Provider-Driven Knowledge Allocation Concept for Improving Technical Repair Tasks in IPS 2 Networks

Abramovici, Michael; Gebus, Philip; Göbel, Jens Christian; Savarino, Philipp

doi:10.1016/j.procir.2017.03.120

Cited by 7 publications

(1 citation statement)

References 13 publications

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“…In addition to it, as mentioned by [8], although the prescriptive maintenance concepts deliver promising results, the generalizability of the approach has not been tested yet and, as future work, the concept shall be validated in different industries to test its generalizability.…”

Section: 3384/ecp19162027mentioning

confidence: 99%

Prescriptive Maintenance: Building Alternative Plans for Smart Operations

Marques

Giacotto

2019

Proceedings of the 10th Aerospace Technology Congress, October 8-9, 2019, Stockholm, Sweden

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Smart operations require the ability to generate alternative plans whenever a change in operations occurs in an unplanned manner. Alternate maintenance plans, in a highly dynamic context such as airline operations, require the ability to foresee small developments in terms of labor allocation, repairable items, and downtime, when and where they were not previously scheduled. In addition to being able to cause the disruption of the air transport network and consequent financial losses, it causes loss of trust in the company brand. Prescriptive maintenance is a potential technological response when using Artificial Intelligence to suggest alternative plans promptly so that decisionmakers can reduce the impact on air operations. This paper proposes a framework for the construction of an integrated prescriptive maintenance solution that is certifiable by using auditable methods and extensible to complex systems of other industries. The adoption of prescriptive maintenance not only enhances the use of health management systems, widely available in modern aircraft fleets that have the potential to predict the remaining useful life of items of interest, but also allows identifying more than one response alternative to conflicts of interest in the conduction of the smart operations of air transport companies.

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Section: 3384/ecp19162027mentioning

confidence: 99%