pom-methods
Use when selecting or auditing the method for a Production and Operations Management (POM) manuscript — analytical modeling (optimization, stochastic models, game theory), empirical identification, behavioral experiments, simulation, or operations data science. Matches method to the operations question; it does not execute the analysis (pom-data-analysis).
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pom-methods --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Method Fit (pom-methods) ## When to trigger - The method may not match the operations question (level, uncertainty, causality) - You must choose between an analytical model, an empirical design, an experiment, or a data pipeline - A reviewer says "the method does not support the claim" or "this is a methods paper, not OM" ## POM mandates no single method — but the method must fit and be rigorous POM explicitly places **no restriction on research methods**, while being historically anchored in analytical modeling. Pick the method the *question* demands, and route to the matching Department. | Operations question / claim | Method | |--------------------------------------------------------------|--------------------------------------------------------------------| | Optimal policy under cost/service objective | Optimization (LP/MIP/convex, dynamic programming); characterize the policy | | Decisions under demand/lead-time uncertainty | Stochastic modeling, queueing, inventory theory, MDP/ADP | | Strategic interaction (suppliers, competitors, platforms) | Game theory (Nash/Stackelberg); prove equilibrium existence/uniqueness | | Causal operational effect from field data | Empirical OM
- When to trigger
- POM mandates no single method — but the method must fit and be rigorous
- What each track must defend
- The POM bar on method
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Methods pass for Production and Operations Management
- Output format
What does the pom-methods skill do?
Use when selecting or auditing the method for a Production and Operations Management (POM) manuscript — analytical modeling (optimization, stochastic models, game theory), empirical identification, behavioral experiments, simulation, or operations data science. Matches method to the operations question; it does not execute the analysis (pom-data-analysis).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pom-methods --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.