Research Article

A Methodological Framework for Financial Feasibility and Stochastic Modeling of Performance-Based Logistics (PBL) in Aviation

Volume: 10 Number: 1 February 27, 2026

A Methodological Framework for Financial Feasibility and Stochastic Modeling of Performance-Based Logistics (PBL) in Aviation

Abstract

This study investigates the financial feasibility and operational implications of Performance-Based Logistics (PBL) contracts within the aerospace industry, addressing the critical gap between theoretical frameworks and practical financial modelling. Unlike traditional transactional "pay-per-part" models, PBL aligns service provider incentives with system availability and long-term reliability. This research provides a robust methodological framework for analyzing PBL contracts, incorporating a stochastic spare parts calculation using the Poisson Distribution and a comprehensive five-year financial projection for a complex aircraft avionics suite. By critically evaluating the strategic trade-offs between front-loaded R&D investments and the subsequent breakeven point, the study demonstrates how targeted interventions in high-impact failure nodes can optimize both provider profitability and fleet readiness. The findings reveal that the "Learning Curve" effect and the systematic reduction of failure rates are structural necessities for achieving mutual gains. This research moves beyond descriptive analysis to offer a practical, data-driven guide for calculating the financial and operational sustainability of PBL applications in high-reliability aviation systems.

Keywords

References

  1. Baines, T. S., Lightfoot, H. W., Benedettini, O., & Kay, J. M. (2009). The servitization of manufacturing: A review of literature and identified research agenda. Journal of Manufacturing Technology Management, 20(5), 547-567.
  2. Blanchard, B. S. (2004). Logistics engineering and management. Pearson Prentice Hall.
  3. Gayer, C. F. (2010). Poisson model: Assessment of Poisson model for airliners' repairable spare parts demand forecasting. [Technical Report].
  4. Guajardo, J. A., Cohen, M. A., Netessine, S., & Kim, S. H. (2012). Impact of performance-based contracting on product reliability. Management Science, 58(5), 961-979.
  5. Hypko, P., Tilebein, M., & Gleich, R. (2010). Performance-based bundling to facilitate revenue-predictability. Journal of Service Management, 21(5), 673-690.
  6. Kaul, F. T., & Stefka, T. (2008). Initial provisioning training - Part 3: The mathematical model. Airbus Provisioning Services, No. 12.
  7. Kim, S. H., Cohen, M. A., & Netessine, S. (2007). Performance-based contracting for after-sales service supply chains. Management Science, 53(12), 1843-1858.
  8. Sherbrooke, C. C. (2004). Optimal inventory modeling of systems: Multi-echelon techniques (METRIC). Springer.

Details

Primary Language

English

Subjects

Aerospace Engineering (Other)

Journal Section

Research Article

Early Pub Date

February 27, 2026

Publication Date

February 27, 2026

Submission Date

November 14, 2025

Acceptance Date

January 27, 2026

Published in Issue

Year 2026 Volume: 10 Number: 1

APA
Kemerlioğlu, Ö., & Kemerlioğlu, A. (2026). A Methodological Framework for Financial Feasibility and Stochastic Modeling of Performance-Based Logistics (PBL) in Aviation. Journal of Aviation, 10(1), 139-145. https://doi.org/10.30518/jav.1823694
AMA
1.Kemerlioğlu Ö, Kemerlioğlu A. A Methodological Framework for Financial Feasibility and Stochastic Modeling of Performance-Based Logistics (PBL) in Aviation. JAV. 2026;10(1):139-145. doi:10.30518/jav.1823694
Chicago
Kemerlioğlu, Ömer, and Aylin Kemerlioğlu. 2026. “A Methodological Framework for Financial Feasibility and Stochastic Modeling of Performance-Based Logistics (PBL) in Aviation”. Journal of Aviation 10 (1): 139-45. https://doi.org/10.30518/jav.1823694.
EndNote
Kemerlioğlu Ö, Kemerlioğlu A (February 1, 2026) A Methodological Framework for Financial Feasibility and Stochastic Modeling of Performance-Based Logistics (PBL) in Aviation. Journal of Aviation 10 1 139–145.
IEEE
[1]Ö. Kemerlioğlu and A. Kemerlioğlu, “A Methodological Framework for Financial Feasibility and Stochastic Modeling of Performance-Based Logistics (PBL) in Aviation”, JAV, vol. 10, no. 1, pp. 139–145, Feb. 2026, doi: 10.30518/jav.1823694.
ISNAD
Kemerlioğlu, Ömer - Kemerlioğlu, Aylin. “A Methodological Framework for Financial Feasibility and Stochastic Modeling of Performance-Based Logistics (PBL) in Aviation”. Journal of Aviation 10/1 (February 1, 2026): 139-145. https://doi.org/10.30518/jav.1823694.
JAMA
1.Kemerlioğlu Ö, Kemerlioğlu A. A Methodological Framework for Financial Feasibility and Stochastic Modeling of Performance-Based Logistics (PBL) in Aviation. JAV. 2026;10:139–145.
MLA
Kemerlioğlu, Ömer, and Aylin Kemerlioğlu. “A Methodological Framework for Financial Feasibility and Stochastic Modeling of Performance-Based Logistics (PBL) in Aviation”. Journal of Aviation, vol. 10, no. 1, Feb. 2026, pp. 139-45, doi:10.30518/jav.1823694.
Vancouver
1.Ömer Kemerlioğlu, Aylin Kemerlioğlu. A Methodological Framework for Financial Feasibility and Stochastic Modeling of Performance-Based Logistics (PBL) in Aviation. JAV. 2026 Feb. 1;10(1):139-45. doi:10.30518/jav.1823694

Journal of Aviation - JAV 


www.javsci.com - editor@javsci.com


9210This journal is licenced under a Creative Commons Attiribution-NonCommerical 4.0 İnternational Licence