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1,195 case studies
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Seawage Overflow Reduction
Seawage Overflow Reduction
Seawage Overflow Reduction
Opti (OptiRTC)
DOEE identified intelligent retention as an important option for limiting wet-weather discharge, storing water on-site for use, and informing future improvements to District infrastructure.


Industries: Equipment & Machinery
Functions: Quality Assurance
Capabilities: Data Acquisition & ManagementRemote Access & Control
Hardware:
Software:
Siemens Wants to Reduce Time to Market by Speeding up Cycle Times
Siemens Wants to Reduce Time to Market by Speeding up Cycle Times
Siemens Wants to Reduce Time to Market by Speeding up Cycle Times
Flexera Software
To reduce time to market by speeding up cycle times, and reduce manufacturing and inventory costs, of complex building system automation equipment.


Industries: Equipment & Machinery
Functions: Maintenance
The Royal Victoria Hotel
The Royal Victoria Hotel
The Royal Victoria Hotel

The Royal Victoria’s 20-year-old Mitel system, with separate analogue voicemail system, needed to be replaced. The hotel required a modern communications solution that would:Connect the hotel's 160 employees.Provide call logging to help monitor business performance and control costs.Provide communications to mobile members of the team such as the night porters.Improve guest WiFi internet access.


Industries: Equipment & Machinery
Functions: Maintenance
Hardware:
Software:
Services:
CAT M1 custom antenna for  asset trackers
CAT M1 custom antenna for  asset trackers
CAT M1 custom antenna for asset trackers
Radientum Oy
In the summer of 2018, Viatrax started a new LTE design project for their new GPS Tracker for LTE Cat 1M. Radientum was chosen to design the multiband antenna for the device. Despite the challenges, the product came out as a success.The GPS tracker itself was designed by an engineering company Device Solutions based in Morrisville, North Carolina. Device Solutions and Radientum worked closely in liaison to deliver Viatrax with the best possible result.When starting the project, Viatrax engineers were pondering whether they should locate the antenna on the circuit board itself or create a trace antenna. The latter was a better, but at the same time more difficult task.– Everyone agreed it was going to be a challenge. We discussed with the folks at Radientum and they said they guarantee it will work. If not, they wouldn’t have charged us for the work, Viatrax Automation CEO Mike Webster says.–  Radientum went back and forth with our design people to make adjustments. It turned out they did a really good job and the trace antenna solution will end up saving us a lot of money and parts.


GalileoCDS Demo %
GalileoCDS Demo %
GalileoCDS Demo %
ClearBlade


Enterprise Data Analytics Platform and AMI Operations
Enterprise Data Analytics Platform and AMI Operations
Enterprise Data Analytics Platform and AMI Operations
C3 IoT
In tandem with its 6 year-long smart meter rollout plan, Con Edison sought to implement Advanced Metering Infrastructure (AMI) operations on top of a comprehensive enterprise data analytics platform for improved operational insight and customer service for its base of more than four million customers. In order to improve customer service and operations across its region, one of the largest integrated utilities in the United States has rolled out the C3 AI Suite and C3 AMI Operations application on AWS. Con Edison’s project objectives were to deliver on the utility’s commitments for presenting customer data, establish AMI operations across 5 million smart meters to ensure operational health, and build a federated data image platform for analytic capabilities. The utility’s smart meter deployment will generate between 100 terabytes and 1 petabyte of data per year, so choosing a platform that could scale and continue to perform analytics on an ever-larger data set was vital.


Industries: Energy
Functions: Maintenance
Ursalink Provides Stable and Secure Internet Access for Video Surveillance in Se
Ursalink Provides Stable and Secure Internet Access for Video Surveillance in Se
Ursalink Provides Stable and Secure Internet Access for Video Surveillance in Se
Ursalink Technology
Access to the Internet with wired connection24/7 monitoring and real-time data transmission from equipment


Industries: Equipment & Machinery
Functions: Maintenance
Simeco Streamlines Teka Oven Line Assembly with RFID
Simeco Streamlines Teka Oven Line Assembly with RFID
Simeco Streamlines Teka Oven Line Assembly with RFID
Litum
Simeco is the manufacturer of Teka premium cooking appliances.  Teka strives to combine quality, convenience and efficiency in everything they do, to achieve the best solution for its customers.  The joint effort to provide “meaningful experiences” for their customers begins at Simeco’s 24,000 square meter manufacturing facility, which has the capacity to build 500,000 units a year, on its six production lines. It is at this site where the company manages the materials used for assembly, the assembly process itself, and also constantly seeks ways to improve efficiency and eliminate errors.As part of that effort, Simeco wanted a technology-based solution that would automatically monitor the receipt and consumption of materials, as well as the work taking place on its production lines, and automatically detect and prevent any errors in the testing and control processes.The company wanted the technology not only to bring real time visibility into its product processes, it wanted a way to manage the overall equipment effectiveness (OEE) as well.Simeco needed an automated system to be able to detect and identify when an error could be made in mounting components, as well as provide support for assembly workers by displaying relevant instructions on the assembly floor. The technology also needed to be able to capture analytical data so the company could continue to improve its processes.Litum’s UHF RFID solution automatically tracks a tagged component or unit as it moves through assembly. With location and status data from the solution, the software can provide contextualized information to those on the assembly floor and to managers overseeing processes, historically as well as in real time.To ensure the technology would meet the company’s needs, Litum customized the solution, thereby reducing costs. One example was the engineering of the tags themselves: Litum worked with Simeco to develop a reusable tag, thereby increasing sustainability and reducing cost. The reusable tags, attached and detached with a specialized assisting tool, uniquely identify a component, and can be detached and reused on subsequent assembly processes.Litum also specially designed the middleware to integrate with the brand's existing manufacturing system. The result is a software platform known as the Simeco Traceability Software.


Industries: AutomotiveEquipment & Machinery
Functions: Process Manufacturing
Providing a Next-Generation Air Service with SAP® Leonardo Internet of Things
Providing a Next-Generation Air Service with SAP® Leonardo Internet of Things
Providing a Next-Generation Air Service with SAP® Leonardo Internet of Things
SAP
To optimize its Sigma Smart AirService, Kaeser worked with SAPDigital Business Services to deploySAP Leonardo IoT capabilities as its innovation foundation together with SAP Asset Intelligence Network and SAP Predictive Maintenance and Service. Kaeser’s new solution connects its compressors smartly in the cloud, allowing it to offer a next-generation service at a lower price.Challenges:- Service team unable to access calibration data and other equipment-specific information, which was stored in on-premise systems- No solution to meet the needs of dealers and companies’ service providers- Need for track-and-trace capabilities with selected suppliers to scale-up potential


Industries: Other
Functions: Maintenance
Manage HVAC systems to optimize performance and save up to 40 percent
Manage HVAC systems to optimize performance and save up to 40 percent
Manage HVAC systems to optimize performance and save up to 40 percent
IBM
Seeking to add value beyond pump efficiency, Armstrong wanted to help customers address the issue of predictive maintenance through continuous learning to improve efficiency and by sharing best practices across industries and buildings.


Industries: Construction & Buildings
Functions: Maintenance
Cooperation with VR FleetCare for predictive analytics
Cooperation with VR FleetCare for predictive analytics
Cooperation with VR FleetCare for predictive analytics
Humaware
Bogies are the most significant components of the rail fleet in terms of lifecycle costs and traffic safety. In addition to creating significant cost savings for the rail fleet owners, data-driven maintenance will enhance safety and the usability of the rolling stock. The predictive maintenance capability will improve reliability of the trains, cost-efficiency and passenger comfort. Train traffic will operate more reliably when it is possible to predict rolling stock malfunctions before they cause disruptions in traffic.


Industries: Transportation
Functions: Maintenance
Predictive Analytics Solution for Off Highway Equipment
Predictive Analytics Solution for Off Highway Equipment
Predictive Analytics Solution for Off Highway Equipment
CYIENT
The client wanted to reduce downtime and production losses by effectively prioritizing maintenance activities and proactively replacing components before failure.


Industries: Equipment & Machinery
Functions: Maintenance
Predict to prevent: Transforming mining with machine learning
Predict to prevent: Transforming mining with machine learning
Predict to prevent: Transforming mining with machine learning
IBM
Mining companies have a lot of data at their disposal. Sensors are seemingly everywhere in their underground operations. But thus far it has been very hard for mining companies to capitalize on all their data because of the difficulty in making sense of it all.So what’s the most important data for mining companies? The short answer: assets. Mining is one of the most asset-intensive businesses there is. At every point in the extraction chain— drilling, cutting, crushing, screening and removing ore-bearing rock—heavy equipment is critical. And it takes a beating. When equipment breaks down, requiring unscheduled maintenance, production takes a hit, costs rise and a critical measure of capital efficiency in mining—overall equipment effectiveness (OEE)—goes down.


Industries: Mining
Functions: Maintenance
A Hybrid Switchgear-Communication Solution Satisfies Shopping Center’s No-Antenn
A Hybrid Switchgear-Communication Solution Satisfies Shopping Center’s No-Antenn
A Hybrid Switchgear-Communication Solution Satisfies Shopping Center’s No-Antenn
Microsoft Azure
Based in Bolton, England, Ascribe is a leading provider of business intelligence (BI) and clinically focused IT solutions and services for the healthcare industry. Ascribe estimates that 82 percent of National Health Service (NHS) trusts in the United Kingdom use its products. With access to large volumes of data maintained by the trusts, the company wanted a BI solution that would help healthcare providers detect, predict, and respond more quickly to outbreaks of infectious disease and other health threats. Healthcare analysts typically work from data collected and coded when patients receive treatment in clinics and hospitals. “By the time they get that information it’s usually out-of-date,” says Paul Henderson, Business Intelligence Division Head at Ascribe. “The data has already been coded and stored in a record-keeping system, or it’s been collected from a hospital workflow, and that doesn’t always happen in real time.” In addition, huge volumes of potentially useful data existed in text files from sources such as unscheduled visits to emergency rooms, school attendance logs, and retail drug sales. The Internet offered another trove of untapped information including clickstream analysis and social media such as Twitter. “If you think about each clinician who struggles with getting timely, accurate data, and you compound it on a national scale, then it becomes an immense challenge,” says Henderson. “You have lots of small pieces of data coming in from multiple places, and it can be very difficult to aggregate and interpret.”Ascribe had previously worked on a solution to support the analysis of national emergency care attendance. The system was designed to monitor the daily number of people who visited emergency departments in the UK and raise an alarm when it identified unusual levels of activity such as a potential outbreak of an infectious disease. However, it was difficult to collect data from a rapidly growing number of healthcare providers, including mobile clinicians. In addition, clinicians were unable to use the exploding volume of unstructured data from patient case notes and social media feeds. “The processing power you would need to handle all of that information is beyond the capability of most organizations,” says Henderson. “A hospital can’t just stand up a server farm to process millions of case notes from an emergency care system in addition to other data.” To solve these problems, Ascribe decided to design a proof of concept that would create a standardized approach to working with healthcare data. The company asked Leeds Teaching Hospitals, one of the biggest NHS trusts in the UK, to participate in the project. Leeds can generate up to half a million structured records each year in its Emergency Department system. The hospital also generates approximately 1 million unstructured case files each month.Ascribe wanted to create not just a proof-of-concept BI solution for monitoring infectious disease on the national level, but also a tool that could be used to improve operations for local care providers. “Our goal was to find a way to make data flow more quickly in near-real time,” says Henderson. “We also wanted to augment clinically coded data with data harvested from case notes.” The company wanted to create a national knowledge base that both analysts following disease outbreaks and local clinicians could use to improve healthcare. Ascribe needed a highly scalable, end-to-end solution that could work with multiple data types and sources, as well as provide self-service BI tools for users.


Industries: Equipment & Machinery
Functions: Maintenance
Software:
Services:
TAKEBISHI – FACTORY AUTOMATION - From Kyoto to the World
TAKEBISHI – FACTORY AUTOMATION - From Kyoto to the World
TAKEBISHI – FACTORY AUTOMATION - From Kyoto to the World
WIBU-SYSTEMS
Takebishi, the Kyoto-based total solutions provider, distributor and evangelist for Mitsubishi Electric Corp. factory automation technology, is readying its flagship industrial communication middleware DeviceXPlorer® OPC Server for the smart factories and connected industry of the 2020s with a major new version upgrade. With its business growing both in its native Japan and around the world and unauthorized use an increasing concern, the invaluable intellectual assets invested in the system call for a licensing solution that is as smart and sophisticated as it is reliable and easy to use.


Industries: Equipment & Machinery
Functions: Other
Rethinking Machine Performance
Rethinking Machine Performance
Rethinking Machine Performance
relayr
Machine uptime is one of the most vital performance factors for electric rotating machinery. In times when an hour of downtime can equate to thousands of dollars in losses, securing predictability turns into a high priority for all industrial businesses. Manufacturers operate in an extremely volatile environment, thus avoiding unplanned downtime becomes critical for achieving desired business outcomes. Predictive maintenance is no longer a nice-to-have but a necessity to survive and thrive in unfavourable conditions. Start from the basics. Making machines perform better means, first and foremost, understanding how the machine works, extracting relevant data, and gaining meaningful insights into ongoing processes. The power of the machine lies in utilizing its full potential.


Industries: Equipment & Machinery
Functions: Maintenance
Improving Manufacturing Processes with Essilor
Improving Manufacturing Processes with Essilor
Improving Manufacturing Processes with Essilor
Dataiku
Seeing that one of their goals is to find ways to better answer consumer and business needs, the Global Engineering (GE) team was facing the challenge of improving processes and performance of the surfacing machines to significantly improve their production by using the increasing volume of data."We wanted a data science platform that would allow us to solve our business use cases very quickly. Thanks to Dataiku and its collaborative platform, which is agile and flexible, data science has become the norm and is now used more widely within our organization and around the world," said Cédric Sileo, Data Science Leader at Global Engineering, Essilor.


Industries: Other
Functions: Maintenance
Scalable Predictive Maintenance in INSEE
Scalable Predictive Maintenance in INSEE
Scalable Predictive Maintenance in INSEE
Senseye
SCCC had committed to running a showcase Digital Factory for the ASEAN region and had already invested heavily in smart factory equipment and sensors. They required a predictive maintenance system that would leverage their existing investments and integrate with their SAP PM maintenance system.


Industries: Other
Functions: Maintenance
Aircraft component manufacturer introduces predictive maintenance
Aircraft component manufacturer introduces predictive maintenance
Aircraft component manufacturer introduces predictive maintenance
Capgemini
A major European aircraft component supplier encountered this challenge first-hand. A mission-critical, programmable milling machine failed, halting the organization’s production process. Despite the customer team’s expertise, the problem proved challenging to diagnose. At first, it appeared the downtime resulted from a damaged spindle, the most complicated part of the milling machine. However, a costly and time-consuming spindle replacement did not correct the situation. The team was forced to perform an extensive system evaluation to identify the culprit.


Industries: Equipment & Machinery
Functions: Maintenance
Large-scale Implementation of Wireless Predictive Maintenance
Large-scale Implementation of Wireless Predictive Maintenance
Large-scale Implementation of Wireless Predictive Maintenance
Petasense
In 2016, Arizona Public Service (APS) decided to enter the California ISO (CAISO) market, which allows them to sell power into the California market. One of their key assets was Sundance, a 420 MW unmanned peaker plant located 50 miles outside Phoenix. The entry into the CA energy market meant that starts tripled and run hours doubled almost immediately at the plant. They started looking for wireless Predictive Maintenance (PdM) system because the running hours were typically when no one was on site, which meant that traditional forms of PdM were not possible. Typically, a specialist would collect vibration and other condition data on equipment, but it had to be taken during operation, and it was difficult to get personnel out to the site.“Reliability was foremost on our minds,” commented Don Lamontagne, Supervisor of Equipment Reliability Engineering. “We faced huge loss of potential revenue, as well as fines if we weren’t able to generate power when it’s needed.”


Industries: Energy
Functions: Maintenance
Continuous condition monitoring pays off at a large power utility
Continuous condition monitoring pays off at a large power utility
Continuous condition monitoring pays off at a large power utility
Petasense
A large power utility in Hawaii was looking for more frequent condition monitoring on their Balance of Plant (BOP) generation assets. They had experienced significant equipment failures that occurred between their scheduled quarterly walkaround condition monitoring routes.


Industries: Energy
Functions: Maintenance
Predictive Maintenance Software for Gas and Oil Extraction Equipment
Predictive Maintenance Software for Gas and Oil Extraction Equipment
Predictive Maintenance Software for Gas and Oil Extraction Equipment
MathWorks
If a truck at an active site has a pump failure, Baker Hughes must immediately replace the truck to ensure continuous operation. Sending spare trucks to each site costs the company tens of millions of dollars in revenue that those trucks could generate if they were in active use at another site. The inability to accurately predict when valves and pumps will require maintenance underpins other costs. Too-frequent maintenance wastes effort and results in parts being replaced when they are still usable, while too-infrequent maintenance risks damaging pumps beyond repair.


Industries: Energy
Functions: Maintenance
Università degli Studi di Udine
Università degli Studi di Udine
Università degli Studi di Udine
Endian
University of Udine is a college committed to the highest education standards, research, interaction with surrounding territories. The collaboration with Endian brought its technological vocation beyond the academic field to translate into a project aimed to protect and safely manage accesses to electrical and thermal control systems, access control and video surveillance.


Industries: Other
Functions: Maintenance
Ground-breaking Service for Millions Uses Cloud for Online Psychotherapy
Ground-breaking Service for Millions Uses Cloud for Online Psychotherapy
Ground-breaking Service for Millions Uses Cloud for Online Psychotherapy
Microsoft Azure
According to the World Health Organization (WHO), there are approximately 1.7 billion people in the world suffering from a range of mental health conditions. This might be anything from acute anxiety and clinical depression to obsessive-compulsive disorders. The WHO believes there are 23 million people suffering from these and similar conditions in Egypt alone. However, one of the factors preventing people from receiving treatments are cultural values and social stigma: they say that either these conditions do not exist, or that if people are indeed suffering, they just need the willpower to overcome their afflictions rather than seeking specialized treatment.With an estimated 10,000 website hits per month, Shezlong needed a hosting platform that could not only provide a foundation for the service but also accommodate its open source architecture.


Industries: Equipment & Machinery
Functions: Maintenance
Software:
Improving “people flow” in 1.1 million elevators globally
Improving “people flow” in 1.1 million elevators globally
Improving “people flow” in 1.1 million elevators globally
IBM
KONE already provided traditional maintenance services for its more than 400,000 building owner and facilities management customers, but it sought cloud-based analytics technology to capture and use the vast amount of data generated by its elevator and escalator equipment worldwide to transform its service offerings. “We knew that digitalization was changing the industry, and we wanted to become a forerunner, not a follower in this development,” says Markus Huuskonen, the Director of Maintenance Processes and Connected Services at KONE.


Industries: Equipment & Machinery
Functions: Maintenance
Vale Fertilizantes Saves $1.4M in Production Losses with Predix Asset Performanc
Vale Fertilizantes Saves $1.4M in Production Losses with Predix Asset Performanc
Vale Fertilizantes Saves $1.4M in Production Losses with Predix Asset Performanc
General Electric (GE)
Reducing production lossesIn 2013, the company identified a need in the maintenance and operation of its acid nitric plant to reduce production losses and improve annual production. Vale noticed there was a gap in nitric acid production from 2011 to 2012 and discovered that three pieces of equipment were responsible for the main losses, including two weak acid condensers and a compressor discharge air cooler. The condenser’s losses were due to thickness loss, lack of availability of the spare condenser, and shell cracking.With a production loss above 14,000 tons in 15 months, Vale aimed to reduce annual loss by 10,000 tons by August 2015. 


Industries: Chemicals
Functions: Maintenance
The Convergence of Predictive and Preventative Maintenance for Mill Reliability
The Convergence of Predictive and Preventative Maintenance for Mill Reliability
The Convergence of Predictive and Preventative Maintenance for Mill Reliability
General Electric (GE)
Gerdau was looking to reduce their annual maintenance spend while also improving productivity, thus targeting margin improvements within their manufacturing operations. 


Industries: Other
Functions: Maintenance
Automotive manufacturer increases productivity for cylinder-head production by 2
Automotive manufacturer increases productivity for cylinder-head production by 2
Automotive manufacturer increases productivity for cylinder-head production by 2
IBM
Daimler AG was looking for a way to maximize the number of flawlessly produced cylinder-heads at its Stuttgart factory by making targeted process adjustments. The company also wanted to increase productivity and shorten the ramp-up phase of its complex manufacturing process.


Industries: Automotive
Functions: Maintenance
Saving millions with a predictive asset monitoring and alert system
Saving millions with a predictive asset monitoring and alert system
Saving millions with a predictive asset monitoring and alert system
IBM
The challenge was to harvest and sift through this data, recognize the patterns that indicate a high likelihood of asset failure, identify the most urgent issues, and get the right information to its engineers with enough lead time for them to take effective action.“Before, we only used between 10 and 12 percent of the operational data we collected, which is the industry average,” comments Benn. “By the time we had searched for, collated and forwarded the right information to the right people, we might respond too late to avoid impact to operations, or have to make last-minute changes to our maintenance schedule, which reduces efficiency. Our challenge was to provide right-time, actionable, effective information proactively, rather than in a reactive or look-back assessment.”“What we wanted was a way to identify patterns in that sensor data that would give us an early warning of asset failure. We saw an opportunity to use analytics technology to extract greater value from the systems and data we already possessed, which would help us to, for example, avoid preventable failures and potentially save millions of dollars.


Industries: Energy
Functions: Maintenance
Reducing Downtime with Predictive Analytics
Reducing Downtime with Predictive Analytics
Reducing Downtime with Predictive Analytics
Seebo
To improve production capacity and avoid downtime, a global biotechnology manufacturing company implemented Seebo Predictive Analytics.The company’s quarterly operations review revealed a 3.6% increase in downtime during production. This downtime stemmed from an unexplained viscosity in one product in the production line.The resulting pipeline blockages between the reactor and the centrifuge in the production line led to more frequent equipment cleaning procedures and stoppage during the batch production, high levels of waste, a decreased capacity, and lengthened time to market.The investigative team could not identify a reason for the blockage, as all relevant production parameters were in the approved working range.


Industries: Other
Functions: Maintenance