LPW-E/1.2.3/1700 — Digitalisation Service and Maintenance (Q3333006): Difference between revisions

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(‎Created claim: summary (P836): The aim of the project is to digitise the work processes and processes in the area of technical service and plant maintenance in order to save costs, increase efficiency, optimise service deployment planning and improve communication with the customer. The use of remote monitoring technologies is intended to optimise the support and service and maintenance of the plants. Due to appropriate data analysis, predictive maintenance should be made pos...)
(‎Changed label, description and/or aliases in en: translated_label)
label / enlabel / en
 
LPW-E/1.2.3/1700 — Digitalisation Service and Maintenance

Revision as of 08:06, 25 October 2021

Project Q3333006 in Germany
Language Label Description Also known as
English
LPW-E/1.2.3/1700 — Digitalisation Service and Maintenance
Project Q3333006 in Germany

    Statements

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    142,693.05 Euro
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    303,602.24 Euro
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    47.0 percent
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    1 September 2020
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    31 March 2022
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    P.E.R. Flucht- und Rettungsleitsysteme GmbH
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    22926 Ahrensburg
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    Das Projekt hat zum Ziel die Arbeitsprozesse und Abläufe im Bereich des technischen Service und der Wartung von Anlagen zu digitalisieren um so die Kosten einzusparen, die Effizienz zu erhöhen, die Serviceeinsatzplanung zu optimieren und die Kommunikation zum Kunden zu verbessern. Durch den Einsatz von Fernmonitoring-Technologien sollen die Betreuung und der Service und die Wartung der Anlagen optimiert werden. Aufgrund von geeigneter Datenanalyse soll eine vorausschauende Wartung ermöglicht werden. (German)
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    The aim of the project is to digitise the work processes and processes in the area of technical service and plant maintenance in order to save costs, increase efficiency, optimise service deployment planning and improve communication with the customer. The use of remote monitoring technologies is intended to optimise the support and service and maintenance of the plants. Due to appropriate data analysis, predictive maintenance should be made possible. (English)
    25 October 2021
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    Identifiers

    DE_TEMPORARY_35651
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