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1,189 case studies
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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:
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
Predictive Maintenance case-studies from Minerals Industry
Predictive Maintenance case-studies from Minerals Industry
Predictive Maintenance case-studies from Minerals Industry
SAP
To develop a reliable and integrated asset management platform:The objective of the platform was to support condition-based monitoring in order to keep in check the asset’s health, predict failure or breakdowns and ensure proactive maintenance decision-making on the basis of the historic data.


Industries: Mining
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
Driving peak performance with comprehensive support coverage from IBM
Driving peak performance with comprehensive support coverage from IBM
Driving peak performance with comprehensive support coverage from IBM
IBM
With more than 11,000 employees at 94 locations across India, leading commercial vehicle manufacturer VECV needs seamless, responsive technical support to ensure high-availability IT operations. The company sought services from a trusted IT provider capable of simplifying coverage for its multi-vendor environment, accelerating issue resolution for end-users and structuring an effective governance framework for vendor management.


Industries: Equipment & Machinery
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
Heat Exchanger Monitoring and End of Cycle Prediction
Heat Exchanger Monitoring and End of Cycle Prediction
Heat Exchanger Monitoring and End of Cycle Prediction
Seeq
Predicting end-of-cycle (EOC) for a heat exchanger due to fouling is a constant challenge faced by refineries. Proactively predicting when a heat exchanger needs to be cleaned enables risk-based maintenance planning and optimization of processing rates, operating costs, and maintenance costs. Before using Seeq, the engineer had to manually combine data entries in a spreadsheet and spend hours/days formatting and filtering the content or removing non-relevant data when necessary (for example when equipment was out-of-service).


Industries: EnergyChemicals
Functions: Process Manufacturing
Minimizing downtime by engaging IBM Services – Technology Support
Minimizing downtime by engaging IBM Services – Technology Support
Minimizing downtime by engaging IBM Services – Technology Support
IBM
Simplifying maintenanceHana Financial Group had recently consolidated the infrastructure and resources of 11 of its affiliates at a local IBM data centre. However, the business was left with more than 100 service and maintenance contracts that needed to be reviewed and renewed periodically. These contracts also involved 100 separate bills that Hana Financial Group had to manage. Managing such a large volume of bills was cumbersome and sometimes resulted in late payments. The group wanted to improve efficiency and eliminate the overhead involved with managing these contracts by consolidating its heterogeneous IT systems and data storage systems under more consistent processes.


Industries: Other
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
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
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
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
IoT Enabled Remote Asset Monitoring and Predictive Maintenance
IoT Enabled Remote Asset Monitoring and Predictive Maintenance
IoT Enabled Remote Asset Monitoring and Predictive Maintenance
Altizon Systems
A stripper well or marginal well is an oil or gas well that is nearing the end of its economically useful life. In the U.S., oil wells are generally classified as stripper wells when they produce 10 to 15 barrels per day or less for any 12-month period. These wells account for approximately 18% of the U.S. production. The key ask was to design a solution that would connect these wells often located in remote locations and collect information about their performance and operating conditions. 


Industries: Equipment & Machinery
Functions: Maintenance
Largest Production Deployment of AI and IoT Applications
Largest Production Deployment of AI and IoT Applications
Largest Production Deployment of AI and IoT Applications
C3 IoT
To increase efficiency, develop new services, and spread a digital culture across the organization, Enel is executing an enterprise-wide digitalization strategy. Central to achieving the Fortune 100 company’s goals is the large-scale deployment of the C3 AI Suite and applications. Enel operates the world’s largest enterprise IoT system with 20 million smart meters across Italy and Spain.


Industries: Energy
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
Tata Power Uses AVEVA PRiSM Predictive Asset Analytics Software
Tata Power Uses AVEVA PRiSM Predictive Asset Analytics Software
Tata Power Uses AVEVA PRiSM Predictive Asset Analytics Software
Aveva
- Avoid asset failures and reduce equipment downtime - Identify subtle changes in system and equipment behavior - Gain advanced warning of emerging equipment issues - Monitor the health and performance of critical assets fleet-wide in real time - Improve maintenance planning y Enable knowledge capture to optimize information sharing between plant personnels


Industries: Other
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 maintenance of medical devices based on years of experience and advan
Predictive maintenance of medical devices based on years of experience and advan
Predictive maintenance of medical devices based on years of experience and advan
Hitachi
Failure prediction by human operators requires advanced skills, and the limited number of experts cannot monitor all MRI systems around the world. "Corrective maintenance" for repairs after breakdowns has also become inevitable.


Industries: Other
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
CN Helped Pine Printshop with a Responsive and Top-notch E-commerce Portal
Capital Numbers Infotech Pvt Ltd.
To digitally expand their business, Pine Printshop was looking for a catalog-based site that would help people buy ready-made products (e.g. apparels, board pins, stickers, etc.) and even allow customers to personalize their own t-shirts, caps, and hoodies.


Industries: Other
Functions: Product Development
Predictive maintenance in Schneider Electric
Predictive maintenance in Schneider Electric
Predictive maintenance in Schneider Electric
Senseye
Schneider Electric Le Vaudreuil factory in France is recognized by the World Economic Forum as one of the world’s top nine most advanced “lighthouse” sites, applying Fourth Industrial Revolution technologies at large scale. It was experiencing machine-health and unplanned downtime issues on a critical machine within their manufacturing process. They were looking for a solution that could easily leverage existing machine data feeds, be used by machine operators without requiring complex setup or extensive training, and with a fast return on investment.


Industries: Energy
Functions: Maintenance
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
IIoT Enablement In The Elevator Service Industry
IIoT Enablement In The Elevator Service Industry
IIoT Enablement In The Elevator Service Industry
relayr
The client is looking to generate higher value from the elevator data that is collected. Sensors and data include:Laser - position of the elevator carLuminosity - Level of light within the carUltrasound - Open shaft doorVibration - Acceleration of the car; vibration of the carMicrophones - abnormal sounds of the carAtmospheric Pressure - Air pressureHumidity - Shaft humidityTemperature - Shaft temperature 


Industries: Equipment & Machinery
Functions: Maintenance
Mondi Implements Statistics-Based Health Monitoring and Predictive Maintenance
Mondi Implements Statistics-Based Health Monitoring and Predictive Maintenance
Mondi Implements Statistics-Based Health Monitoring and Predictive Maintenance
MathWorks
The extrusion and other machines at Mondi’s plant are large and complex, measuring up to 50 meters long and 15 meters high. Each machine is controlled by up to five programmable logic controllers (PLCs), which log temperature, pressure, velocity, and other performance parameters from the machine’s sensors. Each machine records 300–400 parameter values every minute, generating 7 gigabytes of data daily.Mondi faced several challenges in using this data for predictive maintenance. First, the plant personnel had limited experience with statistical analysis and machine learning. They needed to evaluate a variety of machine learning approaches to identify which produced the most accurate results for their data. They also needed to develop an application that presented the results clearly and immediately to machine operators. Lastly, they needed to package this application for continuous use in a production environment.


Industries: Other
Functions: Discrete Manufacturing
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
Sentilo Terrassa (Smart City Open Data)
Sentilo Terrassa (Smart City Open Data)
Sentilo Terrassa (Smart City Open Data)
Opentrends Inc.
Terrassa City was in need to ameliorate their information and communication flow between municipal managers, in order to generate new services to its citizens. The City Council was missing an internal management platform of the municipal services, and wanted to initiate a Smart City strategy to solve this issue, along with bringing value to all parties involved (municipality, businesses, citizens and other local entities). 


Industries: Other
Functions: Other
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
Anaren Microwave Implements their manufacturing CMMS
Anaren Microwave Implements their manufacturing CMMS
Anaren Microwave Implements their manufacturing CMMS
Fiix Software
Like many organizations, Anaren had a homegrown work order application that had basic asset management functionality. “It was menu driven, so quite cumbersome,” explained Bill, “reporting was limited and it still relied heavily on paper transactions and records. We looked at our business needs going forward and decided this was one area that could be modernized.” On launching the Manufacturing CMMS project, Bill, the business analyst of the company identified three major areas for improvement:1. Improve efficiency by eliminating paper.2. Improve the control of preventive maintenance. 3. Improve inventory management.


Industries: Equipment & Machinery
Functions: Discrete ManufacturingMaintenance
How a major player in the oil & gas industry decreased downtime
How a major player in the oil & gas industry decreased downtime
How a major player in the oil & gas industry decreased downtime
Fiix Software
Sean Simon is the SVP of Operations at CIG Logistics, where sand is transloaded and stored for third parties in the oil and gas industry. Before looking into CMMS solutions, his team spent three years trying to manage their maintenance operations with a paper-based system, leaving them with the major issue of not being able to gather or access data. “There’s no way to mine paper. There was no daily summary, no way of tying together comments or keywords.” As a result, trying to track and schedule preventive maintenance was nearly impossible. “It was like owning a car in the 1950s. You had to try to remember the last time you did something and guess at the maintenance that needed to be done in the future”.


Industries: Energy
Functions: Maintenance