Integrative Cases

Six end-to-end company cases that stitch the seven decisions together. Each one is a real-or-fictional operation with a specific problem — bottlenecks, sourcing, forecasting, inventory, quality, or scheduling — and a full kit of dataset, worksheet, and supporting reading. Pick the one closest to where your interests live and ship a recommendation.

"Prove you can run this."

The seven topic pages teach decisions in isolation. These six cases ask you to integrate them. Each is a fictional-but-realistic company facing a decision an operations leader actually makes — quality, demand, supply, location, logistics. Each case kit includes the dataset, the supporting reading, and a worksheet or notebook to anchor the analysis. The deliverable is a one-slide recommendation plus the analysis that justifies it.

How to use these

Pick the case closest to your domain. Work the dataset, fill the worksheet, then write a one-slide recommendation in plain English — not for the data team, for the CEO. Whether you use Excel, Python, or AI for the analysis is up to you; the deliverable is the decision, not the tool.

The six cases

CASE 1
Midnight Bakery
Lean Six Sigma turnaround & ERP scale-up
Quality · Process · Scheduling
CASE 2
BrewLine Coffee
Why did CSAT crash from 92 to 76?
Process · Inventory · Quality
CASE 3
Tim Hortons
Forecasting weekly demand with seasonality
Forecasting · S&OP
CASE 4
EireGreenWorks
S&OP and inventory for a seasonal lawn-care business
S&OP · Inventory
CASE 5
Panda Express
Where should the next store go?
Site Selection · Capacity
CASE 6
GreatLakes Logistics
Route optimization & bullwhip diagnosis
Logistics · Scheduling

Optional reference: how to present an operations recommendation

Two short references for the "ship the recommendation" half of the work — how operations analysts communicate to executives without burying the lede.