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: Dassault Systèmes     Published Date: Nov 11, 2019
"The term Value Network describes enterprises that truly connect into a network of partners that collaborate and communicate with lightning speed and agility. The supply chain is now overshadowed by interconnected Value Networks. One example for Value networks applications is the digital twin, where the physical environment is replicated in a virtual model to harmonize new product design, process design and manufacturing design with planning, logistics, service and execution. When the virtual world and real world truly work together, we are able to speed up decision-making, reduce risk and cost, deliver great customer experiences, and minimize waste to make businesses more sustainable. Dassault Systèmes DELMIA,powered by the 3DEXPERIENCE platform, delivers the solutions to industries and service providers to transform their operations and orchestrate their entire Value Network."
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Dassault Systèmes
Published By: Dassault Systèmes     Published Date: Nov 11, 2019
What challenges do companies have to face today? How can they successfully digitize their production? Not only connectivity, artificial intelligence and flexible automation play an important role. When it comes to the strategy and implementation of digital manufacturing, the same missteps are often made. In order to capture and preserve the value of digital technologies, there are six essential factors to consider. Learn more and download the McKinsey report "6 factors for a successful digital manufacturing transformation”.
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Dassault Systèmes
Published By: Dassault Systèmes     Published Date: Nov 11, 2019
Getting transformation right in today's competitive world is critical, and one key factor is the ability to manage and use data to achieve enterprise Strategic Objectives. A Digital Twin is often at the very heart of the metamorphosis. Every single product has definable characteristics in the real world, and the Digital Twin combines and portrays the attributes virtually. In a perfect world, the Digital Twin would capture every single attribute of a product or system and its processes. In reality, the technology is still evolving to accomplish this vision and we're not there yet. That doesn't mean manufacturers can't proceed with and derive tremendous value from a simpler virtual model.
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Dassault Systèmes
Published By: Dassault Systèmes     Published Date: Nov 11, 2019
Learn about challenges, solutions and benefits of 7 DELMIA customers from different industries. Delivering quality products is important in all industries, but it is especially critical where consumer health and safety are affected. Automotive is one of those industries. That’s why Autoliv, a supplier of airbags and safety systems to all of the global automotive OEM’s, wanted to better manage quality and material flows, achieve greater traceability, and drive continuous improvement across its manufacturing plants. They have chosen DELMIA Apriso as their manufacturing execution platform. Autoliv has now an enterprise solution to streamline production operations from planning, to inventory and material flow management, to traceability and continuous improvement.
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Dassault Systèmes
Published By: Dassault Systèmes     Published Date: Nov 12, 2019
The Life Sciences industry has changed significantly over the past 10 years. With a view to developing new, more effective treatments, industry leaders are exploring new therapeutic areas and approaches like biologics and precision medicine. To address this shift, pharmaceutical and medical devices manufacturers look to connect systems, people and data - characterized by more predictive and adoptive facilities that leverage machine learning, 3D modeling, Industrial Internet of Things (IIOT), digital twin, and augmented reality. This eBook explains the main challenges of manufacturing and explores 5 manufacturing experiences that disrupt the future of manufacturing in the Life Sciences industry.
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iiot, medical device, life sciences, machine learning, 3d modeling, digital twin
    
Dassault Systèmes
Published By: Lenovo - StudioNorth     Published Date: Jan 13, 2020
In 2020, some 30.7 billion IoT devices are expected to be active in the world. An estimated 40% of IoT devices will be used in healthcare.1 Yet connected health represents only 30.3% of connected devices, according to Intel.®2 What accounts for the difference? Unlike other industries leading the adoption of IoT, such as manufacturing, retailing, and AE&C (architecture, engineering, and construction), healthcare systems and hospitals embrace two categories of connected devices: IoT (Internet of Things) and IoMT (Internet of Medical Things).
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Lenovo - StudioNorth
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: 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: HERE Technologies     Published Date: Jan 14, 2020
In this era of digital transformation, supply chains are ripe for optimization – but no one company can solve the optimization challenge on its own. Only six percent of companies believe they possess complete supply chain visibility and seventy-two percent are striving to gain better visibility. Lack of visibility is a major factor inhibiting a supply chain leader’s ability to improve efficiency and reduce costs. Where else is there room for enhancement? In this eBook, you will gain insight from five experts leading the charge in the manufacturing, technology, global trade and transportation industries as they share their best practices and the solutions they deem necessary for success in today's rapidly evolving market. Supply chains are ready for disruption, are you?
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HERE Technologies
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
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
Published By: Cisco     Published Date: Jul 30, 2015
Build smarter
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manufacturing, business optimization
    
Cisco
Published By: Cisco     Published Date: Nov 17, 2015
IoT describes a system where items in the physical world, and sensors within or attached to these items, are connected to the Internet via wireless and wired Internet connections. These sensors can use various types of local area connections such as RFID, NFC, Wi-Fi, Bluetooth, and Zigbee. Sensors can also have wide area connectivity such as GSM, GPRS, 3G, and LTE.
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iot, internet of things, data management, business efficiency, manufacturing process, customer satisfaction, business intelligence, automation
    
Cisco
Published By: Cisco     Published Date: Jun 21, 2016
Industrial enterprises around the world are retooling their factories with advanced technologies to boost manufacturing flexibility and speed, achieving new levels of overall equipment effectiveness (OEE), supply chain responsiveness, and customer satisfaction in the process. This renaissance reflects very real pressures industry players face today. For years, traditional factories have been operating at a disadvantage, impeded by production environments that are “disconnected”—at the very least strictly gated—to corporate business systems, to supply chains, and to customers and partners.
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Cisco
Published By: Cisco     Published Date: Jun 21, 2016
Join us as senior executives from Cisco, Rockwell Automation, Steelcase, and Harley Davidson explore:
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Cisco
Published By: Cisco     Published Date: Jun 21, 2016
Many manufacturers are pursuing the immense business benefits available from digitizing and connecting their factories. Major gains in overall equipment effectiveness (OEE), reduced downtime, and manufacturing flexibility can be achieved with a factory that is digitized and connected. By providing visibility to machines and processes, manufacturers can anticipate issues that create unplanned downtime. By putting in place a secure, converged and wireless-ready network, manufacturers can have a platform that enables the agility to quickly start up new machines, cells, and lines, and rapidly deliver new products.
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Cisco
Published By: SAS     Published Date: Jan 17, 2018
The Internet of Things can bring big benefits. But what exactly is IoT, and how are different industries taking advantage of it? This TDWI e-book explores in detail what IoT and the Industrial IoT (IIoT) do for retailers, the automotive industry, state and local governments working with utilities firms, and the manufacturing industry. Common themes include connectedness, data-driven insights, predictive capabilities and transformation.
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SAS
Published By: Epicor     Published Date: Sep 20, 2017
Selecting the right enterprise resource planning (ERP) software often poses a challenge for many businesses in the manufacturing industry. With so many options out there, it’s difficult to break down each potential application and choose the one that’s the best fit for your business. This Gartner report explains how ERP selection teams can come to a consensus and establish an understanding of all options by jointly populating and prioritizing a hierarchical, weighted ERP evaluation model. A structured evaluation model helps put all the cards on the table by explaining and justifying to internal stakeholders, external auditors, and vendors how and why an ERP software decision was made. Read the Gartner report and establish your own ERP evaluation model to see if the Epicor ERP solution is the right fit for your manufacturing business.
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Epicor
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