A global medical device manufacturing company, HARTMANN, faced the challenge of harmonizing its IT infrastructure across multiple locations. The existing implementation with Microsoft DNS and DHCP solutions lacked integration and visibility into network operations.

Hyundai Motor Corporation had to schedule different build jobs, keep an overview of all the build statuses and ensure that the information flows efficiently to all people involved. They used Excel sheets to manage the RP production status, meaning that the information needed to be frequently updated and spread manually. Machine operators also invested significant work hours to manually manage the operating plan for each machine and adjust and communicate the planning as soon as changes occur.

Unistar LC needed a scalable, cost-efficient, and reliable platform to ramp up their cloud services

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.

At the corporation’s Mizushima plant near Okayama, pH measurement during the neutralization of strong acids is closely monitored. For this important measurement Tsutomu Ishikawa and Naoto Ogura, engineers at the plant’s Instrumentation and Engineering Department were not satisfied with the performance of the pH sensors they were using.For this reason, sensors were regularly exchanged at the plant to minimize the chance of failure in the process. But the operation cost was high and Mr. Ishikawa and Mr. Ogura needed a better solution. Specifically, they required to know in advance when a pH sensor would need to be cleaned, calibrated or replaced: “We wanted to grasp how deposits forming on the pH sensors would affect the timing of sensor maintenance and exchange.”

Conserv and TEKTELIC Collaborate to Provide Indoor Monitoring Solutions to Protect and Maintain Valuable Artifacts and Collections Around the Globe.

Manual errors in warehouse managementProblems such as inventory theft, delayed shipment, and the need for double verification of inventory

Most organisations apply a “Reactive Maintenance” approach to their processes, in which repairs and replacements are made to the equipment after a failure occurs. It costs around 10x more to repair a machine after it fails, not to mention the direct impact on revenue and customer satisfaction. Through “Preventative Maintenance” equipment is repaired or replaced at pre-set time intervals in order to avoid failure. Whilst this approach reduces unplanned downtime it is expensive as these scheduled repairs take place when there can be nothing wrong with the equipment. However, the benefits of predictive maintenance are significant, so it is becoming the preferred method for manufacturers, enabling organisations to foresee and schedule repairs and replacements when needed, achieving 100% operational uptime of the equipment.  One challenge for traditional machine learning in manufacturing is that techniques require clean and complete data. However, manufacturing and process data can be sparse and noisy.Currently, it is difficult for engineers to access and interpret production process data, they rely on personal experiences and opinions to modify process parameters. This leads to inconsistent and potentially suboptimal decision making, and moreover increases the risk of process failure, increasing associated time and costs. The production line is especially difficult to model using standard techniques due to the inherent time lag and inertia between changing operating parameters and their effect. Costs associated with waste materials and failed production could also be significantly reduced with the application of relevant and innovative deep learning technology to design production processes more efficiently.

JDE needed a partner with the expertise to provide a comprehensive overview of all cybersecurity risks and vulnerabilities across its factories. This included all operational technology computing systems used to manage the entire industrial operation.

Ryerson aimed to distinguish itself from competitors by improving customer service functionality, but supporting IT infrastructure needed an upgrade to deliver on its goals

More and more, our world is becoming aware about the environmental print that comes with population growth, limitation of resources, climate change and the need for sustainability. The biggest challange here was to raise awareness among citizens and organizations about their environmental impact, and to help themto reduce it in a sustainable way with the help of Real time data. 

Power a national digital bank initiative and enterprise-wide digital transformation by reducing the time and effort needed to integrate systems

Before introducing the 3d Signals Asset Performance Monitoring (APM) solution, ROTHENBERGER monitored their assets with traditional tower lights and 24V controls provided by the machine vendors. As part of their transition to the industry 4.0 era, ROTHENBERGER looked for a solution that would enable accurate visibility and full transparency into the production floor.

Optima Energy Systems had an inefficient and highly manual reporting system, with a messy pile-up of options and settings. They spent a disproportionate amount of time manually building reports instead of focusing on product enhancements.

Panic faced challenges in delivering firmware updates and monitoring device metrics for their handheld video game system

SOMIC, a machine builder in the packaging market, wanted to reduce costs, improve service, and meet market requirements for compact and high-performance machines.

The primary concern for AdventHealth Orlando was security. The hospital’s security staff, although well-trained and conscientious, could not be everywhere at once. They needed extra “eyes” to catch what people could not. This was especially true in cases such as when a sick or injured person was hastily dropped off at the emergency room by a driver who then sped away. The local sheriff’s office would have to document the incident and identify the driver, but the hospital’s staff was unable to do that reliably. There was also a need for real-time analysis of traffic entering and leaving the hospital. This would tell the security staff how much parking was used by staff and patients and at what times of the day. The efficient operation of the hospital and plans for future growth depended on this data. Finally, AdventHealth Orlando needed a secure automatic access control system for its staff garage. Existing methods required too much human intervention and did not reliably prevent nonstaff from parking in the garage.

COVID-19 made monitoring indoor air quality urgent for customers. Customers needed to be able to review indoor air quality themselves.

A Fortune 500 industrial supply company experienced consistent network failures multiple times per day when it opened a new distribution center. This downtime halted automation and forced staff to fulfill orders manually, ultimately slowing deliveries and straining customer and supplier relationships. Revenue fell, and future sales were affected. All this when the new center was operating only at 10-20% capacity.

One of Europe’s largest manufacturing companies recognized the need for asset digital twins to improve service-level agreements (SLAs) for its installed base. However, maintaining accurate digital bills of materials (BOMs) in systems-of-record was a challenging task.

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.

The client wanted to reduce downtime and production losses by effectively prioritizing maintenance activities and proactively replacing components before failure.

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.

The calendar machine run by a motor has a shaft mounted gearbox connected to the roller. This gearbox allows maximum paper load and feeds the paper with reduced speed to the roller. In spite of scheduled preventive maintenance, it was observed that gearbox used to fail frequently. The rise in vibrations leading to the eventual failure of gearbox adversely affected the quality of the paper. Monitoring the gearbox was thus vital and critical.

MTC desired a Next Generation 511 system that provided choice and efficiency in mobility for the 8 million residents, visitors and workers it serves, while leveraging the latest technology advances to reduce cost.

Extra loop of manual double-checks is needed in automotive quality inspections.

Facing the fierce competitive market, the new system needed to improve customer satisfaction, ensure continuous system operation and curb costs.

Medical Industrie GmbH & Co. KG partnered with Software AG to optimize & streamline their B2B sales with seamless integration.

Hyundai AutoEver faced the challenge of modernizing their applications and technology to provide personalized digital experiences for drivers in their connected cars.

The challenges are as follows:Extreme traffic congestionDegradation of ambient air qualityLack of forecasts for traffic operationsLack of transit fleet operation information from varied transportation systems