A Modular Framework for the Life Cycle Based Evaluation of Aircraft Technologies, Maintenance Strategies, and Operational Decision Making Using Discrete Event Simulation

Current practices for investment and technology decision making in aeronautics largely rely on regression-based cost estimation methods. Although quick to implement and easy to use, they suffer from a variety of limitations, both in temporal space and scope of applicability. While recent research and development in this area addresses these to a certain extent, aerospace engineering still lacks a flexible and customizable valuation framework. To this end, a generic environment for economic and operational assessment of aircraft and related products named LYFE is presented. This tool employs a discrete event simulation which models the product life cycle from its order through decades of operation and maintenance until disposal. This paper introduces its key characteristics and default methods alongside its modular program architecture. The capabilities are demonstrated with a case study of on-wing engine cleaning procedures which are triggered by a customized decision making module. Thereby, the impact on engine health, fuel efficiency and overall economic viability is quantified. On the whole, the framework introduced in this paper can be used to analyze not only physical products but also operational procedures and maintenance strategies as well as specified decision making algorithms in terms of their impact on an aircraft’s or system’s life cycle.

[1]  Alexander Layer,et al.  Recent and future trends in cost estimation , 2002, Int. J. Comput. Integr. Manuf..

[2]  Marco Fioriti,et al.  Cost-Estimating Model for Aircraft Maintenance , 2018, Journal of Aircraft.

[3]  Eike Stumpf,et al.  Central Reference Aircraft data System (CeRAS) for research community , 2016 .

[4]  A. Saltelli,et al.  Making best use of model evaluations to compute sensitivity indices , 2002 .

[5]  Richard Curran,et al.  Integrating Aircraft Cost Modeling into Conceptual Design , 2005, Concurr. Eng. Res. Appl..

[6]  A. C. K. Leung.  The development of an integrated cost estimation system , 1996 .

[7]  Ali Elham,et al.  Winglet multi-objective shape optimization , 2014 .

[8]  Olivia J. Pinon-Fischer,et al.  A flexible multi-disciplinary environment for performance, life-cycle cost, and safety evaluation of suborbital vehicles , 2018 .

[9]  Nicolas Perry,et al.  Whole life-cycle costs: a new approach , 2006 .

[10]  B. Blanchard,et al.  Life-cycle cost and economic analysis , 1991 .

[11]  C Cuerno-Rejado,et al.  Conceptual design of a medium-sized joined-wing aircraft , 2010 .

[12]  Christophe Viavattene,et al.  An uncertainty index to measure the feasibility of Whole‐Life Cycle Costing approach in flood risk management , 2012 .

[13]  Kai Wicke,et al.  An Assessment of the Economic Viability of Engine Wash Procedures on the Lifecycle Costs of an Aircraft Fleet. , 2021 .

[14]  James Scanlan,et al.  Modelling the Life Cycle Cost of Aero-engine Maintenance , 2008 .

[15]  Dimitri N. Mavris,et al.  Aircraft and engine economic evaluation for fleet renewal decision-making and maintenance contract valuation , 2015 .

[16]  Kai Wicke,et al.  An Analysis of the Influence of Network Effects on Lifecycle Based Aircraft Technology Assessment , 2020 .

[17]  Francesca Montagna,et al.  A Multilayer Taxonomy of Cost Estimation Techniques, Looking at the Whole Product Lifecycle , 2018 .

[18]  Richard Curran,et al.  Aircraft Bi-level Life Cycle Cost Estimation , 2015, ISPE CE.

[19]  Richard Curran,et al.  Review of Aerospace Engineering Cost Modelling: The Genetic Causal Approach , 2004 .

[20]  Jian S. Dai,et al.  Product Cost Estimation: Technique Classification and Methodology Review , 2006 .

[21]  Rashid Ali,et al.  A Comparative Study of Cost Estimation Models used For Preliminary Aircraft Design , 2014 .

[22]  S. E. Zarantonello,et al.  A note on piecewise linear and multilinear table interpolation in many dimensions , 1988 .

[23]  Yuchun Xu,et al.  Cost Engineering for manufacturing: Current and future research , 2012, Int. J. Comput. Integr. Manuf..

[24]  Larry K. B. Li,et al.  Analysis of direct operating cost of wide-body passenger aircraft: A parametric study based on Hong Kong , 2019, Chinese Journal of Aeronautics.

[25]  Dimitri N. Mavris,et al.  A Hierarchical Aircraft Life Cycle Cost Analysis Model , 1995 .

[26]  James Scanlan,et al.  Framework for Aircraft Cost Optimization Using Multidisciplinary Analysis , 2012 .

[27]  I. Sobol,et al.  Global sensitivity indices for nonlinear mathematical models. Review , 2005 .

[28]  Alexander Lau,et al.  Cloud Encounter Impact on Operational and Economical Effectiveness of Hybrid-Laminar-Flow-Control Aircraft , 2019, Journal of Aircraft.

[29]  C. Fortuin,et al.  Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory , 1973 .

[30]  Yong Zhao,et al.  A Fractionated Spacecraft System Assessment Tool Based on Lifecycle Simulation Under Uncertainty , 2012 .

[31]  Johannes Hartmann,et al.  Comparison of Direct Operating Cost and Life Cycle Cost-Benefit Methods in Aircraft Technology Assessment , 2018 .

[32]  James Scanlan,et al.  Life cycle cost modelling as an aircraft design support tool , 2010 .

[33]  Yuchun Xu,et al.  A generic life cycle cost modeling approach for aircraft system. , 2008 .

[34]  Michael N. Beltramo,et al.  Beyond parametrics: The role of subjectivity in cost models , 1988 .

[35]  George Van Bodegraven.  Commercial aircraft DOC methods , 1990 .

[36]  Antony R Mileham,et al.  Predicting the whole-life cost of a product at the conceptual design stage , 2008 .

[37]  Ilan Kroo,et al.  Aircraft Route Optimization for Formation Flight , 2014 .