Operations Planning Simulator

PlanMaster
Tara Trend Drop

A viral fashion item is taking off. You are the Operations Manager. Forecast demand, balance capacity, protect service level, and avoid costly excess inventory across four high-pressure weeks.

What students learn

Demand forecasting, short-term capacity actions, aggregate planning, inventory trade-offs, and service level decisions.

How it works

Each week, choose a forecast, a capacity action, a production quantity, and an inventory buffer strategy.

Success criteria

Strong profit, high service level, low stockouts, and disciplined inventory at the end of the trend cycle.

Classroom use

Students can play individually or in teams, compare decisions, and discuss why different planning choices worked.

TrendFlex Jacket

Minimalist outerwear, limited launch window, heavy social media exposure, and highly volatile demand.

Fast fashion Trend-driven demand Short planning horizon
4 weeks 1 product High uncertainty

Week 1 — Launch

Moderate interest and first planning decisions.

Week 2 — Viral spike

Influencer demand surge increases stockout risk.

Week 3 — Supply issue

Fabric delay reduces effective production capacity.

Week 4 — Cooldown

Demand softens and excess inventory becomes costly.

Operations Control Dashboard

Review KPIs, make planning decisions, and run the next week.

Manager status: Balanced start
80
Units available before new production
120
Base weekly internal capacity
Actual demand from previous week
Fill rate achieved last round
0
Cumulative profit so far
0
Performance across all rounds

Weekly Decisions

Enter your forecast, choose your short-term capacity strategy, and set your weekly output plan.

Estimate expected demand for this week.
Choose cost, flexibility, and available capacity.
0 110 units 170
The final version will cap production automatically based on capacity.
Protect service with more stock, or stay lean and reduce holding cost.

Planning Notes

Use this section for interpretation prompts during class discussion.

Forecasting challenge

Under-forecasting creates stockouts and missed sales. Over-forecasting increases holding cost and markdown risk.

Capacity trade-off

Overtime, temporary staff, and outsourcing increase flexibility, but all raise operating cost in different ways.

Inventory discipline

Trend products lose value quickly. Carrying too much leftover stock can hurt final profitability.

Teaching use

After each round, students can compare why some teams achieved stronger service levels or better margins.

Final Performance

Strategic Operations Leader

You balanced service level, cost, and inventory discipline effectively across the full trend cycle.

92

Total Profit

€18,420 across all four weeks.

Average Service Level

96.4% customer demand fulfilled.

Total Stockouts

14 lost sales across the simulation.

Ending Inventory

22 units remaining after demand cooled.

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