Top 4 Trends in IoT for Smart ManufacturingAs the Internet of Things (IoT) creates a fourth industrial revolution, smart manufacturing is making waves across all industries. Smart manufacturing has the potential to arm factory operators with data, optimize plants and control inventory with disruptive global technologies in order to create a new level of productivity. Eight top experts in IoT came together to delve into the trends currently defining this space.

Here are the top four trends top expertshave identified as driving the field:

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The industrial internet of things, which is the use of IoT technologies within manufacturing, has the potential to be implemented onto factory floors for immediate benefit to speed and quality of production.

The Industrial Internet of Things (IIoT)

“IIoT, industrial IoT, where the manufacturing process itself becomes a controllable remote activity. As well as automating any number of mundane and often human intervened tasks.”“

Participants:

Founder, CTO and Managing Partner, Creative Technology & Innovation

Scott Anderson

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Leader of Strategic Pursuits, Tata

Consultancy Services

Kishor AkshinthalaValue Improvement Leader, Rolls Royce

Cory NationConsultant

Norma H. AntuñanoCEO, Possum InteractiveFrank Coppersmith

VP IoT Solutions & System Architectures,

MayorTek LLC

Barry CaldwellFounder, CTO and Managing Partner,

Creative Technology & Innovation

Scott AndersenChief Operating Officer,

Founder, Veteran Partners Investments, LLC

Chris WoodsDirector, Panther

Consulting Planners Pty LTD.

Brett Skyring

“As the volumes on the smart IIoT technologies tools and production equipment increases lower margin markets are buying into the efficiencies that IIoT can bring to the table to help high cost labor markets compete with lower cost labor markets both in person costs and quality costs.”“

VP IoT Solutions & System Architectures, MayorTek LLC

Barry Caldwell

“As an example, by adding intelligence into [a centrifugal impeller blade frequency test] through IIoT, the 3 potential areas for transpose errors, man hours, and many hours of held up inventory can be eliminated. All of the tasks are repeatable, and therefore can be completed autonomously; the operator can know pass/fail within seconds and alerts can sent (remotely) to the engineer if approval is required.”

“Value Improvement Leader, Rolls RoyceCory Nation

The immediacy of data from beacons, sensors and other systems, uploaded and shared, has impacted the ability to anticipate system needs, inventory and supply chain information, and reduce downtime between machines, suppliers, manufacturers, and customers. Without Cloud Computing to distribute and keep critical information the IIoT loses it’s ability to share critical updates in real time.

Cloud Computing

“Regardless if the Cloud Computing model is set as private, hybrid or public cloud, the capability will enable more timely flow of information, communication and collaboration among participants in a Smart manufacturing system (including suppliers, partners, logistic organizations, and 3rd party resources). All these benefits can be translated to speed up to market, more timely reaction to changes in the business, financial operational savings for the manufacturer(s) and more. Cloud based systems also support better control of information, product revisions and other communication, overall contributing to the organization’s competitiveness as well.”

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ConsultantNorma H. Antuñano

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“Manufacturers are taking advantage of the cloud to save time and streamline operations. Take DP Technology, based in Camarillo, California, which developed a cloud-based CAM software for a full range of machine tool applications. Its ESPRIT Machining Cloud Connection gives programmers access to a library of up to-date tooling product data, which the company says reduces hours of manually programming tool creation (e.g., for milling, turning) by offering suggested lists of recommended cutting tools.”

“Leader of Strategic Pursuits, Tata Consultancy Services

Kishor Akshinthala

With the huge influx of Big Data generated by IIoT systems comes a need to be able to extract meaning, trends and predictions from this data. Machine Learning and Artificial Intelligence bring the ability to distill patterns, anticipate relevent information and point out anomalies in the information generated by IIoT systems and further refine and enhance productivity.

Artificial Intelligence

“In the last couple years, a trend driving value for Smart Manufacturing is the availability and affordability of Artificial Intelligence (machine learning) resources in the market . Amazon™ offers variety of solutions suitable for diversity of enterprise models (from very small business up to large enterprises). Microsoft has also invested developing artificial intelligence services for enterprises, and Google™ is also looking at positioning its artificial intelligence capabilities to bring support to variety of sectors including manufacturing...The use of artificial intelligence helps organizations become more expeditious identifying what will be their predictive workloads and other resource level needs to address demands.”

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ConsultantNorma H. Antuñano

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“One manufacturer that’s had early success integrating AI and other smart factory technologies into its operations is Procter & Gamble, which operates 130 plants worldwide. The consumer products giant is a GE Predix and Brilliant Manufacturing user. The tools have helped the company cut unplanned downtime by 10 percent to 20 percent.”

“Leader of Strategic Pursuits, Tata Consultancy Services

Kishor Akshinthala

Sensors are a critical component of recording, generating and relaying information about everything from packaging to individual parts of a machine by recording and uploading this information into the Cloud. More accurate sensors, measuring everything from temperature, volume, time and usage create the flow of information that acts as an underpinning of the IIoT.

Smart Sensors

“[Smart sensors] that are aware not only of the parameters of their operations but also the nature of the information they produce. A volcanic monitor should know if temperature around it rises rapidly the information is critical. That information should arrive to a human in a rapid manner. Therefore, if the cell network is down, Wi-Fi and Bluetooth also down, use the most expensive Satellite connection because the information is critical.”

“Founder, CTO and Managing Partner, Creative Technology & Innovation

Scott Andersen

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“IoT is transforming “Connected Machines to Smart Things” improving process responsiveness: At one of GE’s battery plants, 10,000+ sensors measure temperature, humidity, air pressure and machine operating data in real time. This not only gives the opportunity to monitor production and adjust processes in real time, but also to trace battery performance back to specific batches of powder and at every step along the process.”

“Leader of Strategic Pursuits, Tata Consultancy Services

Kishor Akshinthala

“Setting in place sensors and intelligence in the manufactured products itself in addition to intelligence in the manufacturing operations. Enabling two-way communications between the product and manufacturer that can correlate manufacturing data to an uptick in warranty claims or predict when demand of aftermarket/replacement parts will increase.”

“Value Improvement Leader, Rolls RoyceCory Nation