Individual skill
pom-workflow
Use when deciding which pom-* sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a Production and Operations Management (POM) manuscript. Routes — it does not replace — the specialized skills, and it identifies your method track (analytical / empirical / behavioral / data-science).
Production-and-Operations-Management-Skills/skills/pom-workflow/SKILL.md
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# Production and Operations Management Workflow (pom-workflow)
## Overview
This is the router. It does not replace any specialized skill; it tells you **which pom-* skill to use right now** for your POM manuscript.
Default assumption: unless told otherwise, the target is **Production and Operations Management (POM)** — the flagship journal of the Production and Operations Management Society (POMS), published by SAGE since January 2024 (previously Wiley-Blackwell), ISSN 1059-1478, twelve issues per year, founded and edited by Kalyan Singhal (University of Baltimore). POM accepts the **full breadth of operations management** — analytical/mathematical modeling, empirical OM, behavioral/experimental OM, and operations data science — and routes every paper to one of many named **Departments** (Behavioral Operations, Supply Chain Management, Healthcare Operations, Sustainable Operations, Operations Management Data Analytics, plus interface departments). The non-negotiable bar: the work must be of **significant interest to practicing operations managers** *and* make a **substantial contribution to knowledge and practice**, executed rigorously by whatever method fits.
> Editors (verified 2026-06-22 via POMS / SAGE): **Kalyan Singhal** is founder & Editor-in-Chief and **Subodha Kumar** is Co-Editor-in-Chief; the department roster and Department Editors rotate. Verify the live masthead and departments at poms.org/journal. POM is hybrid open access on SAGE; the optional Sage Choice/open-access APC and any data-deposit mandate are **待核实** — see `resources/official-source-map.md`.
## When to trigger
- "What should I do next?" with a half-built POM manuscript
- You have a model or dataset but no clear managerial insight