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Major Services Provider Cuts the Price of Success

To support continued growth, Cofely wanted to move to a scale-out storage solution that streamlined costs and avoided expensive forklift upgrades.

  • Dell Technologies
    Dell Technologies is Dell, Dell EMC, Pivotal, RSA, SecureWorks, Virtustream, and VMware. We’re a collective force of innovative capabilities trusted all over the world to provide technology solutions and services that accelerate digital transformation.
  • Construction & Buildings
  • Logistics & Warehousing
  • Cofely Refrigeration is a manufacturer of refrigeration solutions. They specialize in integrating refrigeration efficiently into clients' processes.

  • Supported by data centre provider Synaix, Cofely Germany deployed Dell Compellent FS8600 with Intel Xeon processors and Fluid File System technology. It expanded an existing server environment with Dell PowerEdge R720 servers.

  • Logistics Cost, Process Inputs, Process Outputs, Warehousing Costs
  • Mature (technology has been on the market for > 5 years)
  • Impact #1
    [Cost Reduction - IT]
    System performance and efficiency were improved with a scalable solution than minimized capital investment.
    Impact #2
    [Cost Reduction - Procurement]
    Total cost of ownership is lowered due to a reduction in fixed capital.
    Impact #3
  • Benefit #1

    Cofely Germany realized a 20% improvement in application performance as a result of moving to Dell storage.

    Benefit #2

    Reports from the Dell Compellent system show that disk utilisation has improved by 10%.

    Benefit #3

    Cofely Germany will lower expenditure on scaling its storage by 20-30% with Dell Compellent.

  • Process Control & Optimization (PCO)
    Process Control and Optimization (PCO) is the discipline of adjusting a process to maintain or optimize a specified set of parameters without violating process constraints.The PCO market is being driven by rising demand for energy efficient production processes, safety and security concerns, and the development of IoT systems that can reliably predict process deviations.Fundamentally, there are three parameters that can be adjusted to affect optimal performance:- Equipment optimizationThe first step is to verify that the existing equipment is being used to its fullest advantage by examining operating data to identify equipment bottlenecks.- Operating proceduresOperating procedures may vary widely from person-to-person or from shift-to-shift. Automation of the plant can help significantly. But automation will be of no help if the operators take control and run the plant in manual.- Control optimizationIn a typical processing plant, such as a chemical plant or oil refinery, there are hundreds or even thousands of control loops. Each control loop is responsible for controlling one part of the process, such as maintaining a temperature, level, or flow. If the control loop is not properly designed and tuned, the process runs below its optimum. The process will be more expensive to operate, and equipment will wear out prematurely. For each control loop to run optimally, identification of sensor, valve, and tuning problems is important. It has been well documented that over 35% of control loops typically have problems. The process of continuously monitoring and optimizing the entire plant is sometimes called performance supervision.
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