew Ingram provides an excellent comparison of Amazon and Google’s cloud computing initiatives. Bottom line: Amazon leads the pack with…

Web 2.0 Expo – What is Cloud Computing?

By G C Network | June 11, 2008

For some interesting views, take a look at these video interviews on what is cloud computing. These were done during the recent Web 2.0 Expo, April 22-25 in San Francisco,…

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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.