Förbättrad livscykelvärdering för prestationsbaserad logistik

Enhanced life cycle assessment for performance-based logistics

Goals/targets: To improve the competitiveness of the Swedish aerospace industry it has become increasingly important to ensure the availability and reliability of analyses based on the heterogeneous datasets that are generated during the lifecycles of airborne platforms and their support systems. This is a critical capability when offering, contracting and implementing performance-based business solutions, such as Performance-Based Logistics (PBL) and Contracted Logistic Support (CLS). These business solutions mean that the supplier and customer relations are increasingly being focussed on the delivery of services at a fixed price based on, and evaluated by, certain key performance indicators (e.g. Power by the Hour). Consequently, it is essential that correct information can be quickly and reliably extracted from the often noisy and heterogeneous operational data to enable continuous analysis as decision-support for proactive Operational Performance Monitoring (OPM) and Life Cycle Management (LCM). Such analyses are also important for optimizing of maintenance resources during parallel phase-out and phase-in of different versions of aircraft, rotables and support equipment, while simultaneously ensuring the contracted availability at a reasonable Life Cycle Cost (LCC) and Life Support Cost (LSC). Such parallel phase-in and phase-out are becoming increasingly challenging and critical due to the long life cycles and continuous product improvement of modern aircraft systems and need to be based on robust analysis, modelling and simulations. The goal of this project is to develop methodologies and software tools for data mining of operational data and to improve and streamline existing methodologies for follow-up and analysis of the aircraft system and support systems throughout their respective life cycles. This will enable better decision-support when predicting and reviewing a variety of business solutions in both the military and civil aerospace sector, but will also be applicable in the energy, process industry and transportation sectors, which deal with complex technical systems with long life cycles. Result and effects: The research focuses on the enhancement from a dependability perspective of the utilisation of data that is generated throughout the lifecycle of complex technical systems. Hence, the management of data is intended to support improvements of both the technical system and its support systems, i.e. with regard to availability performance and its three inherent factors: reliability performance; maintainability performance; and maintenance support performance. Therefore aspects of collection, analysis, modelling, simulation and presentation of data and information for dependability improvements are in focus. The research project aims to improve the utilisation of data generated throughout the lifecycle of complex technical systems from a dependability perspective. Hence, the management of data and information is intended to support improvements of both the technical system and its support systems, i.e. with regard to availability performance and its three inherent factors: reliability performance; maintainability performance; and maintenance support performance. Thereby, aspects of collection, analysis and presentation of data and information for dependability improvements are in focus in the project. Furthermore, aspects of analysis, modelling and simulation are also in the spotlight. Planning and implementing: The applied research process is mainly based on the four phases of the research project described in the attached Project description for NFFP5-2009-01335. These phases are: feasibility studies, case studies, methodology development, and finalisation. The first phase is intended to explore the research area and perform some detailed feasibility studies on selected topics. This phase is mainly based on a theoretical study covering aspects of dependability, system lifecycle, analysis methodologies, and modelling. The second phase of the project mainly consists of a number of case studies. The third phase consists about the methodology development, it mainly consists of the development of requirements on a tool for modelling and simulation that supports dependability analysis of aircraft system fleets throughout their lifecycles. The fourth phase is the finalisation of the project, it is summarised in a project report. Reports will be written continously during the whole project.