From Bragg Peaks to Breakpoints: Dose–LET-inspired Portfolio Optimization to Reduce Execution Adverse Events

Translate Chen et al.’s (2024) dose–LET volume histogram (DLVH), dose–LET constraints (DLVC), and dosimetric seed spot analysis into a management analog. Map “dose” to resource intensity (budget, leadership attention) and “LET” to contextual volatility (regulatory churn, stakeholder sensitivity, technological uncertainty). Develop Strategy-Intensity–Volatility Histograms (SIVHs) and Strategy-Intensity–Volatility Constraints (SIVCs) to guide robust portfolio optimization that minimizes high-volatility exposure to critical “organs at risk” (e.g., compliance, brand) while delivering strategic impact. This approach is novel because execution research rarely models the joint distribution of effort and contextual stress, unlike popular frameworks that assume uniform effectiveness of strategic actions. It operationalizes robust optimization across intensity and volatility dimensions, adding a hazard-aware layer atop portfolio governance and capability-based management. Using process mining to locate micro-decisions that seed later failures, it converts outcome-linked, model-light constraints into actionable guardrails without relying on contentious causal models. Potential impacts include fewer unexpected adverse events in execution, more resilient delivery under uncertainty, and a replicable way to derive context-specific constraints from retrospective portfolios.

References:

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