Production Management Tools
Recipe Scaling
- Recipe Scaling involves adjusting a recipe to yield a different number of servings.
- Considerations include converting volumes to weights and accounting for trim loss.
Example: Scaling a Banana Recipe
- Original recipe yields 10 servings.
- Ingredient: 1/2 cup banana.
- Scaling to 120 servings requires calculating the new amount of banana.
- Determine EP (edible portion) and AP (as purchased) quantities, considering the trim.
Practice Problems - Scaling
Problem 1: Scaling Factor
- Recipe serves 50, need 80 portions.
- Scaling factor: 50 portions80 servings=1.6
Problem 2: Tuna Scaling
- Original recipe: 9 lb 6 oz tuna for 50.
- Convert 9 lb 6 oz to ounces: 9 lb×16lboz+6 oz=150 oz
- Scaled amount: 150 oz×1.6=240 oz
- Convert back to pounds: 16lboz240 oz=15 lb
- Alternatively: 9.375 lb×1.6=15 lb
Percent Yield
- Abbreviations:
- AP: As Purchased Quantity
- EP: Edible Portion Quantity
- Trim: AP - EP
- Recipes often list EP quantities; adjust order based on trim.
Percent Yield Example
- Recipe requires 5 lbs sliced onions (EP).
- Need to determine the quantity of onions to purchase (AP).
- Need to know the percent yield to calculate AP.
Calculation
- If the yield percentage from AP to EP is 88% (0.88):
0.88lb APlb EP5 lb EP=5.68 lb AP≈5.7 lb AP - AP will always be greater than or equal to EP.
Practice Problems – Percent Yield
Problem: Apple Pies
- Recipe needs 10 lbs peeled, sliced apples (EP).
- Percent yield is 78% (0.78).
- Calculation: 0.7810 lb EP=12.82 lb AP
- Round up to 13 lb AP to ensure enough yield.
How Much to Purchase Rounding
- Round to a whole number for necessary yield.
- When calculating AP (As Purchased): Round UP to ensure enough.
- When calculating EP (Edible Portion): Round DOWN to avoid too many portions.
Production in Foodservices
- Define production in foodservice.
- Review standardized recipe and production schedule formats.
- Discuss forecasting to improve accuracy and decrease waste.
Production
- Stages of food preparation from storage through serving.
- Critical control points affect food safety.
- Effective coordination is a management challenge, including communication and efficient use of inputs.
Production - Management Perspective
- Determining ingredient quantities.
- Planning labor and equipment.
- Cooking food correctly.
- Portion control (satisfaction, nutrition, budget).
Standardized Recipes
- Making food preparation easy and accurate for staff.
- Elements of Descriptive Format:
- Recipe Name
- Number of Servings
- Serving Size
- Ingredient, Weight, Measure, Procedure
Standardized Recipe – Example
- Task: Create a new recipe for a regional hospital, scaling it up and writing in descriptive format.
- Recipe: Baked Tilapia with Garlic Butter and Pasta (originally for 2 servings, scale to 50).
Steps:
- Find the scaling factor.
- Calculate new ingredient amounts.
- Fill out the descriptive recipe format.
Standardized Recipe – Ingredients (2 servings)
- 4 oz dry spaghetti, cooked
- 4 – 3 oz portions of tilapia
- 3 cloves of garlic
- 2 Tbsp of salted butter
- 6 oz of broccoli
- 1/2 tsp pepper
Directions:
- Cook pasta in boiling salted water until al dente.
- Combine butter, garlic, and pepper in a saucepan until melted and simmering.
- Brush butter mixture on the baking dish and tilapia fillets.
- Bake tilapia at 350 degrees for 12-15 minutes, until it flakes easily.
Standardized Recipe - Problem Solving
- Start with the procedures.
- Add the ingredients in order of the procedures.
- Resize the ingredient based on scaling.
- Fill out the amounts section, if possible.
- Check that the procedures still make sense with the scaling.
Standardized Recipe - Scaling Factor
- Scaling from 2 to 50 servings: 250=25
- Scaling factor = 25
- Example: Spaghetti: 4 oz * 25 = 100 oz dry = 6.25 lbs = 6 lbs 4 oz dry pasta
Standardized Recipe - Scaling Factor butter
- Butter: 2 tbsp * 25 = 50 tbsp / 16 tbsp per cup = 3.125 cups = 3 cups, 2 tbsp butter
- Weight: 1 lb butter = 2 cups
- 3. 125 cups * (1 lb/2 cups) = 1.5625 lbs = 1 lb 9 oz butter
Production Schedules
- Making sure multiple staff members work efficiently.
- Production schedule: a detailed document that communicates with production staff.
- Items to be prepared
- Who cooks or completes which task
- The amount of time each task should take
- Goal completion times
- Quantity to be produced
- Recipes to be utilized
- Portion sizes for serving
- Allowable variations for specific diets
Production Schedules Increase Efficiency
- Eases production problems.
- Helps quality control problems.
- A well-written recipe includes information about time and steps required for production.
Forecasting
- Estimating Product Demand.
- Definition: Estimating future demand by using past data.
- Utilizes data from a specific period to time to create an estimate.
- Frequently, sales records are used to assess food popularity.
Forecasting - Helpful
- Enhances the ability of food service facility to purchase and produce the needed amount of food while also maintaining a consistent standard
- It helps with:
- Preventing under/over production
- Maintaining standards
- Maintaining customer satisfaction
Forecasting - Accuracy
- Forecasting is only as good as the historical data used
- Accurate
- Consistently recorded
- Varies based on the facility
- Hospitals patient census, number of patients on therapeutic diets, or new admissions/discharges
- Schools enrollment and production records
- Restaurants customer count, items sold per meal period
Forecasting Example
- Cottonwood Unified Food Services would like to serve the same combination of items next month as the following production record.
- This production record was from December and one class was on a field trip this day.
- What things might you adjust based on forecasting?
Forecasting Example School
- Considerations: Colder weather? Missing students?
Forecasting Programs
- Forecasting and menu development are commonly completed using foodservice computer programs
- Hospitals tend to use CBORD, Computrition, etc
- Schools may use Nutrikids, HealthE Meal Planner Pro, etc
- These programs frequently have modules for forecasting, ordering, nutrient analysis, costing, production, and recipe databases.
Forecasting Models - Moving Average
- Moving Average: On a given item, the average of 7 days is calculated. Moving forward one day, the calculation is repeated. This is especially helpful with static menus.
| Days | # of patients selecting an item | Weekly average |
|---|
| 1 | 61 | |
| 2 | 63 | |
| 3 | 70 | |
| 4 | 66 | |
| 5 | 59 | |
| 6 | 55 | |
| 7 | 59 | 62 |
| 8 | 63 | |