manufacturing

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Published By: IBM     Published Date: Apr 06, 2014
The world’s water system is vulnerable. Essential for health, food, energy, manufacturing and transportation, the global water system is suffering from stress, deteriorating quality, aging and insufficient infrastructure. Managing this critical resource requires a smarter approach to deliver improved outcomes across the water management lifecycle. Using information and analytics, governments, cities, utilities and businesses must take immediate action to deploy a smarter approach to water management to solve the world’s water crisis.
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IBM
Published By: Schneider Electric     Published Date: Nov 04, 2019
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%.
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digital transformation, digital transformation in business, digital transformation in healthcare, iot, data centers, buildings, infrastructure, industry
    
Schneider Electric
Published By: KPMG     Published Date: Jun 10, 2019
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.
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KPMG
Published By: Sage     Published Date: Oct 16, 2019
Understanding food and beverage manufacturing compliance and traceability
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Sage
Published By: Sage     Published Date: Oct 17, 2019
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.
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Sage
Published By: TIBCO Software     Published Date: Jul 22, 2019
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. To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support. At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
TIBCO® Connected Intelligence for Smart Factory Insights By processing real-time data from machine sensors using artificial intelligence and machine learning, it's possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield.
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
Today, you can improve product quality and gain better control of the entire manufacturing chain with data virtualization, machine learning, and advanced data analytics. With all relevant data aggregated, analyzed, and acted on, sensors, devices, people, and processes become part of a connected Smart Factory ecosystem providing: •? Increased uptime, reduced downtime •? Minimized surplus and defects •? Better yields •? Reduced cost due to better quality •? Fewer deviations and less non-conformance
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
Over the past decade there has been a major transformation in the manufacturing industry. Data has enabled a paradigm shift, with real-time IoT sensor data and machine learning algorithms delivering new insights for process and product optimization. Smart Manufacturing, also known as Industry 4.0, has laid the groundwork for the next industrial revolution. Using a smart factory system, all relevant data is aggregated, analyzed, and acted upon. We call this Manufacturing Intelligence, which gives decision-makers a competitive edge to: Digitize the business Optimize costs Accelerate innovation Survive digital disruption Watch this webinar to understand use cases and their underlying technology that helped our customers become smart manufacturers.
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
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
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TIBCO Software
Published By: Avetta     Published Date: Sep 17, 2019
In the beginning of 2019, a National Safety Council (NSC) study revealed that for the first time in US recorded history, the odds of dying from an opioid overdose (1:96) surpassed those of dying in an auto accident (1:103). As a result, opioid overdoses are now the number one cause of preventable injury deaths in the United States. The growing trend of opioid-related workplace incidents is a major concern for supply chains across the world. In fact, a recent study by Massachusetts Department of Public Health shows higher opioid overdose incidents occurring in industries that have a higher chance of worker-related injury. Among these, construction and manufacturing are the two industries most heavily affected. This whitepaper discusses tips for dealing with the opioid epidemic and gives clarity around OSHA drug testing regulations.
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Avetta
Published By: TIBCO Software     Published Date: Sep 16, 2019
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.
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TIBCO Software
Published By: Aryaka Networks     Published Date: Sep 06, 2018
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.
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Aryaka Networks
Published By: Panasonic     Published Date: Oct 01, 2019
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.
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Panasonic
Published By: Panasonic     Published Date: Oct 01, 2019
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.”
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Panasonic
Published By: Lenovo and Intel     Published Date: Oct 16, 2019
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
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Lenovo and Intel
Published By: Lenovo and Intel     Published Date: Oct 29, 2019
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.
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Lenovo and Intel
Published By: ASME     Published Date: Oct 22, 2019
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
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ASME
Published By: Florida Enterprise     Published Date: Apr 21, 2016
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.
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enterprise florida, florida, manufacturing, business climate, industry, talent, workforce, cost competitive environment
    
Florida Enterprise
Published By: Zaloni     Published Date: Apr 23, 2019
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
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Zaloni
Published By: OPTIS     Published Date: Sep 22, 2015
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.
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OPTIS
Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
"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. "
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Nov 01, 2019
"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. "
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Hewlett Packard Enterprise
Published By: Intel Corp.     Published Date: May 15, 2018
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.
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Intel Corp.
Published By: SAP     Published Date: May 18, 2014
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.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
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