A network of digital twins visually communicates information about products, manufacturing, supply chain, service, and customers for program, scenario, and role-based analysis, and ultimately better collaboration across your business network.
Powered by Smart machines, the new industrial revolution is changing how machine builders design and manufactures operate today and in the future. To remain competitive and profitable, plants and machines will have to be smarter- better connected, more efficient, more flexible and safe. This paper explains the impact of smart machines on the industrial automation and controls businesses and provides guidance for adapting to a changing industrial landscape.
What is digital transformation? Why is everyone talking about it? And what can it do for me?
Across every level of your company, people are asking themselves these questions. The Global Digital Transformation Benefits Report provides answers. It’s based on data points from over 230 cases of digital transformation from around the world, in data centers, buildings, infrastructure, and industry. The results paint a compelling picture of what digital transformation can do for businesses of all types.
A selection of key findings:
- On average, digital transformation helped our customers save 35% on engineering costs.
- Our customers cut an average of 28% off their energy costs.
- Digital transformation efforts drove productivity gains by an average of 24%.
As advanced technologies catapult manufacturing into the future, find out how to manage the most complex business challenge in generations.
Read this briefing to discover:
• why I4.0 transformation demands a cross-functional approach
• how to get planning for I4.0 transformation the right way round
• how to identify the best opportunities to create value
• critical enablers for I4.0 transformation
• five questions to ask for smarter I4.0.
Manufacturing is constantly evolving
It’s an industry driven by customer demand and technology. And as manufacturing businesses
grow to a certain size, globalization becomes a factor. Interacting with the world offers
lucrative opportunities and creates a higher demand for products and sources of cheaper
raw materials that often impact the entire supply chain.
On-demand Webinar
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products.
Watch this webinar to learn how TIBCO’s Smart Manufacturing solutions can help you overcome these challenges. You will also see a demonstration of TIBCO technology in action around improving yield and optimizing processes while also saving costs.
What You Will Learn:
Applying advanced analytics & machine learning / AI techniques to optimize complex manufacturing processes
How multi-variate statistical process control can help to detect deviations from a baseline
How to monitor in real time the OEE and produce a 360 view of your factory
The webinar also highlights customer case studies from our clients who have already successfully implemented process optimization models.
Spe
A tendência atual na indústria de manufatura se inclina para os produtos feitos sob medida em lotes pequenos e com tempo de entrega reduzido. Com frequência, esta mudança pode alterar a produção, o que acarreta em um maior tempo de inatividade das máquinas, custos de produção mais altos, desperdício de produtos e a necessidade de voltar a produzir os produtos defeituosos.
Assista esse webinar para conhecer como as soluções Smart Manufacturing da TIBCO pode ajudá-lo a superar esses desafios. Você também verá uma demonstração da tecnologia da TIBCO em ação, e como ela melhora os processos de produção e otimização, assim como reduz os custos.
Makino, a leader in manufacturing, required a global network to transfer massive amounts of data from their HQ to regional tech departments. Learn why Makino replaced their MPLS circuits with Aryaka.
For manufacturers, the transition to Industry 4.0 has meant the accumulation of data, massive data. Indeed, the accumulation, distribution and evaluation of data are driving virtually every decision on the manufacturing plant floor and supply chains shaping those decisions. Given the striking fact that ninety percent of the data in the world has been created over the last two years, it isn’t surprising that more than 60 percent of large companies report having a Chief Data Officer. But what has opened the floodgates to this deluge of information in manufacturing? Ordinary sensors have been transformed into smart sensors with the advent of IoT technologies and are being deployed by manufacturers along every step of the supply chain. Sensors are now detecting everything from when a piece of equipment will need maintenance to controlling energy costs inside factories.
Manufacturing in North America is on the rebound. Part of this is driven by strong economic growth in most global markets, and part by the fact that manufacturers in North America continue to innovate. Looking to the future, manufacturers will be investing in a wide range of disruptive technologies that fuel this innovation. This report examines the trends, attitudes and behaviors toward these disruptive technologies that are determining the present and future of Manufacturing.”
ABB leads one of the most complex industries on the planet; one that is under intense transformation. They are succeeding by using digital technology to fast track their supply chain and manufacturing process. Watch this webinar to learn how ABB is accelerating digital transformation through an API strategy with MuleSoft.
Key takeaways
How ABB leverages reusability and automation to streamline their complex manufacturing processes.
Why MuleSoft's C4E (Center for Enablement) is a perfect fit for ABB.
How ABB drives digital innovation through the adoption of API-led connectivity.
Presented by:
Szymon Myslinski, Global IT Department Manager for Innovation, ABB
Gabriel Rauchenbichler, DACH Marketing Lead, MuleSoft
An Airbus A380 is made up of 7 million different pieces with each piece coming from different parts of the world including Germany, Spain, UK, and France. Assembling the final plane requires support from various IT and operations teams. Leveraging legacy supply chain technology to support on-time arrival and coordination of parts was incredibly challenging, and only worsened with the need for new parts and pressure of massive growth. In order to scale, Airbus needed to think through how to transform and digitize its global supply chain.
Hear from Airbus and how they are leveraging Anypoint Platform to enhance their production efficiency, and ultimately, drive innovation throughout the entire supply chain.
In this webinar, you will learn how to:
Leverage APIs to support a complex manufacturing process with multiple global partners.
Foster collaboration amongst siloed IT teams through API reuse and API-led connectivity.
Reduce time to market by providing end-to-end visibility acros
Lenovo has proven our ability to solve challenges faced by higher education and gives you the tools needed to lead the way forward.•Comprehensive portfolio from leading ThinkPadmobility to System X infrastructure•Partnerships with leading service and solutions providers•Deep and comprehensive product security•US headquarters and manufacturingLenovo builds for durability and reliability, ensuring that your IT dollars are always well spent. Our end-to-end solutions can help expand your impact and our comprehensive technology portfolio will empower your institution to invest and innovate with confidence.WHY LENOVO FOR HIGHER EDUCATION
Lenovo has proven our ability to solve challenges faced by higher education and gives you the tools needed to lead the way forward.
Comprehensive portfolio from leading ThinkPad mobility to System X infrastructure
Partnerships with leading service and solutions providers
Deep and comprehensive product security
US headquarters and manufacturing
Lenovo builds for durability and reliability, ensuring that your IT dollars are always well spent. Our end-to-end solutions can help expand your impact and our comprehensive technology portfolio will empower your institution to invest and innovate with confidence.
Historically, businesses and organizations have been using 3D printing in one centralized lab such as a rapid prototyping (RP) shop or manufacturing lab. As 3D printing has become more affordable and easier to use, office-friendly 3D printers are now appearing within arm’s reach of designers and engineers.
Distributed 3D printing – or point-of-use 3D printing – refers to placing (or distributing) 3D printing systems and post-processing equipment throughout the organization in the spaces where designers and engineers are doing most of their work. Having 3D printers close at hand allows for real-time design testing, adjusting and iteration that’s often desired in the early stages of the design cycle.
This e-Book explores:
When to use distributed 3D printing
4 questions to consider
How to choose a 3D printer
Thanks in part to its leading business climate, workforce, and trade and transportation infrastructure, Florida ranks among the nation’s top 10 states for manufacturing.
Although data and analytics are highlighted throughout the popular press as well as in trade publications, too many managers think the value of this data processing is limited to a few numerically intensive fields such as science and finance. In fact, big data and the insights that emerge from analyzing it will transform every industry, from “precision farming” to manufacturing and construction. Governments must also be alert to the value of data and analytics as the enabler for smart cities. Institutions that master available data will leap ahead of their less statistically adept competitors through many advantages: finding hidden opportunities for efficiency, using data to become more responsive to clients, and developing entirely new and unanticipated product lines. The average time spent by most companies on the S&P 500 Index has decreased from an average of 60 to 70 years to only 22 years. There are winners and losers in the changes that come with the evolution of both technology
This white paper provides manufacturers with an outline of the latest developments in lean machining and how they are helping to achieve the ideal of Lights Out machining.
"Extracting value from data is central to the digital
transformation required for businesses to succeed
in the decades to come. Buried in data are insights
that reveals what your customers need and how
they want to receive it, how sales, manufacturing,
distribution, and other aspects of business operations
are functioning, what risks are arising to threaten
the business, and more. That insight empowers your
businesses to reach new customers, develop and
deliver new products, to operate more efficiently
and more effectively, and even to develop new
business models. "
"Extracting value from data is central to the digital
transformation required for businesses to succeed
in the decades to come. Buried in data are insights
that reveals what your customers need and how
they want to receive it, how sales, manufacturing,
distribution, and other aspects of business operations
are functioning, what risks are arising to threaten
the business, and more. That insight empowers your
businesses to reach new customers, develop and
deliver new products, to operate more efficiently
and more effectively, and even to develop new
business models. "
Intel's factories rely on thousands of PCs for manufacturing automation; keeping these PCs up and running can prevent expensive downtime. To manage these systems, Intel IT is using the Intel vPro platform's hardware- based feature, Intel Active Management Technology (Intel AMT), to help reduce production downtime caused by PC incidents by 87.5 percent.
The technology market is giving significant attention to Big Data and analytics as a way to provide insight for decision making support; but how far along is the adoption of these technologies across manufacturing organizations? During a February 2013 survey of over 100 manufacturers we examined behaviors of organizations that measure effective decision making as part of their enterprise performance management efforts. This Analyst Insight paper reveals the results of this survey.
IoT has proven its value in the private sector. Ever since the 1980’s, US manufacturing has undergone a dramatic transition based on IoT. Machines that where once manually calibrated and maintained began to be controlled by specialized computers. These computers were able to quickly recalibrate tools which allowed manufactures to produce smaller batches of parts, but were also often locked into proprietary computing languages and architectures.
