SKILL

safety-stock-review

Size or audit safety stock with assumption checks - the z*sigma*sqrt(LT) formula plus an empirical stress test of what it actually delivers (cycle service vs fill rate) per variability class. Use when the user mentions safety stock, emniyet stoku, emniyet stoğu, reorder point, service level, stok seviyesi belirleme. Differentiator - refuses to hand back a number without validating the demand-distribution assumptions behind it.

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原文涵盖的主题

  • Safety Stock Review
  • Required data
  • Workflow
  • Pitfalls to check explicitly
  • Output format

The textbook formula assumes roughly normal demand. Real portfolios contain SKUs where that assumption fails badly - the skill's job is to compute the number AND say where it can be trusted. Per-SKU demand history (sku, period, qty, 12+ periods), lead time (with variability if available), and the service target. Clarify early which service the target means: cycle service (probability of no stockout per cycle) or fill rate (share of units served) - contracts usually mean fill rate, formulas usually compute cycle service. 1. Classify first. Compute CV and zero-period share per SKU. For CV >= 1.0 or intermittent demand, state up front that the normal-formula result will be optimistic. 2. Compute the formula result: SS = z sigmad sqrt(LT), ROP = mud LT + SS (demand-period units consistent with LT). If lead time varies, use the extended form with the sigmaLT term - ignoring lead-time variance is the most common silent understatement. 3. Stress-test empirically. Set stock at mu + SS and replay the actual history: report both achieved cycle service (share of periods fully covered) and achieved fill rate (units served / units demanded). Zero-demand periods pass cycle service for free - fil

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davila7/claude-code-templates
源文件
cli-tool/components/skills/operations/safety-stock-review/SKILL.md
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21be197f100a12b8d0dd9a211cc244c8179f84d3
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原作者:davila7/claude-code-templates · 原作者仓库元数据。文档核查:未核查。最近来源检查:2026-11-09T15:01:39.561Z。

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