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Logistics processes in safe hands

The latest logistics and automation technologies that help to safeguard work processes in large warehouses with complex, around-the-clock global distribution networks require regular changes and improvements to function optimally. At the same time, these modifications also increase the risk of errors or even production stoppages, which are unfavorable situations.

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  • SUPPLIER
  • Auvesy
    AUVESY GmbH is a solid medium-sized enterprise based in Rhineland-Palatinate, Germany. The software versiondog offers worldwide a secure solution for version control and data management in industrial automation. This leading version control software is the basis to heighten production efficiency by reducing errors and downtime; and monitor and control automation projects.
  • INDUSTRIES
  • Transportation
  • FUNCTIONS
  • Logistics & Warehousing
  • CUSTOMER
  • For users in the logistics sector and machine and plant engineering.

  • CONNECTIVITY PROTOCOLS
  • SOLUTION
  • An integrated data management system can be used to detect and document every change made to the control processes of internal transport mechanisms, thus ensuring complete clarity and data availability at all times. By creating a backup copy of the controller's most recent project data as well as a detailed change history, a data management system keeps projects running smoothly and at the highest quality.

  • DATA COLLECTED
  • Backup, Downtime, Logistics Cost, Machine Documentation, Warehousing Costs
  • SOLUTION TYPE
  • SOLUTION MATURITY
  • Mature (technology has been on the market for > 5 years)
  • OPERATIONAL IMPACT
  • Impact #1
    [Data Management - Data Availability]
    The risk of serious problems being caused by incomplete documentation and scattered data storage is avoided, through the use of a fully automated data management system that stores the most recent versions centrally, detects changes down to the last detail and guarantees full documentation.
    Impact #2
    [Efficiency Improvement - Operation]
    Versiondog automatically provides a daily update of supply logistics or other underlying functions. This means the user can immediately react to changes and discrepancies at the start of operations, before they can have an impact on the logistics process as such acting as a safeguard.
    Impact #3
  • QUANTITATIVE BENEFIT
  • USE CASES
  • Process Control & Optimization
    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 optimization: The 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 procedures: Operating 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 optimization: In 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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