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  <title>CPD-01: Queueing Networks, Little’s Law (L = λW), Kingman 95% Overload &amp; AI Variance Wedges (Singapore CPD Upskilling) | 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>
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  <url>https://andygrove.systems/singapore/cpd-01</url>
  <description>Open-access Continuing Professional Development (7 PDH / CPE / CPD Hrs) for professionals in Singapore (National University of Singapore (NUS Dept. of Industrial Systems Engineering &amp; Management / IORA), Nanyang Technological University (NTU MAE/SPMS), SUTD (ESD), SMU), built on fresh 2023–2026 preprints (https://andygrove.systems/preprints): Quantify why speeding up Routine tasks without filtering bimodal AI service-time variance creates a Kingman queue explosion at human review stations, and compute congestion-dependent escalation thresholds. | 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>
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