0. Intro
In Part 9, we talked about the core 8 principles of Toyota-style kitchen production and how to run a pub using a cell-based workflow. Now, we’ll introduce the Toyota Pub Evaluation Index — a set of practical indicators to measure how efficient your system really is.
1. Economic Efficiency Indicators 💰
Most owners focus on the obvious metrics:
- Sales
- Labor cost
- Marketing cost
- Food cost
- Net profit
These matter. They’re the foundation. But survival is often decided by a second layer of indicators—
the ones most people ignore.
(1) Turnover Rate = Operating Hours / Average Guest Stay Time
IIf profits are high while turnover is low, you’re attracting high-paying, high-margin guests. From my experience running a pub: Once guests stay longer than two hours, the table has already given you most of its value. Outside of early-stage dating couples (which is a rare exception), no conversation truly lasts beyond two hours. The first hour creates stories. After that, it’s repetition. New stories need a new place. So for non-dating guests, this works surprisingly well: “Sorry—we have a line outside. Would it be okay if we start clearing the table?” Most people accept it without resistance. Now the warning signs:
- High turnover + low profit → your margins are broken
- Volume won’t save you if each order earns nothing
Before chasing more customers, ask:
✔ Can prices be raised without backlash?
✔ Can you enforce 1 person = 1 dish (no sharing culture)?
✔ Can alcohol-to-food ratio be increased?
If margins aren’t fixed, no amount of speed will save the business.
(2) Depreciation Cost = Equipment Cost / 5 years
This shows how heavy your fixed costs really are. Many owners ignore depreciation and rush into automation. But here’s the trap:
- Bigger machines = higher depreciation
- Multi-function machines = idle time = wasted capital
Small pubs survive by using small tools in parallel, not one expensive all-in-one machine. If you spend $1 on ingredients, but your robot lease costs $2 per dish, you’re losing money before cooking even begins. Workflow matters more than specs. Design systems where:
- No second is wasted
- No gram is wasted
- No dollar is frozen
That discipline matters far more than owning a “cool” machine. Hyper-automated concepts like Kitchen Spyce often struggle here—not because the tech is bad, but because depreciation quietly eats everything. Problems with going all-in on kitchen automation. [See: Kitchen Spyce, the First Restaurant to Implement Continuous Flow Production]
(3) Recouping Initial Capital
Many owners assume: “When I sell the restaurant, I’ll recover my investment as goodwill.” That’s dangerously optimistic. Restaurants have no supply-side limit. Goodwill is volatile. On exit, it can realistically be zero. This is not a licensed, quota-limited business. So you must operate with one mindset: Recover your initial capital within three years. Even if that means:
- Working yourself
- Lowering personal living standards
- Delaying comfort and lifestyle upgrades
First, refill your mental account with recovered capital. Everything else comes later.
📌 One-Line Summary
A restaurant dies not because it lacks passion — but because the owner forgot to recoup capital, ignored depreciation, and confused “a busy room” with “a profitable room.”
2. Internal Efficiency Indicators ⚙️
How smoothly your kitchen actually runs.
(1) Parallel Production Index (PPI) ⚙️
This measures how efficiently one cook can handle multiple dishes at once.It’s the core of labor savings in a Toyota Pub. But:
- Stew and pasta may take the same time…
- …but require very different levels of hand motion and attention. So I created this metric to measure true parallel potential.
What is PPI?
Parallel Production Index (PPI) = (Number of Dishes Cooked) ÷ (Number of Required Hand Movements) → The fewer movements per dish, the more parallel-friendly it is. → Less fatigue. Less error. More consistency.
How to Measure
Time Frame: 15–20 minutes
Count:
- How many dishes were finished?
- How many essential hand movements were needed?
(Flipping, stirring, fan work, sauce pouring, plate handling, etc.)
Yes, even stirring counts, because focus and fatigue add up over time.
Examples
Example 1 – Calculation:
| Menu | Dishes | Hand Movements | PPI |
| Menu A | 3 | 9 | 0.33 -> High PPI |
| Menu B | 2 | 20 | 0.1 -> Low PPI |
Example 2 – Pasta vs Stew (10 min, 3 portions)
| Time | Pasta | Stew |
| 1 min | Oil in 3 pans + 3 Stoves (6 motions) | Turn on 3 Stoves (3 motions) |
| 2 min | Add garlic (3 motions) | – |
| 3 min | Fetched prepped noodles (3) | – |
| 4 min | Add sauce (3) | – |
| 5 min | Add noodles (3) | Stir (3) |
| 6 min | Emulsify, stir (3) | – |
| 7 min | Stir (3) | – |
| 8 min | Stir (3) | Taste (3) |
| 9 min | Stir (3) | Plate (3) |
| 10 min | Plate (3) | Add sour cream (3) |
Total:
- Pasta: 3 dishes / 33 motions = PPI 0.09
- Stew: 3 dishes / 15 motions = PPI 0.2 → Stew is over 2x more efficient for parallel cooking.
Example 3 – Braten Gravy (Traditional vs Toyota Style)
[Traditional method for gravy, German chef]
- Traditional: Roast meat with vegetables, pour beer, strain repeatedly. Too much hand-motion.
- Toyota Pub Style: Skip veggies. Just beer-roast the pork. And use beef stock (stored from stew prep) + MSG + roux + salt/pepper = Gravy done. → Same dish, different PPI. Toyota-style reduces motions, stress, and cleanup.
📌 One-Line Summary
Don’t worry about complicated numbers. The only point that matters is this: To reduce labor cost, use fewer human hands. Choose menus that machines can execute. (Passive cooking) And rewrite the process so that humans are no longer the engine of production. Your staff should become the conductor — not the machine.
(2) Average Lead Time ⏱️
How long does it take to finish one dish after order? → The shorter, the better. → Ideally, all dishes finish at the same rhythm. If lead times vary wildly, it causes:
- WIP (work-in-progress) backups
- Overcooked dishes waiting
- Broken rhythm
- Overstaffing to compensate
Fix:
- Remove long-lead dishes
- Use a reservation system for those
- Sync dish lead times (as closely as possible).
(3) Ingredient Sharing Ratio 🔁
Why it matters ?
The more ingredients your dishes share, the more efficient your kitchen becomes. → Less inventory waste, fewer spoiled items, faster menu expansion.
Example:
At My Pub, both Goulash and Svíčková use: beef stock (fond brun), potatoes, carrots, onions, celery. Different flavors, but 70% shared ingredients. This means:
- I can buy in bulk
- Prep one base for two dishes
- Inventory is easier to track
- Less staff confusion
(4) Ingredient Shelf Life 🧊
Why it matters ?
Longer shelf life = less waste + more prep flexibility → Default to frozen meat where possible → Use refrigerated items only where absolutely necessary → Build menus around items that don’t spoil in 2–3 days
| Item | Shelf Score |
| Linzer Torte (Sealed) : 5 days | 4 |
| Goulash stew : 5 days | 4 |
| Potato salad : sour after 3 days | 2 |
| Ragu Sauce (Refrigerated): 7 days | 5 |
| Sauerkraut : lasts over 30 days | 5 |
| Clams : smell in 3 days | 2 |
(5) Cross-Utilization Score 📦
Why it matters ?
Some prep items are worth gold — they last long, and can be used in multiple dishes. Others? They spoil fast and can’t be reused.
| Item | Use cases | Score |
| Ragu Sauce | Pasta, Chili dog, Schnitzel topping, Nacho topping | 5 |
| Clams | Can’t use elsewhere | 0 |
| Potato Salad / Sauerkraut | Great side for almost anything | 5 |
→ Low Cross-Utilization Score = more prep labor + more spoilage + less flexibility.
(6) Precision Cooking Index 🎯
This metric evaluates how sensitive a recipe is to mistakes.
5 Factors
| Factor | Description |
| 1. Temperature Sensitivity | Needs exact temperature control to avoid failure? |
| 2. Timing Sensitivity | +/- 30 sec delay ruins it ? |
| 3. Texture Sensitivity | Success depends on visual/emulsion feedback ? |
| 4. Structure Maintenance | Shape, crust, internal layers must hold ? |
| 5. Number of cooking stages | How many steps need manual control ? |
French Cuisine: Cheese Soufflé
Precision Score: MAXED OUT
| Factor | Issue |
| Temperature | Must puff at 140-160 °C. 2 °C off = collapse |
| Timing | Must go in oven 30 seconds after mixing |
| Texture | Outside crispy, inside moist = tricky |
| Structure | 3 cm height needed. May Collapse on removal |
| Steps | roux -> Bechamel -> Mix yolk -> Whip meringue -> bake -> cool |
Italian Cuisine: Carbonara
Precision Score: High
| Factor | Issue |
| Temperature | Egg + cheese must emulsify without scrambling |
| Timing | Must combine pasta & sauce within 1minute |
| Texture | Must Balance creamy Sauce + al dante + crispy pancetta |
| Structure | Emulsion brakes in 10 minutes. Serve fast. |
| Steps | Boil pasta -> saute pancetta -> mix sauce -> control pan heat -> Emulsify |
Korean BBQ (Samgyeopsal)
Precision Score: Low
| Factor | Why Low ? |
| Temperature | Griddle does the work. No finesse needed. |
| Timing | Flip anytime, eat slowly |
| Texture | Just don’t burn it, Then OK |
| Structure | Doesn’t matter – just grilled meat |
| Steps | 1 stage: Grill it |
German: Schweinshaxe (Pork Knuckle)
Precision Score: Medium-High
| Factor | Issue |
| Temperature | Crackling needs high heat. Meat needs low & slow |
| Timing | Skin must pop, meat must stay moist – balance needed |
| Texture | Multiple texture layers: skin -> collagen -> fat -> muscle |
| Structure | Uneven shape makes heat distribution tricky |
| Steps | Brine -> Dry -> Low cook -> High blast (but low manual work = high repeatability) |
Industrial Meaning of Precision Cooking
The higher your Precision Index, the more you rely on:
- high labor skill
- expensive ingredients
- customer tolerance for price
Result:
| Cusine | Industrial Risk |
| French | High: Only for top chefs, not scalable |
| Korean BBQ | Low: Easy to franchise, low-margin war |
| German/Italian | Middle ground: Great for owner-chefs |
3. Summary
You don’t need to use every metric perfectly. This isn’t science — it’s a diagnostic toolkit to guide your decision-making. It’s enough to understand the concept.
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