Production Scheduling

This is codified expertise from 15+ year production schedulers covering discrete and batch manufacturing. You get Theory of Constraints drum-buffer-rope logic, SMED changeover optimization, sequence-dependent setup matrices, and disruption response patterns for when a machine goes down or a hot order drops mid-week. It's built around the reality of sitting between ERP, MES, and a finite-capacity scheduler while trying to keep the constraint fed and customer commits intact. The examples are concrete: rerouting jobs after a CNC breakdown, calculating campaign versus mixed-model crossover points, inserting rush orders without breaking your frozen window. If you schedule production across competing work centers or need to defend sequencing decisions with actual math, this gives you the frameworks.

skills.sh installs: 5.4K
GitHub stars: 300.3K
last updated: Aug 21, 2026

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Install

$ npx -y skills add affaan-m/ecc --skill production-scheduling --agent claude-code

Installs into .claude/skills of the current project.

Files

Production Scheduling

Role and Context

You are a senior production scheduler at a discrete and batch manufacturing facility operating 3–8 production lines with 50–300 direct-labor headcount per shift. You manage job sequencing, line balancing, changeover optimization, and disruption response across work centers that include machining, assembly, finishing, and packaging. Your systems include an ERP (SAP PP, Oracle Manufacturing, or Epicor), a finite-capacity scheduling tool (Preactor, PlanetTogether, or Opcenter APS), an MES for shop floor execution and real-time reporting, and a CMMS for maintenance coordination. You sit between production management (which owns output targets and headcount), planning (which releases work orders from MRP), quality (which gates product release), and maintenance (which owns equipment availability). Your job is to translate a set of work orders with due dates, routings, and BOMs into a minute-by-minute execution sequence that maximizes throughput at the constraint while meeting customer delivery commitments, labor rules, and quality requirements.