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By adopting a strategy

of digital transformation,

manufacturers can modernize

their infrastructures to take

advantage of Industry 4.0

capabilities, gaining more

efficient operations and

improved agility.

Together, Intel® architecture-based hardware platforms and Red Hat® middleware,

virtualization, storage, and development solutions can help manufacturers build a framework for streamlining

processes and supply chain operations.

INTRODUCTION

Industry 4.0 promises to reshape manufacturing by increasing connectivity between increasingly

smaller components to support smart manufacturing. By adopting a strategy of digital

transformation, manufacturers can modernize their infrastructures to take advantage of Industry

4.0 capabilities, gaining more efficient operations and improved agility. These environments will

better support emerging technologies, such as the Industrial Internet of Things (IIoT), robotics,

advanced data analytics, digital fabrication, business automation, and 3D printing. As a result,

intelligent, networked machines will be able to efficiently respond to tasks, whether issued

through human commands or guided by hyperaware perceptions and learning algorithms.

Many of the technologies that form the foundation of Industry 4.0 are already available, while

others are moving from proofs of concept (POCs) to production implementations. Through

collaborative co-engineering, Intel and Red Hat have worked closely together with industry

partners to pioneer many of the technologies that support digital disruption and integration

in manufacturing. Together, Intel® architecture-based hardware platforms and Red Hat®

middleware, virtualization, storage, and development solutions can help manufacturers build a

framework for streamlining processes and supply chain operations.

TABLE OF CONTENTS

INTRODUCTION ...................................................................................................................... 1

SUPPORTING DIGITAL TRANSFORMATION ...................................................................... 2

Connecting resources ................................................................................................................................... 2

Fostering interoperability ............................................................................................................................ 2

DEPLOYING TECHNOLOGY TO SUPPORT INDUSTRY 4.0 .............................................. 3

Managing data from the edge..................................................................................................................... 3

Improving agility in manufacturing ........................................................................................................... 3

Deploying hybrid cloud for Internet of Things (IoT) ............................................................................. 4

Building perceptive machines ..................................................................................................................... 5

Creating collaborative ecosystems and partnerships.......................................................................... 5

Succeeding with IoT in manufacturing ..................................................................................................... 6

SUMMARY .............................................................................................................................. 7

TECHNOLOGY PERSPECTIVE

MANUFACTURING INDUSTRY MODERNIZES I.T. WITH INTEL AND RED HAT

TECHNOLOGY PERSPECTIVE

2redhat.com TECHNOLOGY PERSPECTIVE Manufacturing industry modernizes IT with Intel and Red Hat

SUPPORTING DIGITAL TRANSFORMATION

CONNECTING RESOURCES

The Industry 4.0 transformation stems from the business value of connecting all of the devices,

components, and assets within an intelligent network. This network includes abstract and physical

resources — for example, business rules that control a particular workflow, data related to parts

inventory, a robotic welding arm on an assembly line, or human collaboration to solve a business

challenge. These links between people, machines, devices, enterprise systems, and analytic engines

form an intricate, intelligent web. All of the links along this value chain are ultimately focused on

meeting customer requirements, whether simple or highly customized.

Digital transformation has provided many benefits for businesses across vertical markets. IT

modernization supports DevOps principles for rapid development, greater agility from virtualized

compute resources, and improved interoperability from standardized operating environments (SOEs).

The benefits that businesses can achieve through digital transformation include:

• Automation of processes and workflows. Digital workloads can be easily automated for

greater efficiency.

• Faster development of new products and services. Digital transformation offers a way to

innovate rapidly.

• Enhanced responsiveness to customers. Data-driven customer interactions help manufacturers

deliver exactly what customers need.

• Lower operating costs. Predictive maintenance and better visibility across complex

infrastructures can help reduce the cost of operations.

• More effective supply chains. With better data flow between manufacturers and suppliers,

supply chain operations can be managed more effectively.

As a part of this transformation, manufacturers and industrial product companies are creating

new business models to streamline vital business operations, improve efficiency, and establish

themselves as technology leaders in their sectors. Adoption of Industry 4.0 technologies can be

made gradually by phasing in newer components while connecting with and retaining vital business

applications on traditional systems. The most important consideration is establishing connections

across the IT infrastructure and ensuring interoperability between components.

FOSTERING INTEROPERABILITY

For the Internet of Things to function efficiently and reliably, interoperability is essential. Hardware

and software components must function well together, and new architectures must interoperate

with traditional systems. An SOE established using reference architectures developed by Intel and

Red Hat can solve many of the challenges of setting up an infrastructure to support IIoT solutions.

However, many industrial environments lack standardization among machines, computing devices,

application servers, sensor networks, and database servers. The use of proprietary, nonstandard

communication protocols restricts interoperability and impedes the flow of data throughout an

organization, as well as to partners and stakeholders.

“The smart factory of the future fulfills

customized customer requirements with

state-of-the-art industry software that links

all stages of the value chain.”1

IRENE J. PETRICK

PH.D, DIRECTOR OF BUSINESS

STRATEGY, INTEL INDUSTRIAL AND

ENERGY SOLUTIONS DIVISION

1 Petrick, Irene J. “Getting to Industry 4.0.” Intel. 2016.

3redhat.com TECHNOLOGY PERSPECTIVE Manufacturing industry modernizes IT with Intel and Red Hat

To help manufacturers and other industrial organizations establish SOEs, Intel and Red Hat develop

architectures and solutions that incorporate open standards to maximize interoperability and bridge

components from heterogenous network environments.

DEPLOYING TECHNOLOGY TO SUPPORT INDUSTRY 4.0

Connecting devices and machines to cloud-based infrastructures requires interoperable

technologies and solutions that integrate easily with IoT infrastructure components.

MANAGING DATA FROM THE EDGE

Intel® IoT Gateways manage data transfer to and from edge devices and cloud-based IT

infrastructures. In these gateways, intelligent data aggregation filters and minimizes the volume

of data that is sent to datacenters. These gateways also translate protocols and data formats from

diverse devices to ensure that data from the edge is usable and transferred in the correct format.

By minimizing the obstacles to developing IoT solutions, Intel IoT Gateways help manufacturers take

advantage of IoT technology faster. Gateway security mechanisms protect data in transit between

edge devices and sensors and cloud-based datacenters. Intel IoT Gateways also simplify connecting

modern IT infrastructures with traditional IT systems for better manageability. For more information,

read “Getting to Industry 4.0 with the Internet of Things” at intel.com/content/www/us/en/

internet-of-things/solution-briefs/industry-with-iot-ebook.html.

IMPROVING AGILITY IN MANUFACTURING

Proprietary IT infrastructures prevent manufacturers from taking advantage of the benefits

of Industry 4.0. Many industrial devices, based on proprietary designs, use nonstandard

communications protocols, isolating them from the rest of the infrastructure. This inflexibility has

led many organizations to recognize the cost and agility advantages of open source applications

running on standard high-volume servers.

Red Hat provides a variety of software solutions, particularly middleware, to help manufacturing

companies meet changing business needs and accelerate development. Red Hat JBoss® Enterprise

Application Platform (EAP) 7, a solution optimized for cloud-based infrastructure and designed to

improve developer productivity, is increasingly popular in the automotive industry and other vertical

markets. With a design model well suited for DevOps development practices, this platform can

help manufacturers rapidly build traditional or modern microservices applications. Together with

Red Hat OpenShift Container Platform, JBoss EAP 7 helps companies take advantage of container

technology and its elasticity, as well as system health monitoring.

Red Hat JBoss Fuse can also be an essential component in IoT deployments. This solution is a

lightweight integration platform that acts as an enterprise service bus (ESB). JBoss Fuse can

help organizations deploy, connect, and manage the components of a complex IoT infrastructure

by supplying necessary service delivery and governance capabilities, as well as business

transaction monitoring.

“The vendors who provide public

APIs [application programming

interfaces] and support open standards will succeed in the long

run. Likewise, the vendors who try to

trap consumers behind proprietary software

and non-interoperable products will

eventually fail to everyone’s detriment.”2

MIKE LOUKIDES

VICE PRESIDENT OF CONTENT

STRATEGY, O’REILLY MEDIA, INC.

2 Loukides, Mike. “Toward an open Internet of Things.” Radar O’Reilly. 2014. http://radar.oreilly.com/2014/04/toward-an-open-internet-of-things.html

4redhat.com TECHNOLOGY PERSPECTIVE Manufacturing industry modernizes IT with Intel and Red Hat

DEPLOYING HYBRID CLOUD FOR IoT

Red Hat solutions for developing and deploying hybrid clouds provide an ideal framework for

launching end-to-end IoT solutions in manufacturing environments. To take advantage of the

benefits of IoT, manufacturers need solutions that are extremely scalable, adaptable for embedded and

mobile implementations, and capable of securely transferring and storing massive volumes of data.

From cloud engines that handle business needs to cloud management tools that coordinate resource

use, related Red Hat solutions support flexible, open hybrid cloud architectures that unify cloud-

based solutions, IoT applications, and traditional systems (Figure 1).

CLOUD MANAGEMENT(PROTECTING THE BUSINESS)

CLOUD ENGINES(SERVING THE BUSINESS)

Red Hat CloudForms(ManageIQ)

Red Hat Satellite(Foreman / Puppet)

Red Hat OpenShift Container Platform(OpenShift Origin)

Red HatVirtualization (oVirt)

Red Hat OpenStack®

Platform (OpenStack)

Red Hat Enterprise Linux®

(KVM / Linux containers)

Red Hat Storage(Gluster / Ceph)

PHYSICAL INFRASTRUCTURE

Red Hat JBoss Middleware

App App App App App App

Cloud orchestration

OS & app life-cyclemanagement

Middleware

Platform-as-a-Service(PaaS) engine

Service virtualization& Infrastructure-as-

a-Service (IaaS) engines

Compute abstraction

Storage abstraction

The Red Hat Embedded Program equips manufacturers with the mechanisms for collecting and

relaying inbound data from IoT devices and sensors to the applications, analytic engines, and

systems that transform and process this data. Through this program, manufacturers gain access

to reliable, proven solutions with built-in cybersecurity provisions and platform optimization that

accelerate performance in demanding implementations. Several Red Hat solutions are ideal for

embedding in the industrial workplace, including Red Hat Enterprise Linux, Red Hat JBoss Data Grid,

Red Hat JBoss AM-Q messaging platform, and military-grade security components. For more details,

visit redhat.com/en/promo/embedded/industry-use-cases.

Figure 1. Red Hat open hybrid cloud technologies

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BUILDING PERCEPTIVE MACHINES

Machines that can emulate human senses have the potential to improve manufacturing processes

and the effectiveness of robotics. Intel® RealSense™ technology offers robust capabilities in

applications where a variety of sensing technologies can be applied, including 3D imaging, interior

mapping, depth perception, and feature tracking. Virtual reality and augmented reality applications

can be developed to enhance operations in warehouse, factory floor, design suite, and other

manufacturing environments.

Equipping robots with computer vision offers opportunities to perform object recognition, facial

recognition, and navigation through unfamiliar environments. Drone operations, factory procedures,

and warehouse logistics can all gain extra intelligence through the use of this technology.

In addition, the technology offers benefits for collision avoidance and navigation in autonomous

vehicle design. The promise of autonomous vehicles has intrigued and inspired automobile

manufacturers and smart city advocates for years. According to Morgan Stanley, autonomous cars

could generate US$1.3 trillion in annual savings in the US, while global savings could exceed US$5.6

trillion annually.3

Although there are many challenges to successful autonomous driving, related technologies are

rapidly being refined with road-tested prototypes created by visionary manufacturers, such as Tesla.

Most major automotive manufacturers are creating designs or prototypes. Mobileye, creator of the

EyeQ 4/5 system used in Tesla vehicles, has partnered with BMW and Intel to develop a platform

for self-driving cars that will include Intel® processors.4 These processors will interpret input from

cameras, radar signals, and other sources to provide vehicle guidance.

Other Intel technologies that can contribute to autonomous driving advances include IoT and

integrated 5G solutions, modernized datacenters that use software-defined networking (SDN) and

network functions virtualization (NFV) technologies to collect and analyze data for vehicle training

and new low-power microprocessors and silicon devices.

Developer kits from Intel offer a streamlined path for creating immersive experiences with Intel

RealSense technology. For more information, visit intel.com/content/www/us/en/architecture-and-

technology/realsense-overview.html.

CREATING COLLABORATIVE ECOSYSTEMS AND PARTNERSHIPS

The ambitious goals of Industry 4.0 are beyond the capabilities of any single company. Instead,

ecosystems of vendors, partners, original equipment and device manufacturers (OEMs and ODMs),

independent software vendors (ISVs), and other stakeholders must devise and support interoperable

end-to-end solutions.

Red Hat Connect for Technology Partners offers resources that support an open collaborative

ecosystem through accelerated solution development for a certified library of test components.

This ecosystem can help refine solution plans, unite necessary components for building tools and

applications, and introduce innovative companies to each other for mutual benefit. For more details

about the program, visit https://connect.redhat.com/.

3 Morgan Stanley, “Autonomous Cars: The Future is Now.” 2015. morganstanley.com/articles/autonomous-cars-the-future-is-now

4 Etherington, Darrell. “Intel joins Mobileye and Delphi on self-driving car system.” Techcrunch. 2016. https://techcrunch.com/2016/11/29/intel-joins-mobileye-and-delphi-on-self-driving-car-system/

6redhat.com TECHNOLOGY PERSPECTIVE Manufacturing industry modernizes IT with Intel and Red Hat

Similarly, Intel has established an ecosystem devoted to companies interested in IoT collaboration.

The Intel® IoT Solutions Alliance brings together more than 500 global member companies, each

with expertise that contributes to building comprehensive IoT solutions. Membership in this alliance

gives developers a way to build innovate solutions faster and more effectively with the support of

a large and growing body of members. For more information, visit intel.com/content/www/us/en/

partner/solutions-alliance/program-overview.html.

SUCCEEDING WITH IoT IN MANUFACTURING

The success of Intel’s chip-manufacturing process technology is an example of the effectiveness

of using IoT technology and massive-scale data analytics to improve the efficiency and quality of

processors and special-purpose integrated circuits (ICs). Combining IoT and advanced data analytics

to coordinate data from multiple Intel factories globally informs the work of factory managers, yield

engineers, and process engineers. This type of large-scale data analysis has been shown to improve

wafer quality, accelerate time to market, and boost yield quantities.5

Manufacturing data from the edge — from sensors that capture factory environmental, wafer,

and semiconductor process equipment data — is aggregated, filtered, and then analyzed using a

specialized technique that produces a variety of results. These reports are used by engineers to

refine and improve manufacturing processes and solve specific business challenges (Figure 2).

For example, using this method, Intel engineers have been able to speed a process that previously

required four hours to complete and finish it in under 30 seconds.

5 Chadwick, Steve. “Joining IoT with Advanced Data Analytics to Improve Manufacturing Results.” IT@Intel. 2015. intel.com/content/dam/www/public/us/en/documents/white-papers/joining-iot-with-advanced-data-analytics-to-improve-manufacturing-results-paper.pdf

Ability to filter based oncriteria and parameters

INTEGRATEDMANUFACTURING DATA

FactoryEnvironmental Data

Semiconductor ProcessEquipment Data

Wafer Data

Figure 2. Integrating manufacturing data to improve quality

7redhat.com TECHNOLOGY PERSPECTIVE Manufacturing industry modernizes IT with Intel and Red Hat

In another example, Fusheng Industrial, a global air compressor manufacturer, needed to improve

reliability and reduce the downtime of compressors being used by customers. To achieve these

improvements, Fusheng has integrated Intel chips into its air compressors and uses Intel IoT

gateways to perform predictive failure algorithms, proactively identifying the need for equipment

maintenance. With this IoT solution, Fusheng can automatically monitor compressor malfunctions,

track energy consumption, and detect wear levels of key components. Through IoT-based delivery

of equipment performance reports and service recommendations, Fusheng can better respond to

customer requirements, reduce equipment downtime, and schedule field service visits in response to

potential issues predicted by operational data.

Some IT modernization efforts provide incremental improvements to traditional systems to solve

specific customer issues. A major automobile manufacturer was experiencing difficulty coordinating

car shipments with available truck drivers and trailers, resulting in delayed revenues, extended

wait times for customers, and canceled orders. A recent Red Hat Consulting engagement helped

the company identify weaknesses in its existing logistics planning system. Red Hat consultants

guided the manufacturer through deployment and use of Red Hat JBoss BRMS, a rules-based tool

designed to increase agility and automate planning. As a result, the manufacturer improved its

ability to fulfill auto delivery time and the wait time for truck drivers. This planning solution solved

numerous complex challenges, demonstrating the business value of open standards and setting up

opportunities for more IT modernization.

SUMMARY

Despite monumental advances, robots will not yet replace humans in factories. According to Ken

Goldberg, professor at the University of California, “Machines are very good at lots of things:

precision, repetition. But they are extremely bad at any type of creativity or insights.” As a result,

automation systems must be able to seek human assistance for any critical decision-making.6

However, through digital transformation of manufacturing in the emerging era of Industry 4.0,

greater intelligence can be built in automated systems and robotic manufacturing lines. Robots

and machines that are connected across the cloud and informed by data analytics can lead to

unprecedented efficiency in manufacturing. Instant product feedback from customers, captured

through social media and site surveys, can help refine the engineering of a wide spectrum of

products, including automobiles, smartphones, connected home solutions, power tools, and security

systems. With IoT technologies underlying smart and connected cities, cars, homes, manufacturing

supply chains, and consumer devices, a smoothly automated society can emerge.

Ongoing technology advances are delivering the means to build intelligent communication into

homes, factories, automobiles, and lifestyles. Intel and Red Hat offer a path to achieving this vision

by delivering technologies that help manufacturers become more competitive and more efficient.

6 “Factories of the Foreseeable Future Will Still Need Humans.” Intel Free Press. 2015. http://www.intelfreepress.com/news/factories-of-the-future-robots/9760/

Copyright © 2017 Red Hat, Inc. Red Hat, Red Hat Enterprise Linux, the Shadowman logo, and JBoss are trademarks of Red Hat, Inc., registered in the U.S. and other countries. Linux® is the registered trademark of Linus Torvalds in the U.S. and other countries.

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