Figure 1. The Core Crisis: Performance Intoxication and Life-Cycle Blindness [ SILOED UPSTREAM ][ BURDENED DOWNSTREAM ] RDT&E & Procurement BudgetsOperations & Support (O&M) Tail ┌───────────────────────────────────────┐┌──────────────────────────────── ───┐ │SYSTEMS ENGINEERING││LOGISTICS│ │• Focus: Power, Thermal, Speed│──»│• Absorbs Downstream Gaps│ │• Mindset: "Make it work first"││• Burdened by High Parts/Labor│ └───────────────────────────────────────┘└──────────────────────────────── ───┘ ││ ▼▼ VALLEY OF DEATH 1: S&T to PM VALLEY OF DEATH 2: PM to Sustainment
Because traditional roles manage only select appropriations, PMs have focused on short-term milestones, leaving operations and maintenance as external concerns. This fragmen - tation, especially under incomplete data, undermines vertical and hori - zontal alignment. Executive spon - sorship is required to synchronize all life-cycle stages. The Financial Reality Failing to integrate recurring life- cycle cost models into early design cycles leaves leadership completely blind to the long-term affordabil - ity of both COTS items and custom modifications. The consequences of ignoring early life-cycle metrics are gov - erned by unyielding mathematics: Intended equation. When organizations rush unsup - portable platforms into production, fixed sustainment tails squander fu - ture modernization opportunities. Fewer systems are purchased be - cause the existing fleet breaks down, draining capital. Without cost models, leaders lack the data to reduce costs or accept known risks. The Solution Transitioning to a Portfolio Acqui - sition Executive (PAE) model estab - lishes end-to-end accountability for entire capability ecosystems, rather than isolated programs. The PAE de - livers unified operational outcomes, dynamically managing all financial streams. Investing in fleet reliability can yield savings in operations and maintenance (O&M), thereby fueling next-generation design.
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establishing cross-functional groups focused on RAM and life cycle cost - ing, mandating early cost models before key milestones, and periodi - cally updating these models with real data. These steps empower informed trade-offs and ensure that affordabil - ity is central to decision-making. The following are examples of how errors arise because of data shortages. • Affordability. Long-term life-cy - cle costs are routinely overlooked during system maturation and modification phases. • Performance bias. Teams default to tracking immediate technical performance while neglecting critical RAM data. • Missing cost models. Without ac - curate data, we cannot forecast the downstream financial impact of design and procurement choices. Key takeaway. Data-driven lead - ership is essential to managing costs and making informed reliability trade-offs. The Functional Silo Loop Accelerating capability delivery requires closing a key gap: execu - tive-level understanding of the ac - quisition life cycle. When schedules compress and operational demands rise, organizations revert to silos over coordinated action (Figure 1). Lead - ers must ensure collaboration to drive accountability and performance across the value chain in view of the following issues: • Technical bias. Subsystem do - main engineers isolate their fo - cus on immediate performance
parameters (e.g., speed, power, weight, thermal properties). They assume supportability can wait until the system is fully functional. • Downstream dump. Because the upfront design window closes prematurely, RAM requirements are understudied and poorly esti - mated from the initial architecture. • Logistics burden. Logistics and product support teams are left to handle the consequences during operations, forced to use excess parts and manual labor to keep an unreliable design operational (Figure 2). Dual “Valleys of Death” The dual “valleys of death” fracture organizational accountability across two particular operational handoffs: • S&T to acquisition. High-perform - ing tech concepts transfer to pro - gram managers (PMs) without any structural framework for long-term manufacturing or supportability. • Production to sustainment. Sys - tems clear Initial Operational Test and Evaluation only for life-cycle managers to discover the platform is physically unsupportable and financially unsustainable.
Figure 2. Incomplete RAM Data Effects Lifecyle Costs Downstream ┌────────────────────────────────────────────────────────────────────────┐ │THE LIFECYCLE COST FACTOR│ ││ │[██████████─────────── 70% to 90% of Out - Year Lifecycle Costs ───────────]│ │▲│ │└── Driven directly by early RAM data (Reliability & Maintainability, Coonce & Tate, 2018, pp. 1 - 15) │ └────────────────────────────────────────────────────────────────────────┘ Source. Author
12 DEFENSE ACQUISITION MAGAZINE | SEPTEMBER –OCTOBER 2026
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