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A decision-support methodology for the optimisation of performance-based services

Abstract : To remain competitive within the aeronautic industry, companies are developing various strategies to gain a competitive edge as the Total Cost of Ownership (TCO) increases with complex aeronautical acquisition and support programs. Customers are focusing their needs on the operational availability of such systems and are no longer willing to pay a premium for such a service, consequently the supplier is challenged to minimize the TCO whilst retaining a high level of fleet performance. In such accords, some of the operational performance risk is transferred back to the supplier and are usually in the form of financial penalties, which consequently creates a financial risk on the profitability of the contract for the supplier. This research addresses the problem from the point of the supplier when considering different strategic options for the sale and offer of performance-based aeronautic services that guarantee fleet availability. The methodology considers the complex system, as is typical with current aeronautic systems, relating support mechanisms, and the multiple yet contradictory objectives to achieve as a supplier. The methodology proposed covers the categories of Availability, Reliability, Maintainability and Supportability; it considers the complex system as a whole including the interactions within this system and the relationships between availability performance and cost. Additional other contributing factors are also considered within this support mechanism, such as the types of uncertainty on system performance, data, financial risks and costs. The introduction of a penalty model for use with Performance-Based Service (PBS) offers within the aeronautic industry is also provided. A methodology for penalty analysis is proposed through the two case studies presented in this thesis, giving the supplier a competitive advantage through the ability to predict the probability distribution of system performance and to quantify the financial risk for the penalty model in question. The analysis 5 methodology also demonstrates that the ability to perform risk analysis on contractual penalties is just as important to the supplier as the ability to predict overall system performance, as the findings present that it is quite possible to have a large financial risk exposure if the wrong penalty scenario is chosen even if the predicted Fleet Availability performance is above the targeted or contracted rate.
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Contributor : Frédéric Pruvost Connect in order to contact the contributor
Submitted on : Wednesday, September 29, 2021 - 6:22:45 PM
Last modification on : Tuesday, November 23, 2021 - 9:44:38 AM


  • HAL Id : tel-03359025, version 1


André Pozzetti. A decision-support methodology for the optimisation of performance-based services. Computer Science [cs]. Université de Valenciennes et du Hainaut-Cambrésis, 2015. English. ⟨NNT : 2015VALE0013⟩. ⟨tel-03359025⟩



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