Thinking Through Throughput Time: Functional Structure and Flow

 This post introduces a conceptual model for analyzing throughput time by examining the structure and connectivity of functions. By distinguishing between top-level and sub-functions, and mapping how they unify or differentiate across approval, handover, and other relational flows, the framework supports a deeper understanding of time consumption within systems. It is especially useful for identifying bottlenecks, coordination delays, and opportunities for streamlining.

Modeling Based on 後正武 『意思決定の​ための​分析の​技術』

Entity Name	Description
Function	A defined operational role or capability within a system, contributing to overall throughput.
Top-level Function	The highest-order function that governs or initiates subordinate activities.
Sub-function	A nested or supporting function that executes specific tasks under the top-level function.
Function Connection	The relational flow between functions, including approval, handover, and other interactions.
Approval	A decision checkpoint that may introduce latency depending on hierarchy and authority.
Handover	The transfer of responsibility or information between functions, often a key time factor.
Other	Additional relational flows that may affect throughput, such as feedback loops or exception handling.

By modeling functions and their connections, this framework enables a structured approach to throughput time analysis. It reveals how organizational design and flow logic impact speed, coordination, and responsiveness.