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1,191 case studies
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GPRS Mobile Network for Smart Metering
GPRS Mobile Network for Smart Metering
GPRS Mobile Network for Smart Metering
Vodafone
Around the world, the electricity supply industry is turning to ‘smart’ meters to lower costs, reduce emissions and improve the management of customer supplies. Smart meters collect detailed consumption information and using this feedback consumers can better understand their energy usage which in turn enables them to modify their consumption to save money and help to cut carbon emissions. A smart meter can be defined in many ways, but generally includes an element of two-way communication between the household meter and the utility provider to efficiently collect detailed energy usage data. Some implementations include consumer feedback beyond the energy bill to include online web data, SMS text messages or an information display in consumers’ premises. Providing a cost-effective, reliable communications mechanism is one of the most challenging aspects of a smart meter implementation. In New Zealand, the utilities have embraced smart metering and designed cost effective ways for it to be implemented. The New Zealand government has encouraged such a move to smart metering by ensuring the energy legislation is consistent with the delivery of benefits to the consumer while allowing innovation in this area. On the ground, AMS is a leader in the deployment of smart metering and associated services. Several of New Zealand’s energy retailers were looking for smart metering services for their residential and small business customers which will eventually account for over 500,000 meters when the multi-year national deployment program is concluded. To respond to these requirements, AMS needed to put together a solution that included data communications between each meter and the central data collection point and the solution proposed by Vodafone satisfied that requirement.


Industries: Energy
Functions: Maintenance
Capabilities: Asset Tracking & MonitoringData Acquisition & ManagementEnergy Management
Hardware:
Software:
Services:
New Business Models in Maintenance
New Business Models in Maintenance
New Business Models in Maintenance
Auvesy
Everything that can be automated will be automated, and it is up to us, as people, to learn how to adjust to this development With the advent of the networking of processes and the Industrial Internet of Things, IT has further cemented its place in the production facilities of modern enterprises and is now set to revolutionise the way in which maintenance is approached. The Chamber of Industry and Commerce has its hands full when it comes to making sure that vocational and training concepts both accompany and keep up with these developments. Many employees are anxious, believing that the ongoing digitalisation of the world of work will result in greater job insecurity; a general misconception which regrettably continues to abound. The fact that digitalisation is set to provide both new opportunities and challenges, and that not every workplace is in danger, is often conveniently overlooked in the surrounding hype. It’s as if history is due to repeat itself every time any major industrial revolution occurs. Production workers begin to fear for their jobs and fear of change in the workplace remains high. Nevertheless, production is subject to constant change and we must all learn to adapt. Today, it is IT, in the wake of the IIoT, which stands to replace traditional rosters and blackboards. What’s more, the advent of employees directly communicating with machines via speech in order to reset them is also fast approaching. Voice-control has already gained general acceptance, but an even greater degree of trust in technology is required. If no changes are made to the way you work, the sudden advent of digitalisation may make it appear as though things are out of place or even missing. That isn’t to suggest that there was a time in which IT didn’t exist in the realm of production; such a statement wouldn’t be true, as evidenced by the fact that, in times past, maintenance staff spent an inordinate amount of time making their rounds accompanied by a programmer’s notebook, which had different editors to program components and helped to facilitate communication between human and machine. Nevertheless, the fact remains that the networking of processes continues to generate considerable uncertainty. Customised production The introduction of online marketing has resulted in a large percentage of industrial production being tailored to fit the customer. Affiliate marketing allows you to find out much more about your customers, their behaviour as consumers, and the underlying motives that drive their decision making. Thus, in certain sectors, it no longer makes sense to produce products, place them in storage units, and then wait until they are sold off. Instead, it is becoming the norm to make predictions according to customer decisions or trends. By using information gathered from CRM systems, customer feedback and digital sales statistics, it is possible to determine the colours, form, and features that a customer would desire a future product to have. It is also possible to produce products in such a way that the targeted customer immediately purchases them, thus resolving the need to store the products away until such a time as they are sold. Customised production places high demands on maintenance. Common topics that are frequently brought up in addition to classical and continual improvement processes include: - Preventive Maintenance - Corrective Maintenance - Condition-related maintenance The umbrella term ‘predictive maintenance’ is often used to encompass the topics listed above. Predictive maintenance is a strategy that is based on real-time data taken from production. It permits you to quickly recognise and respond to problems or results which were not visible in the past, but which are now, thanks to new advances in technology (e.g. condition monitoring), immediately detectable. What does the process of networking involve? When surveying a newly digitalised production hall for the first time, the first difference that one notices is that a specific IP address has been assigned to all automated devices connected to the network, which allows for data to be received and sent. These automated devices can be completely different from each other. It does not matter. What does matter (where plant or machine controllers are involved) is the PLC (programmable logic controller). A digital network topology looks as such: sensors, drives, and actuators move things around; robots weld, solder, press and pack; and HMI/SCADA systems supervise the processes. Then there are presses, drills, machine tools, milling processes, and much more. Generally, there is a different editor used to program each type of automated device type. There are very few uniform standards when it comes to software editors and thus automation engineers cannot use the same software to program a wide range of devices. Visual programming languages in DIN EN 61131-3 are regulated, however, each editor has its own special features and they are seldom compatible. Editors continue to be further developed if only for the purpose of continuously updating them to support current operating systems. Software developers are eager to offer their customers ongoing updates, the reason for which lies in the fact that customers do not have any reason to pay for software editors that have reached the end of their development. They will only pay for new developments. For maintenance staff, this trend necessitates them to undergo constant further training in order to understand and implement the latest functions and features brought out by the software developer. In that regard, it is interesting to note that, even as the number of people present in the production hall continues to decline, the number of maintenance staff continues to grow. This stands in stark contrast to the hype about the human factor becoming an obsolete element when it comes to production; on the contrary, the human factor will continue to grow in importance, especially when it comes to fixing unplanned malfunctions and errors that may occur to the complex machines and systems during production. All visions involving the future state of digital production thus have one thing in common and that is the fact that people will continue to play a vital role: the ability to understand the complex connections between numerous machines, controllers and programs, will continue to be a sure-fire guarantee of success.


Industries: Automotive
Functions: Maintenance
Capabilities: Data Acquisition & ManagementPredictive MaintenanceRemote Access & Control
Hardware:
Software:
Services:
Refinery Saves Over $700,000 with Smart Wireless
Refinery Saves Over $700,000 with Smart Wireless
Refinery Saves Over $700,000 with Smart Wireless
Emerson
One of the largest petroleum refineries in the world is equipped to refine various types of crude oil and manufacture various grades of fuel from motor gasoline to Aviation Turbine Fuel. Due to wear and tear, eight hydrogen valves in each refinery were leaking, and each cost $1800 per ton of hydrogen vented. The plant also had leakage on nearly 30 flare control hydrocarbon valves. The refinery wanted a continuous, online monitoring system that could catch leaks early, minimize hydrogen and hydrocarbon production losses, and improve safety for maintenance.


Industries: Energy
Functions: Maintenance
Capabilities: Asset Tracking & MonitoringEnergy Management
Hardware:
Services:
Smart Street Light Network (Copenhagen)
Smart Street Light Network (Copenhagen)
Smart Street Light Network (Copenhagen)
Silver Spring Networks
Key stakeholders are taking a comprehensive approach to rethinking smart city innovation. City leaders have collaborated through partnerships involving government, research institutions and solution providers. The Copenhagen Solutions Lab is one of the leading organizations at the forefront of this movement. By bringing together manufacturers with municipal buyers, the Copenhagen Solutions Lab has catalyzed the development and deployment of next-generation smart city innovations. Copenhagen is leveraging this unique approach to accelerate the implementation of smart city solutions. One of the primary focus areas is LED street lighting.


Industries: Construction & Buildings
Functions: Maintenance
Capabilities: Energy ManagementEnvironmental MonitoringRemote Access & Control
Hardware:
Software:
Services:
Aircraft Predictive Maintenance and Workflow Optimization
Aircraft Predictive Maintenance and Workflow Optimization
Aircraft Predictive Maintenance and Workflow Optimization
SparkCognition
First, aircraft manufacturer have trouble monitoring the health of aircraft systems with health prognostics and deliver predictive maintenance insights. Second, aircraft manufacturer wants a solution that can provide an in-context advisory and align job assignments to match technician experience and expertise.


Industries: Transportation
Functions: Maintenance
Capabilities: Overall Equipment EffectivenessPredictive Maintenance
Software:
Predictive Maintenance for Industrial Chillers
Predictive Maintenance for Industrial Chillers
Predictive Maintenance for Industrial Chillers
SmartLog
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.


Industries: Equipment & Machinery
Functions: Maintenance
Capabilities: Facility Climate ControlPredictive MaintenanceRemote Access & Control
Software:
Services:
Leading Tools Manufacturer Transforms Operations with IoT
Leading Tools Manufacturer Transforms Operations with IoT
Leading Tools Manufacturer Transforms Operations with IoT
Cisco
Stanley Black & Decker required transparency of real-time overall equipment effectiveness and line productivity to reduce production line change over time.The goal was to to improve production to schedule, reduce actual labor costs and understanding the effects of shift changes and resource shifts from line to line.


Industries: Equipment & Machinery
Functions: Quality Assurance
Capabilities: Overall Equipment EffectivenessQuality Assurance & Control
Hardware:
Software:
Services:
DeviceLynk Delivers Customized IIoT Solution
DeviceLynk Delivers Customized IIoT Solution
DeviceLynk Delivers Customized IIoT Solution
ThingWorx
Previously to working with ThingWorx, DeviceLynk built an IIoT platform but found it lacked scalability. They needed something to capture and handle data from an unlimited amount of devices and customers.


Industries: Equipment & Machinery
Functions: Product Development
Capabilities: Asset Tracking & MonitoringOverall Equipment EffectivenessPredictive Maintenance
Software:
Services:
Remote Wellhead Monitoring
Remote Wellhead Monitoring
Remote Wellhead Monitoring
MOXA
Each wellhead was equipped with various sensors and meters that needed to be monitored and controlled from a central HMI, often miles away from the assets in the field. Redundant solar and wind generators were installed at each wellhead to support the electrical needs of the pumpstations, temperature meters, cameras, and cellular modules. In addition to asset management and remote control capabilities, data logging for remote surveillance and alarm notifications was a key demand from the customer. Terra Ferma’s solution needed to be power efficient, reliable, and capable of supporting high-bandwidth data-feeds. They needed a multi-link cellular connection to a central server that sustained reliable and redundant monitoring and control of flow meters, temperature sensors, power supply, and event-logging; including video and image files. This open-standard network needed to interface with the existing SCADA and proprietary network management software.


Industries: Construction & Buildings
Functions: Maintenance
Capabilities: Asset Tracking & MonitoringData Acquisition & ManagementRemote Access & Control
Hardware:
Services:
KSP Steel Decentralized Control Room
KSP Steel Decentralized Control Room
KSP Steel Decentralized Control Room
DAQRI
While on-site in Pavlodar, Kazakhstan, the DAQRI team of Business Development and Solutions Architecture personnel worked closely with KSP Steel’s production leadership to understand the steel production process, operational challenges, and worker pain points.


Industries: Mining
Functions: Maintenance
Capabilities: Data Acquisition & ManagementData VisualizationOverall Equipment Effectiveness
Hardware:
Software:
Services:
Honeywell - Tata Chemicals Improves Data Accessibility with OneWireless
Honeywell - Tata Chemicals Improves Data Accessibility with OneWireless
Honeywell - Tata Chemicals Improves Data Accessibility with OneWireless
Honeywell
Tata was facing data accessibility challenges in the cement plant control room tapping signals from remote process control areas and other distant locations, including the gas scrubber. Tata needed a wireless solution to extend its control network securely to remote locations that would also provide seamless communication with existing control applications.


Industries: Chemicals
Functions: Maintenance
Capabilities: Data Acquisition & ManagementData VisualizationOverall Equipment Effectiveness
Hardware:
Software:
Services:
IoT Solutions for Smart City‎ | Internet of Things Case Study
IoT Solutions for Smart City‎ | Internet of Things Case Study
IoT Solutions for Smart City‎ | Internet of Things Case Study
Altizon Systems
There were several challenges faced: It is challenging to build an appliance that can withstand a wide range of voltage fluctuations from as low at 90v to as high as 320v. Since the device would be installed in remote locations, its resilience was of paramount importance. The device would have to deal with poor network coverage and have the ability to store and re-transmit data if networks were not available, which is often the case in rural India. The device could store up to 30 days of data.


Industries: Equipment & Machinery
Functions: Quality Assurance
Hardware:
Software:
Services:
IoT based milk procurement solution- SmartMoo smartAMCU
IoT based milk procurement solution- SmartMoo smartAMCU
IoT based milk procurement solution- SmartMoo smartAMCU
Stellapps Technologies
The customer wanted to effectively monitor all their milk procurement centers placed in remote villages, to automate the centers for capturing the milk data in near real time and to enable direct farmer payments.


Industries: Equipment & Machinery
Functions: Quality Assurance
Capabilities: Data Acquisition & ManagementQuality Assurance & ControlRemote Access & Control
Transformation for IoT Business Model in Connected Industrial Vehicles
Transformation for IoT Business Model in Connected Industrial Vehicles
Transformation for IoT Business Model in Connected Industrial Vehicles
PTC
CNH Industrial wanted to put IoT-enabled viechles onto the market. Whether monitoring a single machine or integrating an entire fleet, operators are able to track the status, speed, and movement of machines and their performance and also receive alerts on issues that may require service by a qualified technician to improve uptime and overall effectiveness of the vehicle.


Industries: Heavy Vehicle
Functions: Logistics & Warehousing
Capabilities: Data Acquisition & ManagementOverall Equipment EffectivenessPredictive Maintenance
Hardware:
Software:
Services:
OneWireless Enabled Performance Guarantee Test
OneWireless Enabled Performance Guarantee Test
OneWireless Enabled Performance Guarantee Test
Honeywell
Tata Power's power generation equipment OEMs (M/s BHEL) is required to provide all of the instrumentation and measurement devices for conducting performance guarantee and performance evaluation tests. M/s BHEL faced a number of specific challenges in conducting PG tests: employing high-accuracy digital communications for instrumentation, shortening setup and dismantling time, reducing hardware required, making portable instrument setup, avoiding temporary cabling work and the material waste costs


Industries: Energy
Functions: Maintenance
Capabilities: Asset Tracking & MonitoringOverall Equipment EffectivenessQuality Assurance & Control
Hardware:
Software:
Services:
Fully Automated Visual Inspection System
Fully Automated Visual Inspection System
Fully Automated Visual Inspection System
Beckhoff
Tofflon has developed a fully automatic machine that uses light to inspect vials, medicine bottles, or infusion containers for glass fragments, aluminum particles, rubber grains, hairs, fibers, or other contaminants. It also detects damaged containers with cracks or inclusions (microscopic imperfections), automatically removing faulty or contaminated products. In order to cover all production processes for freeze-dried pharmaceuticals, Tofflon needed to create an open, consistent, and module-based automation concept.


Industries: Chemicals
Functions: Quality Assurance
Capabilities: Overall Equipment EffectivenessQuality Assurance & Control
Hardware:
Software:
Services:
E.ON Gets Faster, Lower Cost Cycles with OpFlex Solutions
E.ON Gets Faster, Lower Cost Cycles with OpFlex Solutions
E.ON Gets Faster, Lower Cost Cycles with OpFlex Solutions
General Electric (GE)
E.ON's plants ran 4000+ hours per year, now see fewer than 1000+ hours of profitable operation. E.ON needed a fast, reliable and low-cost cycle plants.


Industries: Energy
Functions: Maintenance
Capabilities: Overall Equipment Effectiveness
Software:
Services:
IoT System for Tunnel Construction
IoT System for Tunnel Construction
IoT System for Tunnel Construction
National Instruments
The Zenitaka Corporation ('Zenitaka') has two major business areas: its architectural business focuses on structures such as government buildings, office buildings, and commercial facilities, while its civil engineering business is targeted at structures such as tunnels, bridges and dams. Within these areas, there presented two issues that have always persisted in regard to the construction of mountain tunnels. These issues are 'improving safety" and "reducing energy consumption". Mountain tunnels construction requires a massive amount of electricity. This is because there are many kinds of electrical equipment being used day and night, including construction machinery, construction lighting, and ventilating fan. Despite this, the amount of power consumption is generally not tightly managed. In many cases, the exact amount of power consumption is only ascertained when the bill from the power company becomes available. Sometimes, corporations install demand-monitoring equipment to help curb the maximum power demanded. However, even in these cases, the devices only allow the total volume of power consumption to be ascertained, or they may issue warnings to prevent the contracted volume of power from being exceeded. In order to tackle the issue of reducing power consumption, it was first necessary to obtain an accurate breakdown of how much power was being used in each particular area. In other words, we needed to be able to visualize the amount of power being consumed. Safety, was also not being managed very rigorously. Even now, tunnel construction sites often use a 'name label' system for managing entry into the work site. Specifically, red labels with white reverse sides that bear the workers' names on both sides are displayed at the tunnel work site entrance. The workers themselves then flip the name label to the appropriate side when entering or exiting from the work site to indicate whether or not they are working inside the tunnel at any given time. If a worker forgets to flip his or her name label when entering or exiting from the tunnel, management cannot be performed effectively. In order to tackle the challenges mentioned above, Zenitaka decided to build a system that could improve the safety of tunnel construction as well as reduce the amount of power consumed. In other words, this new system would facilitate a clear picture of which workers were working in each location at the mountain tunnel construction site, as well as which processes were being carried out at those respective locations at any given time. The system would maintain the safety of all workers while also carefully controlling the electrical equipment to reduce unnecessary power consumption. Having decided on the concept, our next concern was whether there existed any kind of robust hardware that would not break down at the construction work site, that could move freely in response to changes in the working environment, and that could accurately detect workers and vehicles using radio frequency identification (RFID). Given that this system would involve many components that were new to Zenitaka, we decided to enlist the cooperation of E.I.Sol Co., Ltd. ('E.I.Sol') as our joint development partner, as they had provided us with a highly practical proposal.


Industries: Construction & Buildings
Functions: Quality Assurance
Capabilities: Asset Tracking & MonitoringEnvironmental Health & SafetyEnvironmental Monitoring
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Integral Plant Maintenance
Integral Plant Maintenance
Integral Plant Maintenance
Siemens
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).


Industries: Automotive
Functions: Discrete Manufacturing
Capabilities: Asset Tracking & MonitoringOverall Equipment EffectivenessPredictive Maintenance
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Digitize Railway with Deutsche Bahn
Digitize Railway with Deutsche Bahn
Digitize Railway with Deutsche Bahn
KONUX
To reduce maintenance costs and delay-causing failures for Deutsche Bahn. They need manual measurements by a position measurement system based on custom-made MEMS sensor clusters, which allow autonomous and continuous monitoring with wireless data transmission and long battery. They were looking for data pre-processing solution in the sensor and machine learning algorithms in the cloud so as to detect critical wear.


Industries: Transportation
Functions: Maintenance
Capabilities: Asset Tracking & MonitoringPredictive MaintenanceRemote Access & Control
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IoT Transforming Agribusiness
IoT Transforming Agribusiness
IoT Transforming Agribusiness
SAP
In order to achieve its goal of increasing agricultural yield in Brazil, Stara had the following objectives: • Establish technically robust operations for SAP® SuccessFactors® solutions • Increase technical stability • Improve performance and business throughput • Introduce efficient maintenance of software after the going-live event


Industries: Mining
Functions: Maintenance
Capabilities: Quality Assurance & Control
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Asset Management and Predictive Maintenance
Asset Management and Predictive Maintenance
Asset Management and Predictive Maintenance
Litmus Automation
The customer prides itself on excellent engineering and customer centric philosophy, allowing its customer’s minds to be at ease and not worry about machine failure. They can easily deliver the excellent maintenance services to their customers, but there are some processes that can be automated to deliver less downtime for the customer and more efficient maintenance schedules.


Industries: Equipment & Machinery
Functions: Maintenance
Capabilities: Asset Tracking & MonitoringData Acquisition & ManagementPredictive Maintenance
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Battery manufacturer Industrial Digital Twin
Battery manufacturer Industrial Digital Twin
Battery manufacturer Industrial Digital Twin
Siemens
For optimum control of product quality, Banner relies on a high production depth. Its 560 production employees produce nearly all the components in¬-house that they need to make finished batteries on Banner’s six assembly lines. This includes the plastic parts for the battery cases as well as the paste-filled lead oxide grids. Their production involves two to five¬ days rest in maturing chambers to create optimum current absorption and storage capacity. Banner’s ongoing success was accompanied by a continuous, organic growth of the production facilities, adding or extending hall after hall until the complex filled the site that had seemed ever so spacious when the company moved here from a smaller place in 1959. These developments led to a heterogeneous production environment. “This confronts us with significant challenges, particularly concerning intra¬logistics issues, such as scheduling for the maturing chambers,” says Franz Dorninger, technical director at Banner. “We contemplated various ways to overcome this problem, including relocating to new premises.”


Industries: Equipment & Machinery
Functions: Quality Assurance
Capabilities: Data Acquisition & ManagementOverall Equipment EffectivenessPredictive Maintenance
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Predictive Maintenance Drives Smarter Fleet Management
Predictive Maintenance Drives Smarter Fleet Management
Predictive Maintenance Drives Smarter Fleet Management
Intel
Fleet managers are turning to predictive analytics to stay on top of maintenance and mitigate part failures before they happen. However, managing the large amount of new data generated by vehicle sensors is challenging.


Industries: Heavy Vehicle
Functions: Maintenance
Capabilities: Asset Tracking & MonitoringData VisualizationOverall Equipment Effectiveness
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Cutting-edge Predictive Analytics for HIROTEC Group
Cutting-edge Predictive Analytics for HIROTEC Group
Cutting-edge Predictive Analytics for HIROTEC Group
ThingWorx
Hirotec needed to ensure continuous operations and to minimize unplanned downtime in its manufacturing facilities. Unplanned downtime is costly and compromises Hirotec's ability to deliver its goods to customers on time.


Industries: Automotive
Functions: Maintenance
Capabilities: Data Acquisition & ManagementPredictive MaintenanceRemote Access & Control
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IoT Solution for Cold Chain
IoT Solution for Cold Chain
IoT Solution for Cold Chain
SenseGrow
Most of the customer's warehouses run on utility and generator power. Since these warehouses are in remote locations, power outages are a very common scenario. Diesel fuel, thereby, becomes a significant cost for these warehouses. Energy consumption was also very high due to the lack of a consistent temperature throughout the facility. This lack of a consistent temperature in all areas and no way to control it, resulted in the customer losing a significant amount of their temperature sensitive goods due to spoilage.


Industries: Transportation
Functions: Maintenance
Capabilities: Data VisualizationEnergy ManagementFacility Climate Control
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Rolls Out Second-Gen Automotive Switch with BroadR-Reach
Rolls Out Second-Gen Automotive Switch with BroadR-Reach
Rolls Out Second-Gen Automotive Switch with BroadR-Reach
Broadcom
Carmakers are facing the next wave of automotive connectivity. Cars will extend their reach, tapping our homes, talking to nearby cars and connecting to myriad other devices. New challenge is to meet bandwidth demands.


Industries: Automotive
Functions: Product Development
Capabilities: Asset Tracking & MonitoringData Acquisition & Management
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PC Control Combines PLC with CNC
PC Control Combines PLC with CNC
PC Control Combines PLC with CNC
Beckhoff
Kraft Maschinenbau produces highly customized doors, requiring very flexible, mixed production of a large variety of components and products, down to batch size 1. This includes variations in frame size, materials, décors, seal types, and fittings.


Industries: Construction & Buildings
Functions: Discrete Manufacturing
Capabilities: Overall Equipment Effectiveness
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Vending Machine Secure Real-time Data Using Everyware Cloud
Vending Machine Secure Real-time Data Using Everyware Cloud
Vending Machine Secure Real-time Data Using Everyware Cloud
Eurotech
As vending machine technology has evolved, it has become more challenging, less reliable and costly to connect phone lines to vending machines and collect data via a modem. Manual equipment maintenance is very costly, slow and labor intensive.


Industries: Equipment & Machinery
Functions: Maintenance
Capabilities: Data Acquisition & ManagementData VisualizationInventory Management
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RobotStudio Case Study: Benteler Automobiltechnik
RobotStudio Case Study: Benteler Automobiltechnik
RobotStudio Case Study: Benteler Automobiltechnik
ABB
Benteler has a small pipe business area for which they produce fuel lines and coolant lines made of aluminum for Porsche and other car manufacturers. One of the problems in production was that when Benteler added new products, production had too much downtime.


Industries: Automotive
Functions: Maintenance
Capabilities: Data Acquisition & ManagementData VisualizationPredictive Maintenance
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