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Crossing the Atlantic to Argentina

Between 2005 and 2010, Aluar went through a substantial growth phase where most of the production facilities were upgraded. As a result of this expansion, the number of PLCs increased from 100 to 300. When it came to managing the control program software, however, flaws and cracks began to show in the established workflow and version control procedures that had prior to the growth phase, been based on manual backups and documentation.
A rapid growth in the number of automation and maintenance staff (>100 users) also coincided with increasing accounts of infrequent and incomplete documentation of software versions, which then required an increasing effort where bug tracing and detection were concerned.
This increased the risk of incidents that could not only affect operation, but that could also result in stoppages at the mid-term. It also increased the risk of safety risks remaining undetected.

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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
  • Mining
  • FUNCTIONS
  • Maintenance
  • CUSTOMER
  • Aluar is one of the largest aluminium producers worldwide and employs a workforce of 2,245 employees. In 2013, it generated a record revenue of 1.2 billion US dollars. The company is Argentina’s only producer of primary aluminium and has a production capacity which averages around 460,000 tons. More than two thirds of the primary aluminium that it produces is exported. Aluar produces ingots, bars, wire and aluminium alloys, which it then supplies to such industries as construction and automotive, to name a few.
  • CONNECTIVITY PROTOCOLS
  • SOLUTION
  • The data management system versiondog
  • DATA COLLECTED
  • SOLUTION TYPE
  • SOLUTION MATURITY
  • Mature (technology has been on the market for > 5 years)
  • OPERATIONAL IMPACT
  • Impact #1
    [Data Management - Data Storage]
    centralized data storage
    Impact #2
    [Data Management - Data Security]
    Traceability who changed what when and why
    Impact #3
    [Efficiency Improvement - Operation]
    no longer time intesive searches for the latest plc version
  • QUANTITATIVE BENEFIT
  • USE CASES
  • Asset Health Management (AHM)
    Asset Health Management refers to the process of analyzing the health of an asset as determined by operational requirements. The health of an asset in itself relates to the asset's utility, its need to be replaced, and its need for maintenance. It can be broken down into three key components: 1) Monitoring: Tracking the current operating status of the asset. 2) Diagnostic Analysis: Comparing real-time data to historical data in order to detect anomalies. 3) Prognostic Analysis: Identifying and prioritizing specific actions to maximize the remaining useful life of the asset based on analysis of real-time and historical data.
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