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Smart Manufacturing Is Cloud Computing

Cloud Migration Part 2: Classify your data

By G C Network | August 30, 2018

In my first post of this series, “Cloud migration part one: An overview,” I provided a high-level summary of how enterprises should migrate applications to the cloud. In this installment, the focus is on enterprise data and why your organization may need to review and reclassify its data before moving anything to the cloud. Security evolves with…

Could Budget Sweeps Fix Your Cybersecurity Problem?

By G C Network | July 19, 2018

A recent roundtable discussion in Washington, DC with Federal IT and Cyber leaders focused on the business drivers, challenges and evolving strategies around cybersecurity in government.  After an opening presentation by Jim Quinn, the lead systems engineer for the Continuous Diagnostics and Mitigation program at the Department of Homeland Security, the discussion highlighted the need…

Cloud Migration Part 1: An Overview

By G C Network | July 17, 2018

Cloud Migration Part One: An Overview   Business is all about efficiency and effectiveness.  In today’s world, however, those twin goals almost always lead to cloud migration.  This anecdotal observation is supported by Gartner which sees worldwide public cloud service revenue jumping to over $300B by 2021.   Independent research from Market and Markets echoes…

A Personal Technology for Good Redux: Call for Code

By G C Network | July 12, 2018

In 2013 I had the opportunity to manage a $2M demonstration of how cloud computing could be used to support natural disasters. In that NCOIC Geospatial Community Cloud (GCC) demonstration, multiple regional clouds were managed using a cloud brokerage platform in a simulated response to a massive earthquake. Modeled after the disaster that struck Haiti…

A Path to Hybrid Cloud

By G C Network | May 31, 2018

Cloud computing is now an operational reality across every industry.  Organizations that fail to leverage this economic, operational and technology consumption model are merely consigning themselves to irrelevance.  The rapid acceleration of cloud adoption has now ignited a push for the Hybrid Cloud/Hybrid IT model in which enterprises simultaneously consumes information technology services from private…

Human-Led Collaboration with Machines

By G C Network | May 29, 2018

When charged with managing large and complex efforts, an overarching project management task is risk assessment. It involves documenting the current situation, comparing it to the past, and understanding the odds of the past repeating itself. Since the past may never repeat itself, however, an insightful project manager also imagines the odds of any possible…

Sensomorphic

By G C Network | May 28, 2018

240 million results are returned in 1.06 seconds (as of May 28, 2018) when you search for cloud computing in a Google search. With that much information available, and that many conversations active around the globe; Do we really know what cloud is? Are we confident in knowing what cloud can do? Can we explain why…

Artificial Intelligence and the Project Manager

By G C Network | May 25, 2018

Organizations use teams to create wealth, market share, customer service, competitive advantage, and organizational success. Effective teams accomplish their assigned end goals by engaging in collaboration as a joint learning activity. Enhanced effectiveness is why collaborative tools are so critical to the project manager, and 7 out of 10 IT professionals see collaboration as essential…

Building A Collaborative Team

By G C Network | May 18, 2018

Recently, Harvard Business Review cited some insightful research into team behavior at 15 multinational companies. It found that although these teams tended to be large, virtual, diverse, and composed of highly educated specialists, those same four characteristics made it hard for teams to accomplish their goals. It also showed that complex team members were less…

Welcome the New Project Manager!

By G C Network | May 18, 2018

According to CIO.com, the six traits of highly effective project managers are: Be a strategic business partner who can offer higher-level strategic leadership skills, not just technical management skills, provide significant advantages for organizations of all sizes. Encourage and recognize valuable contributions because a project leader’s effectiveness is strongly impacted by the contributions of others…

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

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