Making use of prognostics health management information for aerospace spare components logistics network optimisation

  • Authors:
  • Nirupam Julka;Annamalai Thirunavukkarasu;Peter Lendermann;Boon Ping Gan;Arnd Schirrmann;Helge Fromm;Elaine Wong

  • Affiliations:
  • D-SIMLAB Technologies Pte Ltd, 8 Jurong Town Hall Road, #30-04 JTC Summit, Singapore 609434, Singapore;D-SIMLAB Technologies Pte Ltd, 8 Jurong Town Hall Road, #30-04 JTC Summit, Singapore 609434, Singapore;D-SIMLAB Technologies Pte Ltd, 8 Jurong Town Hall Road, #30-04 JTC Summit, Singapore 609434, Singapore;D-SIMLAB Technologies Pte Ltd, 8 Jurong Town Hall Road, #30-04 JTC Summit, Singapore 609434, Singapore;EADS Innovation Works, Dept. TCC7, IW-IC-FS, Neípriel 1, 21129 Hamburg, Germany;EADS Innovation Works, Dept. TCC7, IW-IC-FS, Neípriel 1, 21129 Hamburg, Germany;EADS Innovation Works Singapore, 110 Seletar Aerospace View, Singapore 797562, Singapore

  • Venue:
  • Computers in Industry
  • Year:
  • 2011

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Abstract

Although research has evolved significantly over the last decade, there are still a large number of Grand Challenges confronting modelling, model deployment, and model-based decision making of large-scale complex Discrete Event Logistics Systems (DELS) to be tackled, as identified and reviewed during a Dagstuhl workshop in March 2010. This paper illustrates how several of these challenges are already being addressed, based on a series of case studies from the Aerospace Spare Components Logistics domain, where consolidated operational Prognostics and Health Management (PHM) information can be used for tactical planning and optimisation of spare components logistics networks. In this setting, the growing potential of PHM technology to facilitate the maintenance and support of commercial and military aircraft emphasises the need for tools to determine the impacts and benefits of a PHM system. To achieve this, the prognostics parameters and related logistics policies were identified, modelled, and subsequently incorporated into a simulation-based decision support framework.