With an overwhelming response to the release of their IoT solution, Elisa needed a way to manage the flood in demand without compromising on their customer satisfaction or quality.

- 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

Field engineers and service teams often lack data and digital insights needed to assess, troubleshoot, and determine work scope for the large industrial assets in performing corrective and preventative maintenance activities. QA engineers many times need to understand why a particular problem in the part is happening recurrently or why parts from suppliers don’t stack up well in the assemblies due to mismatch. The root cause is usually hidden in design, manufacturing processes, supply chain logistics or production planning. But without the right data and digital insights, it's hard to pinpoint. GOAL To collect information in the design, manufacturing, service, supply-chain setup and provide access to and intelligent analytics for industrial manufacturing and performance data, to identify the root cause easier. Such insights can improve not only service and owner/operator productivity, but also provide critical feedback to the design engineering and manufacturing operations teams for continuous improvement.

Pella’s commitment to continually improve its processes for its team members and the environment has led the company to seek innovative technologies that advance overall productivity and the quality of its manufacturing operations.

Due to Finder's steady growth in the market, Finder needed to upgrade its IT infrastructure to meet the requirements such as increase data availability and storage capacity plus ensure a robust business continuity plan. Any new solution also had to be scalable to match a future expansion of the business.

Developing a multiphase flowmeter system to indicate the rate of flow of fluid.

The TriRivers system allows doctors to access critical healthcare applications as well as consult in real-time to UW Health for eICU and other services. Top priorities are maintaining a clean, reliable supply of power across the network and receiving warnings and intervening before a potential problem can result in downtime. Data security for patients is another major concern.

Joy equipment faces many challenges. The first is machine integration and control. The business end of the machine has a rapidly-spinning cylinder with 6-inch diamond-studded cutting teeth. It chews through rock at rates measured in tens of tons per minute. The system grinds through the rock in front, creating a rectangular mine tunnel. Hydraulic lifters support the ceiling as the machine moves forward. Automated drills and screws drive 3-ft long screws into the ceiling to stabilize it. The rock and coal fall into a set of gathering "fingers" below the cutting cylinder. These fingers scoop up the rock and coal and deposit it onto a conveyor belt. The conveyor passes under the machine and out the back. A train of conveyor belt cars, up to a mile long, follows the cutter into the mine. The rock shoots along this train at over 400 feet per minute until it empties into rail cars at the end. Current systems place an operator cage next to the cutter. Choking dust (potentially explosive), the risk of collapse and the proximity of metal and rock mayhem make the operator cage a hazardous location.

In-vehicle communications and entertainment system hosts high-value or sensitive applications. API libraries facilitate communication and sharing of vehicle data. These API libraries are vulnerable to reverse engineering and tampering attacks and may even result in loss of passenger safety. Attackers can inject malware that may be able to migrate to other in-car networks such as the controller-area-network (CAN) bus which links to the vehicle’s critical systems. Software provided for dealers to interface with cars through the OBD2 port is vulnerable to reverse engineering and tampering attacks. Hackers may be able to abuse these tools to inject malicious code into the ECUs and CAN bus. Attackers can lift the cryptographic keys used, and use that to build their own rogue apps/software. Their cloned version of the original app/software may have altered functionality, and may intend to gain access to other in-car networks.

A key aspect of Mobisol’s business model is ensuring that the agreed installments are paid on time. Therefore, the solar home systems needed to be fitted with SIM cards that cannot be removed without destroying the devices. If payments are not made the system can be switched off remotely. Mobisol was looking for a mobile partner that was able to provide SIMs and mobile coverage in the across the east African countries in which it operates.

The company’s polymer mixing process was producing output of inconsistent quality, with yields sometimes dipping as low as 50% or 60%. The scrapping of poor batches created huge costs and was crippling production capacity. The root cause was traced to ever-changing product specifications, in addition to variations in a range of production parameters. Production engineers were unable to stabilize the process using traditional approaches as mixing polymer was stubbornly unstable and each new product formulation only exacerbated the problem. To solve this issue, this global manufacturer needed a solution that provided the following capabilities: • Ingest and integrate Internet of Things (IoT) data from machinery, sensors, the environment and other sources • Discover the critical factors and optimal process parameters through correlation, visual analysis, and optimization algorithms • Provide deep process insight, enabling daily decision support and continuous improvement • Dynamically and continuously optimize the process through machine learning

Fuji Xerox faced several challenges. Delivery inquiries from distributors had to be manually associated with order information and container B/L documents. Response to delivery inquiries was slow and delivery date estimates inaccurate because Fuji Xerox had to contact each transportation carrier for shipment status updates before warehousing dates could be estimated. Manual handling of an average of 1,800 inquiries a month created an excessive workload for staff. Distributors had begun securing extra stock in a system known as just-in-case inventory to prevent inventory shortages at hub warehouses in each region, leading to chronic over-inventory

Full-store audits involve making sure that items are in stock, in the right place, and marked at the correct price. These tasks must be repeated over and over, typically take several hours to complete, and tend to be very inaccurate when done by humans.

The customer company need a centric-view of all equipment & assets, so as to enable RCM (Reliability-Centered Maintenance) and TPM (Total Productive Maintenance) process. The customer's goal is to fully utilize the life-cycle of equipment and thus improving their OEE (Overall Equipment Effectiveness).

With a mature business comprising connected field instruments for remote monitoring, Sysmex realized that the next step in order to transform their business would be to unlock more value from their data. The only way they could outpace their competitors would be to deliver higher quality customer service and improve their internal operational efficiency.

General Atomics had to meet strict requirements for data bandwidth and availability. They could have designed and implemented a custom solution for data integration on their own, but that would have significantly delayed the project. Plus the lifecycle cost of developing and maintaining a custom software solution for a specific project can be enormous.

This document summarizes the manufacturing execution system (MES), or manufacturing operations management (MOM) solution implemented by an Aerospace parts manufacturer in order to introduce full-accountability into their assembly processes. The MES/MOM delivered “integrity of process” by providing a control system which managed all aspects of the assembly process; and created a closed-loop of accountability, delivering the desired results every-single-time.A critical aspect to the achievement of their goal was the management of a new assembly line workforce. The true test of the dependability on the MES/MOM system was it empowered operators with little to no experience to build sophisticated electronic components to the highest quality standards. It is also noteworthy that the MES/MOM was able to be integrated and operational in a very short time frame in less than four (4) days.

Due to doubled data traffic demand, Telstra wanted a solution that can meet insatiable high-speed mobile broadband demand and secure a smooth network migration while re-farming spectrum.