<?xml version="1.0" encoding="UTF-8"?>
<oembed>
  <version>1.0</version>
  <type>link</type>
  <title>EQ-04: General Line Throughput &amp; Kingman’s Queue Explosion (Kingman, 1961; Bartolucci &amp; Vivo, 2026) (South Korea COO Practice) | ANDYGROVE.SYSTEMS</title>
  <author_name>ANDYGROVE.SYSTEMS Continuing Professional Development &amp; Operations Research Collective</author_name>
  <author_url>https://andygrove.systems/education</author_url>
  <provider_name>ANDYGROVE.SYSTEMS — High Output Operations &amp; Fresh Preprints Upskilling Hub</provider_name>
  <provider_url>https://andygrove.systems</provider_url>
  <cache_age>86400</cache_age>
  <thumbnail_url>https://andygrove.systems/og-card.png</thumbnail_url>
  <thumbnail_width>1200</thumbnail_width>
  <thumbnail_height>630</thumbnail_height>
  <url>https://andygrove.systems/south-korea/eq-04</url>
  <description>EQ-04 (General Line Throughput &amp; Kingman’s Queue Explosion (Kingman, 1961; Bartolucci &amp; Vivo, 2026)) applied by IE/OR specialists in South Korea: Θ_sys = min( λ, min_i (N_i · r_i / v_i) ),   W_q ≈ [ (c_a^2 + c_s^2) / 2 ] · [ u / (1 − u) ] · t. Throughput equals min(λ, capacity), reducing to min r_i only at saturation. At u = 95% human reviewer load, u/(1−u) = 19 (4.75× the queue wait at u = 80%), and AI rework variance (c_s² ≫ 1) explodes delay. | Fresh Preprints: https://andygrove.systems/preprints | 42-Hr CPD Hub: https://andygrove.systems/education (Independent platform; not affiliated with Intel Corporation or the Grove family)</description>
</oembed>