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Published By: TIBCO Software GmbH     Published Date: Jan 15, 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 no 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 GmbH
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
By processing real-time data from machine sensors using arti?cial 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 GmbH
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
Gradient Boosting Machine (GBM) modeling is a powerful machine learning technique for advanced root cause analysis in manufacturing. It will uncover problems that would be missed by regression-based statistical modelling techniques and single tree methods, but can easily be used by analysts with no expertise in statistics and modelling to solve complex problems. It is an excellent choice for advanced equipment commonality analysis and will detect interactions between process factors (for example, machines, recipes, process dates) that are responsible for bad product. It can also be used to identify complex nonlinear relationships and interactions between product quality measurements (for example, yield, defects, field returns) and upstream measurements from the product, process, equipment, component, material, or environment.
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TIBCO Software GmbH
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
MANUFACTURING: AN INDUSTRY DRIVEN BY DISRUPTION A leading manufacturer today can be an also-ran next year. Disruption is the new normal. Maintain the status quo at your peril because no manufacturer is safe from: •? Innovative new products that can radically shift demand •? Falling prices that relentlessly pressure costs •? Dynamic business models where yesterday’s partner can become tomorrow’s competitor Turning disruption into your advantage requires continuous innovation and optimization, driven by data.
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TIBCO Software GmbH
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
Whether you know it as Industry 4.0, the 4th Industrial Revolution, or Smart Industry, Manufacturing is going through a deep transformation, with changes that are centered around digitalization. While most industries are already on this digitalization path, the disruption is more visible and pronounced in manufacturing because it is expanding virtual data and processes into environments that have been fundamentally about physical products. This transformation has already started, and its impact is expected to be massive. Technical, economic, and social changes are expected across the whole manufacturing ecosystem, with jobs shifting from offshoring back to nearshoring. Strong technology elements driving this digital revolution include 3D printing, robotizing and automation, smart factory with IoT and machine learning, and supply chain digitization. Their impact is profound.
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TIBCO Software GmbH
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
Expanding analytic capabilities are critical to digitizing the business, optimizing costs, accelerating innovation, and surviving digital disruption
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TIBCO Software GmbH
Published By: TIBCO Software GmbH     Published Date: Jan 22, 2019
The Internet of Things (IoT) didn’t just connect everything everywhere; It laid the groundwork for the next industrial revolution. Connected devices sending data was only one achievement of the IoT—but one that helped solve the problem of data spread across countless silos that was not collected because it was too voluminous and/or too expensive to analyze. Now, with advances in cloud computing and analytics, cheaper and more scalable factory solutions are available. This, in combination with the cost and size of sensors continuously being reduced, supplies the other achievement: the possibility for every organization to digitally transform. Using a Smart Factory system, all relevant data is aggregated, analyzed, and acted upon. Sensors, devices, people, and processes are part of a connected ecosystem providing: • Reduced downtime • Minimized surplus and defects • Deep insights • End-to-end real-time visibility
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TIBCO Software GmbH
Published By: Intel     Published Date: Dec 13, 2018
In today’s world, advanced vision technologies is shaping the next era of Internet of Things. However, gathering streaming video data is insufficient. It needs to be timely and accessible in near-real time, analyzed, indexed, classified and searchable to inform strategy—while remaining cost-effective. Smart cities and manufacturing are prime examples where complexities and opportunities have been enabled by vision, IoT and AI solutions through automatic meter reading (AMR), image classification and segmentation, automated optical inspection (AOI), defect classification, traffic management solution—just to name a few. Together, ADLINK, Touch Cloud, and Intel provide a turnkey AI engine to assist in data analytics, detection, classification, and prediction for a wide range of use cases across a broad spectrum of sectors. Learn more about how the Touch Cloud AI brings cost savings, operational efficiency and a more reliable, actionable intelligence at the edge with transformative insi
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Intel
Published By: Intel     Published Date: Dec 13, 2018
Robots play a key role in achieving manufacturing efficiencies and reducing labor intensive operations across diverse industries. Traditional machine vision has its limitations, however—typically, it can only conduct defect detection and classification based on fixed rules and work in fixed environments. To add on, the complexity of robotic system design poses challenges for many manufacturers to identify and integrate subsystems from multiple vendors. The future of robot and machine solutions is a production environment where devices, machines, robots, and sensors are interoperable. Find out how NexCOBOT integrates AI-driven vision capabilities into robotics to improve quality and accuracy over traditional machine vision—as well as providing an open and modular solution for users to develop a robot control system that best fits their particular application requirements.
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Intel
Published By: Epicor     Published Date: Jan 09, 2019
Manufacturing Change: The New Realities of Innovation and Growth Change — and the innovation it creates — increasingly defines the winners and losers in today’s manufacturing industry:1
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Epicor
Published By: Epicor     Published Date: Jan 09, 2019
To run a successful operation, every manufacturing organization needs a modern enterprise resource planning (ERP) system to boost efficiencies and drive down costs. However, with so many options available, it can be difficult to make the right choice. If you’re wondering whether a generic or industry-specific solution is the best fit for your business—or if you’re wondering how to even start the ERP selection process—you’re not alone. In this white paper, you’ll discover ways to simplify your ERP selection process, and you’ll learn the differences between industry-specific and generic ERP solutions.
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Epicor
Published By: Epicor     Published Date: Jan 09, 2019
Over the last several years, manufacturers have embraced cloud applications. According to one estimate, between 2013 and 2023 the percentage of manufacturing and distribution software delivered via software as a service (SaaS) will increase from 22% to 45%.1
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Epicor
Published By: Epicor     Published Date: Jan 09, 2019
For some, “Industry 4.0” and “digital transformation” are synonymous—alternative terms for the fundamental business changes facing manufacturers. For others, the former refers more narrowly to a set of manufacturing technologies at the heart of a wider digital transformation.
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Epicor
Published By: Epicor     Published Date: Jan 09, 2019
If you’re a manufacturing business in the market for an enterprise resource planning (ERP) solution, this study is for you .
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Epicor
Published By: Epicor     Published Date: Jan 09, 2019
Behind the scenes of the world’s leading industrial and manufacturing companies, a profound digital transformation is now underway .1 As with any profound transformation, the opportunities for competitive advantage and growth are enormous, but so are the challenges . How do you determine what your next digital transformation steps should be? How do you position your manufacturing business to take the next step—and the one after that? This eBook will help you answer these questions . In it we will: XX Introduce the role of visibility in digital transformation XX Consider three key trends that are shaping the future of manufacturing by delivering the visibility that enables transformation: – Growth of the Internet of Things (IoT) – The advance of analytics – The migration of applications to the cloud XX Identify the traits you need in your core systems to take advantage of these trends—giving you the visibility to identify and take the steps that will help transform your business into
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Epicor
Published By: Forcepoint     Published Date: Jan 03, 2019
Forrester study demonstrates positive ROI with Forcepoint Web and Email Security Cloud solutions The Total Economic Impact™ Of Forcepoint Web Security and Email Security, a commissioned study conducted by Forrester Consulting on behalf of Forcepoint, shows how a prominent manufacturing company experienced a ROI increase with Forcepoint after switching from another cloud vendor. Download the study to learn how this company achieved over a three year period!
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web security, cloud security, email security, web security cloud, email security cloud, digital transformation, branch security
    
Forcepoint
Published By: Forcepoint     Published Date: Jan 07, 2019
Forrester study demonstrates positive ROI with Forcepoint Web and Email Security Cloud solutions The Total Economic Impact™ Of Forcepoint Web Security and Email Security, a commissioned study conducted by Forrester Consulting on behalf of Forcepoint, shows how a prominent manufacturing company experienced a ROI increase with Forcepoint after switching from another cloud vendor. Download the study to learn how this company achieved over a three year period!
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web security, cloud security, email security, web security cloud, email security cloud, digital transformation, branch security
    
Forcepoint
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: Jan 10, 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: Gigaom     Published Date: Jan 31, 2019
In this webinar we will discuss how leading entities are modernizing manufacturing with mobile and IoT.
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samsung, mobile manufacturing, manufacturing, internet of things, iot, ai manufacturing, artificial intelligence, business intelligence, business management, information management, productivity, manufacturing execution systems
    
Gigaom
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: 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: 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, business insights, architecture, business intelligence, big data tools, it management, knowledge management
    
SAP
Published By: Hewlett Packard Enterprise     Published Date: Oct 24, 2017
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.
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cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
Hewlett Packard Enterprise
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