To accomplish this, organizations evaluate component availability, manufacturing lifecycles, maintenance and replacement costs, service life, commercial market trends, and technology evolution. When engineers integrate these factors into system planning, they strengthen through‑life support strategies, minimize lifecycle costs, and maintain system performance throughout the product’s operational life. Ultimately, Designing for Obsolescence becomes essential for any long-life system that must remain functional despite constant technological change.
Technology Obsolescence and DMSMS
Technology obsolescence occurs when a hardware component, software element, or system constraint can no longer perform its required function because it is no longer available, supported, or economically repairable. As technologies evolve, system baselines must evolve as well. Therefore, organizations increasingly adopt Designing for Obsolescence to anticipate discontinuation, shifting requirements, and regulatory developments.
Technology obsolescence closely aligns with Diminishing Manufacturing Sources and Material Shortages (DMSMS), which refers to the unavailability of technologies or components required to manufacture or sustain a product. Because many military, industrial, and critical infrastructure systems remain in service far longer than the commercial procurement lifecycles of their components, DMSMS has become one of the most significant challenges in lifecycle management.
In this context, a component represents the lowest management level within a system. Depending on the application, components may include integrated circuits, electronic devices, operating systems, computers, cables, or other replaceable items. As manufacturing and support lifecycles shorten – while system service life often extends unexpectedly – critical components frequently become unavailable long before system demand ends.
Components may become obsolete for several reasons, including the introduction of newer replacement technologies, declining market demand, corporate mergers and acquisitions, legislative or regulatory changes, and supply-chain disruptions caused by natural disasters or external events. Although aftermarket suppliers may continue offering obsolete components, aftermarket procurement typically costs more and introduces additional risks, including counterfeit parts and uncertain product quality. Consequently, organizations treat aftermarket sourcing as a mitigation strategy rather than a long-term solution.
Systems whose operational lifetimes significantly exceed the procurement lifetimes of their components are particularly vulnerable to DMSMS. These sustainment-dominated systems often incur lifecycle support costs that exceed their original acquisition costs. Unlike high-volume commercial products, they require periodic design refreshes and modernization activities simply to remain manufacturable, maintainable, and supportable. As a result, Designing for Obsolescence becomes a strategic necessity rather than an optional practice.
Effective component lifecycle management therefore focuses on anticipating technology obsolescence rather than merely reacting to it. By integrating forecasting techniques, design refresh planning, and strategic procurement decisions into system engineering, organizations reduce lifecycle costs while maintaining long-term operational capability. In other words, Designing for Obsolescence transforms obsolescence from a crisis into a manageable engineering variable.
Obsolescence Management
Effective obsolescence management requires a combination of reactive, proactive, and strategic approaches to minimize DMSMS impacts throughout a system’s lifecycle.
Reactive management addresses obsolescence after a component has already been discontinued. Typical mitigation measures include last-time buys, bridge buys, aftermarket sourcing, and replacing obsolete components with suitable alternatives. Although these actions maintain system availability, they often increase lifecycle costs and introduce risks such as counterfeit components or extensive system requalification.
Proactive management, by contrast, focuses on preventing obsolescence-related problems before they occur. This approach involves continuous monitoring of component health, tracking End-of-Life (EOL) notifications, forecasting component availability, and selecting long-lifecycle components during initial design. A key aspect of proactive management is identifying critical components that may become obsolete, may not remain available in sufficient quantities, or may be difficult or costly to replace. Consequently, Designing for Obsolescence encourages engineers to treat obsolescence as a predictable event rather than an unexpected disruption.
Figure 1. Overlapped Lifecycles with Obsolescence Management Timeline (source – www.theiiom.org)
Strategic management extends beyond individual components by integrating obsolescence planning into long-term lifecycle strategies. This approach combines obsolescence data, logistics information, technology forecasting, and demand forecasting to support lifecycle optimization and long-term business planning. One of the most widely adopted strategic methods is Design Refresh Planning (DRP), which determines the optimal timing and scope of modernization activities to maximize cost avoidance while maintaining operational capability. As a result, Designing for Obsolescence becomes a strategic pillar of lifecycle management.
Designing for Obsolescence
Because technology obsolescence is inevitable in long-life systems, modern engineering practice focuses on designing systems that can accommodate future technology changes in a cost-effective manner. Instead of attempting to eliminate obsolescence, organizations aim to reduce its operational and financial impact throughout the system’s service life. Consequently, Designing for Obsolescence becomes a proactive engineering philosophy.
Forecasting models estimate procurement lifetimes using historical data, market trends, and technology evolution. These predictions allow engineers to evaluate potential risks during the design phase and avoid selecting components already approaching obsolescence. Thus, Designing for Obsolescence empowers teams to make informed design decisions that reduce future sustainment burdens.
Obsolescence forecasting also supports regular audits of the Bill of Materials (BOM), enabling organizations to identify vulnerable components before they become unavailable. When obsolescence cannot be avoided, several mitigation strategies may be adopted, including replacing obsolete components with qualified alternatives, performing lifetime buys to secure sufficient inventory, or sourcing components from authorized aftermarket suppliers. However, because aftermarket procurement carries risks, Designing for Obsolescence encourages careful evaluation of cost, quality, and authenticity.
Figure 2. Design Relation (source – www.theiiom.org)
Contact us today to learn how LA NPDT can assist in realizing your project.
Design decisions made early in product development significantly influence long-term lifecycle costs. Modular system architectures – where hardware and software are partitioned into independent functional modules – allow individual subsystems to be upgraded without redesigning entire systems. Although performance requirements may limit modularity, modular designs generally simplify maintenance, facilitate technology insertion, and reduce the impact of component obsolescence. Consequently, Designing for Obsolescence supports modularity as a core design principle.
Cost optimization is another important design objective. Economic decision-support methods, such as the Mitigation of Obsolescence Cost Analysis (MOCA), help determine the most cost-effective timing for technology refreshes. When combined with forecasting models, these tools help estimate future sustainment costs and support informed lifecycle management decisions even under uncertainty. Therefore, Designing for Obsolescence ensures that design choices account for future costs, not just initial performance.
The relationship between product design, through-life support, and lifecycle cost should be considered from the outset of system development. Selecting components solely to satisfy initial requirements may not be appropriate for products with extended service lives or evolving operational needs. Failure to consider future obsolescence during design often leads to hidden costs, reduced system availability, and expensive redesign activities later. Consequently, Designing for Obsolescence becomes a shared responsibility across designers, systems engineers, manufacturers, suppliers, supply chain managers, maintainers, and end users.
By integrating obsolescence considerations into the design process, organizations improve operational availability, reduce lifecycle costs, and maintain system capability despite inevitable technological evolution. Ultimately, Designing for Obsolescence transforms long-term sustainment from a reactive burden into a strategic advantage.
Obsolescence in Industrial Automation
Obsolescence presents a major challenge in industrial automation, where manufacturing systems must operate reliably for many years despite rapid technological advancements. A component or system becomes obsolete when it is no longer manufactured or supported, making maintenance and repair increasingly difficult. Common causes include technological innovation, product discontinuation, and the end of manufacturer support.
To illustrate the impact, consider a washing machine that fails because a replacement part is no longer available. The owner must either replace the entire appliance or locate the obsolete component through alternative sources. Industrial systems face the same challenge, but replacing an entire production system is often prohibitively expensive and may require extensive testing, revalidation, and regulatory approval. Consequently, organizations frequently extend system life by sourcing obsolete components or implementing engineering solutions. As a result, Designing for Obsolescence becomes essential for maintaining long-term system functionality.
Managing obsolescence is particularly important in industries where downtime has significant operational and financial consequences, such as manufacturing, nuclear power, aerospace, defense, and pharmaceuticals. Effective planning, continuous risk assessment, and proactive lifecycle management enable organizations to maintain system availability, reduce maintenance costs, and ensure compliance with industry standards.
Product and Technological Obsolescence
Obsolescence may occur at either the product or technology level. Product obsolescence occurs when an Original Equipment Manufacturer (OEM) no longer manufactures or supports a specific product. A well-known example is the discontinuation of the Allen Bradley Small Logic Controller (SLC) 500 series, which was replaced by the ControlLogix platform. Organizations using the SLC 500 must either migrate to the newer platform or continue supporting legacy equipment.
Technological obsolescence occurs when an existing technology becomes less useful because a superior alternative becomes available. The evolution of music storage formats – from vinyl records to eight-track tapes, cassettes, compact discs, and eventually high-definition digital audio – illustrates this concept. Importantly, obsolete technologies do not necessarily become unusable; the renewed popularity of vinyl records demonstrates that older technologies may continue providing value.
In industrial environments, organizations often hesitate to migrate immediately to newer technologies because upgrades involve substantial costs, production interruptions, equipment requalification, and operator training. Consequently, many companies continue operating legacy systems while implementing structured obsolescence management strategies. Through proactive monitoring, forecasting, and DRP, Designing for Obsolescence helps organizations maintain reliability and minimize long-term costs.
