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Production Planning (MPS/MRP) 生產排程(MPS/MRP)

Released已發布
industry manufacturing

Design production plans using MPS (Master Production Schedule), MRP (Material Requirements Planning), and capacity planning. Use this skill when the user needs to schedule production, plan material procurement, balance capacity with demand, or optimize production sequencing — even if they say 'we can't keep up with orders', 'when should we order materials', 'production scheduling', or 'how do we plan for next quarter's demand'.

製造技能:Production Planning (MPS/MRP) 分析與應用。

View on GitHub在 GitHub 查看

Framework 框架

IRON LAW: Plan Hierarchically — Demand → MPS → MRP → Shop Floor

Production planning flows TOP-DOWN:
1. Demand forecast / customer orders → what to make, when
2. MPS → master schedule for finished goods
3. MRP → material and component requirements (what to buy, when)
4. Shop floor scheduling → which machine, which sequence

Skipping levels (going from demand forecast directly to shop floor)
creates chaos — material shortages, capacity conflicts, missed deliveries.

Planning Hierarchy

Level Plan Horizon Granularity Decides
Strategic S&OP (Sales & Operations Planning) 12-18 months Monthly, product family Capacity investments, workforce planning
Tactical MPS (Master Production Schedule) 3-6 months Weekly, end product What to produce each week
Operational MRP (Material Requirements Planning) 4-12 weeks Daily, component/material What to order, when, how much
Execution Shop Floor Scheduling 1-2 weeks Hourly, work center Sequence, machine assignment

MPS Process

  1. Inputs: Demand forecast + customer orders + current inventory + safety stock targets
  2. Logic: For each week, calculate: Production Needed = Demand - Beginning Inventory - Scheduled Receipts + Safety Stock
  3. Output: Planned production quantities by week for each finished product
  4. Constraint: Must not exceed available capacity (rough-cut capacity planning check)

MRP Process

  1. Inputs: MPS (what to make) + BOM (Bill of Materials — what it's made of) + Inventory status + Lead times
  2. Logic: "Explode" the BOM — for each finished good, calculate when each component/material must be ordered to arrive in time
  3. Output: Planned purchase orders and production orders with dates and quantities
  4. Key calculation: Order date = Need date - Lead time

Scheduling Algorithms

Algorithm Rule Best When
FCFS (First Come First Served) Process in order received Low complexity, fairness matters
SPT (Shortest Processing Time) Shortest job first Minimize average flow time
EDD (Earliest Due Date) Most urgent due date first Minimize late deliveries
Bottleneck-first Schedule the constraint first, subordinate rest Capacity-constrained environments (TOC logic)

SMED (Single-Minute Exchange of Die)

Reduce changeover time to increase flexibility:

  1. Separate internal setup (machine stopped) from external (can do while running)
  2. Convert internal to external where possible
  3. Streamline remaining internal steps
  4. Practice and standardize

Output Format輸出格式

# Production Plan: {Product/Period}

Gotchas注意事項

  • Forecast accuracy limits everything: MPS/MRP is only as good as the demand forecast. Track forecast accuracy (MAPE) and build safety stock proportional to forecast error.
  • Lead time variability kills plans: If supplier lead time is "2-6 weeks" (4 week variability), you need safety stock for the worst case. Reduce variability through supplier management.
  • BOM accuracy is critical for MRP: A wrong BOM means ordering wrong materials. Audit BOMs quarterly.
  • Frozen zone: The first 1-2 weeks of MPS should be "frozen" (no changes) to allow stable execution. Changes inside the frozen zone cascade chaos through the system.
  • Finite vs infinite capacity: Basic MRP assumes infinite capacity (ignores machine constraints). Always layer a capacity check (rough-cut or detailed) on top of MRP output.

References參考資料

  • For S&OP process design, see references/sop-process.md
  • For demand forecasting methods, see references/demand-forecasting.md

Tags標籤

manufacturingproduction-planningmrpscheduling