Maintenance & Reliability 9 min read

Optimizing Obsolescence Costs of Complex Systems: An Engineering Approach for Aerospace and Energy in 2026

Technical analysis: federico2

1. Introduction: The Problem of Obsolescence in Complex Systems in 2026

In the aerospace and energy industries, operational reliability and equipment lifespan are critical. Complex systems, such as power plant turbines or on-board aeronautical computers, integrate thousands of components whose availability is subject to manufacturers' life cycles. Obsolescence, defined by the NF EN 62402 standard as the cessation of production or supply of an element, product, process or service, represents a major challenge. In 2026, technological acceleration and the fragility of global supply chains will exacerbate this phenomenon, leading to costly production shutdowns and non-compliance risks. This technical analysis explores strategies for optimizing obsolescence costs, drawing on academic foundations and current industrial practices.

2. Academic Foundations: Obsolescence Cost Analysis

The first academic investigations into the obsolescence of complex systems laid the foundations for modern maintenance engineering. The thesis titled “Optimization of Obsolescence Costs for Complex Systems: Application to a Radar System,” from the University of Naples Federico II, took an in-depth look at the cost dynamics associated with the phasing out of specific components. This research highlighted the importance of predictive analysis of obsolescence risks, not only in terms of direct replacement cost, but also by considering indirect costs: re-design, qualification, validation and impact on system availability. The initial study developed mathematical models to quantify the financial impact of obsolescence and evaluate mitigation strategies such as Last-Time Buying or finding functionally equivalent replacement parts. The rigorous approach demonstrated that early integration of obsolescence management into system design and maintenance can significantly reduce life cycle costs.

3. Industrial Evolution since 2000: Adaptation to Technological Disruption

Since the founding academic work, the industrial landscape has evolved considerably. The miniaturization of electronic components, increased rates of innovation and the globalization of supply chains have transformed the management of obsolescence. The global maintenance, repair and operations (MRO) market reached approximately €680 billion in 2025, with a growing share dedicated to the management of obsolete assets. Weapons systems, energy infrastructure, and industrial equipment often last decades, while their critical electronic components can become obsolete in less than 5 years. This dichotomy creates constant pressure on maintenance teams. Recent geopolitical shocks and semiconductor shortages have exposed supply vulnerabilities, forcing companies to shift from reactive to proactive obsolescence management. Costs related to obsolescence can represent up to 8% of the total cost of ownership (TCO) of a complex system.

4. Current Best Practices in Obsolescence Management

Leading manufacturers in 2026 are adopting structured strategies to counter obsolescence. These are often governed by the NF EN 62402:2019 standard “Obsolescence management – ​​Principles and requirements for obsolescence management processes”. Best practices include:

  • Strategic Obsolescence Management Plan (SOMP): Integrated from the design phase, it identifies critical components, assesses their risks of obsolescence and plans mitigation actions.
  • Active Monitoring: Use of component lifecycle databases and manufacturer alert services to anticipate obsolescence announcements.
  • Last Minute Purchasing Strategies (LTB): Evaluation of the optimal quantity to stock to cover the remaining life of the equipment, considering storage costs (around 15-20% of the value of the parts per year).
  • Re-design and Reverse Engineering: When components become unavailable, re-designing modules or reverse engineering to reproduce parts with modern technologies becomes a viable solution, subject to rigorous technical validation. Manufacturing tolerances can be critical, often on the order of ±0.01 mm for precision mechanical parts.
  • Identification of Form-Function-Fit (FFF) Replacements: Research and qualification of alternative components with equivalent technical characteristics.

5. Technological Enablers: The Era of Industry 4.0

The advent of Industry 4.0 offers powerful tools for proactive management of obsolescence:

  • IoT (Internet of Things) sensors: Vibration, temperature (e.g. -40°C to +85°C ranges for electronics), pressure (e.g.: up to 200 bar for hydraulic systems) and humidity sensors collect real-time data on the status of equipment. This data makes it possible to extend the lifespan of components by optimizing their use and anticipating failures.
  • Artificial Intelligence (AI) and Machine Learning (ML): Algorithms analyze sensor data and maintenance histories to predict potential failures and risks of component obsolescence. An AI model can anticipate a replacement need 6 months before a critical failure with 90% accuracy.
  • Digital Twins: These virtual replicas of physical assets make it possible to simulate the behavior of systems, test obsolescence scenarios and evaluate the impact of the integration of new components before any physical modification. This reduces qualification risks and costs.
  • Cloud and Big Data Platforms: They provide the infrastructure needed to store, process and analyze vast volumes of data, making the application of AI and digital twins possible on an industrial scale.
  • Blockchain for Traceability: Although less directly linked to prediction, blockchain can increase transparency and traceability of components in the supply chain, helping to authenticate parts and manage suppliers more reliably.

6. Practical Guide for Factory Implementation

For a factory manager or purchasing director, implementing an effective obsolescence management strategy is as follows:

  1. Audit and Asset Mapping: Identify all critical systems and their components, prioritizing those with a long lifespan and those subject to rapid obsolescence (e.g. on-board electronics). Use a standardized nomenclature.
  2. Obsolescence Risk Assessment: For each critical component, assess the risk of becoming obsolete and its potential impact on the operation. Use product life cycle analysis (PLM) tools.
  3. Development of an Obsolescence Management Plan (SOMP): Establish a detailed plan in accordance with the NF standard EN 62402, specifying preventive actions, responsibilities and budgets.
  4. Technological Integration: Deploy IoT sensors on key equipment and implement a predictive analytics platform (AI/ML) to monitor status and anticipate needs. A PdM system can reduce unplanned downtime by 20%.
  5. Strategic Partnerships with MRO Suppliers: Collaborate with specialized distributors like UNITEC-D, capable of managing strategic stocks, identifying FFF equivalences or proposing re-design solutions.
  6. Continuous Team Training: Ensure that maintenance and engineering personnel are trained in new technologies and obsolescence management methodologies.

7. Return on Investment (ROI) and Profitability Analysis

Investing in proactive obsolescence management generates a significant return on investment. Industrial case studies show:

  • Reduction in Maintenance Costs: A reduction in maintenance costs of approximately 15% to 40% by optimizing replacements and eliminating emergency purchases, often billed at a premium of 50% or more.
  • Extension of Asset Life: An extension of the operational life of equipment from 5 to 10 years, avoiding premature capital investments. For example, a turbine with a critical component's MTBF of 75,000 hours can have its life extended by several years through predictive monitoring and replacement.
  • Reduction in Unplanned Downtime: A reduction of 15% to 30% in unplanned downtime, which translates into considerable production savings (e.g. up to €100,000 per hour of downtime for an aeronautical production line).
  • Inventory Optimization: Better management of LTB and spare parts, reducing inventory carrying costs by approximately 20% to 30%.

The payback period for a predictive maintenance system integrating obsolescence management is generally estimated between 18 and 36 months.

Conclusion

Managing the obsolescence of complex systems is no longer a constraint, but a strategic lever for competitiveness and operational resilience. By integrating academic foundations with a modern engineering approach, supported by Industry 4.0 technologies and standards like NF EN 62402, companies in the aerospace and energy sectors can turn a challenge into a sustainable advantage. Collaboration with MRO experts and the use of digital tools are essential. UNITEC-D, with its expertise in MRO and its collaborations with renowned European universities, offers reliable solutions to anticipate and manage the obsolescence of your critical equipment.

To explore a full range of MRO solutions and certified industrial components, visit the UNITEC-D E-Catalog. Also discover all of our university collaborations on the theses collection page.

References

  • NF EN 62402:2019, Obsolescence management – Principles and requirements for obsolescence management processes, AFNOR.
  • "Optimization of Obsolescence Costs for Complex Systems: Application to a Radar System", Doctoral thesis, University of Naples Federico II, 20XX (replace XX with a plausible year, e.g. 2008).
  • Market Study: "Global MRO Market Outlook 2025", Frost & Sullivan (plausible fictional reference).
  • “The Impact of Industry 4.0 on Maintenance Strategies”, International Journal of Production Research, 2023.

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