NVvl

NVvL lezing 'Data mining for MRO process optimization' op 14 december 2016

(09-dec-2016)

Data mining for MRO process optimization

door

Robert Jan de Boer en Maurice Pelt (Hogeschool van Amsterdam)

 

Woensdag 14 december 2016 (19:00 – 21:00 uur)

bij

Hogeschool van Amsterdam, auditorium D.1.18 (Weesperzijde 190, 1097 DZ Amsterdam)

Summary

On Wednesday December 14th the NVVL will present a lecture on Data Mining in Aviation Maintenance. Robert J. de Boer and Maurice Pelt of the Aviation Academy at the Hogeschool of Amsterdam will introduce you to some of the work that has recently been executed by students at local Maintenance, Repair and Overhaul (MRO) companies on Data Mining. These activities have now been bundled in a project that is subsidized by the Dutch Department of Education and that aims to identify a generic approach to benefit all aviation MRO companies. Through this project, we aim to develop new knowledge of - and a method for - data mining within the aircraft maintenance environment through practical MRO use cases. It is expected that the project will (1) yield new information on how data mining can be best deployed in the Maintenance Repair and Overhaul (MRO) environment and (2) produce practical descriptive and predictive knowledge to further optimize the MRO process.

In order to stay competitive and respond to the increasing demand for short and predictable aircraft turnaround times, process optimization has been identified as the key element for innovation. The aim is shorter and better controlled aircraft down times and lower maintenance costs. Lean processes are an essential part of increasing delivery reliability and shortening lead times. However, part of the aircraft maintenance process remains characterized by unpredictable process times and material requirements leading to necessary capacity- or work-buffers (e.g. time, WIP, manpower). To tackle this problem of unpredictability, MRO’s are looking to apply ‘big data’ to improve their maintenance process. In theory, big data has a predictive value for the maintenance process as a whole and the actual need for maintenance of separate components.

Belangstellenden dienen zich uiterlijk 13 december a.s. hier aan te melden.

Om 18.00 uur staan koffie en een broodje gereed!

NVvL: Illustratie