Food & Beverage Controls

Chapter 7
Production, Yield, Portion and Waste Control

Post Graduate Program in Hotel Management
Food & Beverage Controls   •   Post Graduate

Production, Yield, Portion and Waste Control

Introduction

Food and beverage control is not achieved merely by purchasing economically. A hotel may buy ingredients at competitive prices and still experience poor profitability because of inaccurate yields, excessive trimming, overproduction, inconsistent portions, cooking losses, spoilage, or unrecorded waste. Production, yield, portion and waste control connect purchasing decisions with the plate served to the guest and the financial result recorded by the operation.

These controls are particularly important in hotels because demand is variable, menus are extensive, service periods are time-sensitive, and quality expectations are high. Control systems must therefore balance four objectives: cost efficiency, food safety, service quality and guest satisfaction. Excessive control can be as damaging as inadequate control if it produces undersized portions, unattractive presentation, nutritional imbalance or unsafe holding practices.

At postgraduate level, the central managerial issue is not simply how to calculate food cost. It is how to design a reliable operating system in which standards, people, information and technology support consistent decisions under conditions of uncertainty.

Learning Objectives

By the end of this chapter, the learner should be able to:

  1. Explain the relationship between production planning, yield, portion and waste control.
  2. Construct and evaluate standardized recipes.
  3. Calculate edible portion yield, yield percentage, butcher-test results and cooking loss.
  4. Determine recipe cost, portion cost and selling-price implications.
  5. Design production schedules using forecast demand, opening stock and safety allowances.
  6. Diagnose waste and distinguish unavoidable, avoidable and quality-related waste.
  7. Integrate food safety, nutrition, service quality and guest expectations into control decisions.
  8. Evaluate technology-enabled control systems and their limitations.

1. The Control Logic of Food Production

A food production system transforms purchased ingredients into saleable portions. The transformation may be represented as:

Purchase quantity → preparation yield → cooking yield → portioning → service → recorded sales and waste

Each stage can create variation. A 10 kg case of potatoes is not equivalent to 10 kg of usable potato. A raw steak loses mass during trimming and cooking. A sauce may reduce in volume. A buffet item may be replenished although demand is weak. Consequently, the relevant managerial question is not “What did the ingredient cost?” but “What did the usable, saleable portion cost?”

A useful control architecture has five linked standards:

  • Input standard: specification, quantity, quality and purchase price.
  • Process standard: preparation method, equipment, time and temperature.
  • Yield standard: expected usable quantity after preparation and cooking.
  • Portion standard: weight, volume, count and presentation of each serving.
  • Output standard: expected number of portions, sales, waste and guest response.

A control is effective only when actual performance is compared with a clearly defined standard and corrective action follows. Recording figures without acting on them creates administrative data rather than management control.

2. Standardized Recipes

A standardized recipe is an authorized production document specifying the ingredients, quantities, method, equipment, yield, portion size, quality criteria and control information required to produce a dish consistently. It is both a culinary document and a cost-control instrument.

A robust standardized recipe normally includes:

ComponentTypical content
IdentificationRecipe name, code, menu category and revision date
IngredientsProduct description, purchase unit, quantity and specification
MethodPreparation sequence, equipment and critical process points
YieldTotal finished quantity and expected number of portions
PortionWeight, volume, count or plating specification
CostIngredient cost, portion cost and relevant cost assumptions
QualityAppearance, texture, flavour, temperature and garnish
SafetyAllergen information, critical temperatures and holding limits
ControlResponsible employee, approval and review procedure

2.1 Recipe standardization and managerial value

Standardization supports purchasing, scheduling, training, menu pricing and performance evaluation. It also reduces dependence on individual memory. However, standardization should not eliminate professional judgment. Ingredients vary by season, supplier and maturity; equipment differs in heat distribution; and guests may require legitimate dietary adaptations. The standard is therefore a controlled reference point, not an excuse to ignore evidence.

A recipe should specify whether quantities are purchased, edible, or cooked weights. Confusing these bases produces serious costing errors. For example, “2 kg carrots” could mean 2 kg purchased carrots, 2 kg peeled carrots, or 2 kg cooked carrots. The basis must be explicit.

2.2 Recipe scaling

A recipe can be scaled using a conversion factor:

Conversion factor = Required yield ÷ Standard recipe yield

The required yield and standard yield must be expressed in the same unit, such as portions or litres. Each ingredient quantity is multiplied by the conversion factor. This method assumes that the recipe scales proportionally. That assumption may not hold for seasoning, evaporation, pan loading, thickening agents or equipment capacity. Large-batch production should therefore be validated by a test batch.

Example. A soup recipe yields 24 portions and requires 3.6 litres of stock. A banquet requires 80 portions.

Conversion factor = 80 ÷ 24 = 3.3333

Required stock:

3.6 litres × 3.3333 ≈ 12.0 litres

The calculation provides a starting quantity. The chef should verify final volume because evaporation and vessel geometry may differ between the standard and the banquet batch.

3. Yield Control

Yield is the usable output obtained from a purchased or processed input. It is central to comparing suppliers, setting recipe quantities and calculating realistic food cost.

3.1 Basic yield percentage

Yield percentage = (Edible or usable weight ÷ As-purchased weight) × 100

Weights must use the same unit, normally kilograms or grams. The formula applies when the output and input are measured on a comparable basis. It does not by itself describe cooking shrinkage unless the output is specifically the cooked weight.

Example. A 12 kg case of carrots produces 9 kg of peeled, trimmed carrots.

Yield percentage = (9 ÷ 12) × 100 = 75%

The remaining 25% may consist of peel, ends, damaged material and unavoidable loss. Whether it is genuinely waste depends on the operation’s approved secondary uses, such as stock production.

3.2 Yield-adjusted ingredient cost

If the purchase cost is known, the cost of one unit of usable product is:

Cost per usable unit = Purchase cost ÷ Usable quantity

Equivalently, when yield is expressed as a decimal:

Yield-adjusted cost per unit = Purchase price per purchased unit ÷ Yield factor

The yield factor is yield percentage divided by 100. For a 75% yield, the yield factor is 0.75.

Example. A 12 kg case costs £18 and yields 9 kg usable product.

Cost per usable kilogram = £18 ÷ 9 kg = £2.00 per kg

Using the yield factor gives the same result:

£18 ÷ 12 kg = £1.50 per purchased kg
£1.50 ÷ 0.75 = £2.00 per usable kg

The result assumes that all purchased units have the tested yield and that the purchase price excludes additional relevant costs such as freight or processing labour. If these costs are material, they should be included consistently in the chosen cost basis.

3.3 Butcher tests

A butcher test measures the transformation of a meat, poultry or fish item from as-purchased condition into usable cuts and by-products. It generally records:

  • as-purchased weight;
  • trim and bone weight;
  • individual cut weights;
  • usable meat weight;
  • by-products retained for stock or other use;
  • waste weight;
  • purchase price;
  • cost per usable kilogram or per cut.

The mass balance should be checked:

As-purchased weight = Usable product weight + By-product weight + Waste weight + Measurement discrepancy

A small discrepancy may arise from moisture, scale error or handling. A large discrepancy indicates poor measurement or an unrecorded loss.

Illustrative butcher test. A 20 kg primal costs £160. After fabrication, 14 kg becomes saleable steaks, 3 kg becomes trim for mince, 2 kg becomes stock bones and 1 kg is waste.

The total recovered material is 20 kg, so the mass balance is complete. If only steaks are considered, the yield is:

Steak yield = (14 ÷ 20) × 100 = 70%

If the operation assigns economic value to mince and bones, the effective recovery is greater than the steak yield. This distinction matters when comparing a primal with pre-portioned steaks. A low primary-cut yield does not automatically mean poor purchasing if secondary products are valuable and reliably used.

3.4 Cooking yield and cooking loss

Cooking changes both weight and volume through evaporation, rendering of fat, absorption of water and structural changes. Cooking loss is commonly calculated as:

Cooking loss percentage = ((Raw weight − Cooked weight) ÷ Raw weight) × 100

Cooking yield is:

Cooking yield percentage = (Cooked weight ÷ Raw weight) × 100

When only weight changes are considered and the same measurement basis is used:

Cooking yield percentage = 100% − Cooking loss percentage

Example. A 5 kg raw roast weighs 4.1 kg after cooking and resting.

Cooking loss = ((5.0 − 4.1) ÷ 5.0) × 100 = 18%
Cooking yield = (4.1 ÷ 5.0) × 100 = 82%

The figures apply only to the cooking method, cut, equipment, endpoint temperature and resting procedure tested. They should not be transferred uncritically to another product or process.

3.5 Yield testing as an experimental process

A credible yield test requires a defined protocol:

  1. Calibrate or verify the scale.
  2. Record supplier, product specification, delivery date and purchase price.
  3. Weigh the product before preparation.
  4. Separate edible portions, usable by-products and waste.
  5. Weigh each category independently.
  6. Record preparation method and staff member.
  7. Repeat the test sufficiently to identify normal variation.
  8. Review the result against supplier claims and historical data.

One test is evidence, not necessarily a standard. Seasonal products, staff technique and supplier grading can alter results.

4. Portion Control

Portion control is the systematic management of the quantity and presentation of food issued to each guest. It protects gross margin while promoting fairness and consistency. It also supports nutritional disclosure and allergen management.

Portions can be controlled by:

  • calibrated scales for proteins, cheese and bakery items;
  • ladles, scoops and disher sizes for soups, sauces and vegetables;
  • standardized cups, jugs and bottles for beverages;
  • count controls for oysters, dumplings and canapés;
  • plating diagrams and photographs;
  • pre-portioned ingredients;
  • point-of-sale links between sales and production.

Portion size should be defined by a measurable basis. “A generous serving” is not a control standard. A specification such as “150 g cooked fish, 180 ml sauce and 120 g vegetables” is auditable.

4.1 Portion cost

Portion cost = Total recipe cost ÷ Number of saleable portions

If a recipe produces 40 saleable portions at a total ingredient cost of £120:

Portion cost = £120 ÷ 40 = £3.00

The word saleable is important. If two portions are lost through overproduction or damage, the cost of the remaining portions is not £120 ÷ 40 unless 40 portions were actually available for sale. If 38 portions are saleable, the realized ingredient cost per saleable portion is:

£120 ÷ 38 ≈ £3.16

This demonstrates how waste increases effective cost even when the recipe itself has not changed.

4.2 Portion variance

Portion variance can be monitored as:

Portion variance = Actual portion quantity − Standard portion quantity

For relative comparison:

Percentage variance = ((Actual − Standard) ÷ Standard) × 100

A 165 g portion against a 150 g standard produces:

((165 − 150) ÷ 150) × 100 = 10% over-portioning

The financial impact depends on the ingredient cost per gram and the number of portions served. Managers should avoid treating every variance as misconduct. Causes may include equipment calibration, product geometry, rushed service, training gaps or a deliberate quality adjustment.

5. Production Scheduling and Forecasting

A production schedule translates expected demand into timed preparation tasks. It should identify what is to be produced, how much, when, by whom, with which equipment and under what safety conditions.

A simple production quantity model is:

Production quantity = Forecast demand + Planned safety stock − Usable opening stock − Confirmed incoming production

The terms must refer to the same product and service period. Safety stock is not a universal percentage; it should reflect demand uncertainty, perishability, replenishment time and service consequences.

Forecast demand may be based on:

  • historical sales by day and meal period;
  • confirmed reservations and functions;
  • occupancy and expected capture rate;
  • weather and local events;
  • menu position and promotions;
  • recent demand trends;
  • known dietary or group requirements.

For a buffet, production may be staged in smaller batches rather than prepared entirely at the beginning. This reduces exposure time and protects quality. For à la carte service, mise en place quantities should support likely demand without creating excessive pre-cooked stock.

5.1 Worked production example

A hotel expects to sell 96 portions of a chicken dish. Management authorizes a 5% service buffer. There are 8 portions of safe, suitable opening stock. No additional usable production is available.

Safety stock = 96 × 0.05 = 4.8 portions

Since a fraction cannot be produced as a portion, the operation may round according to its policy. If it rounds to 5 portions:

Production quantity = 96 + 5 − 8 = 93 portions

The schedule should also examine whether the opening stock is within its approved shelf life and whether its quality is acceptable. The calculation is not a substitute for food-safety judgment.

6. Waste Control

Waste control begins with classification. Without classification, managers cannot identify causes or assign responsibility appropriately.

Waste categoryExamplesTypical control response
Preparation wastePeels, bones, trimmingsYield testing, improved cutting, secondary use
Production wasteBurnt sauce, overcooked pastaTraining, equipment checks, batch control
SpoilageExpired, mouldy or temperature-abused foodStock rotation, receiving and storage control
Service wasteReturned plates, buffet leftoversPortion review, menu analysis, demand staging
Quality wasteFood rejected for appearance or specificationSupplier and process review
Unavoidable wasteInedible bones or shellsAccurate standards and responsible disposal
Preventable wasteExcess production or careless handlingForecasting, accountability and supervision

Waste should be measured by quantity and, where practical, by cost. Weight alone can mislead: a small quantity of saffron may represent more value than a large quantity of vegetable peel.

A basic waste cost is:

Waste cost = Wasted quantity × Cost per unit of wasted product

For a prepared dish, the appropriate cost may be the cost per usable or cooked unit rather than the original purchase cost. Waste records should include date, item, quantity, reason, estimated cost, responsible area and corrective action.

6.1 Waste hierarchy

A practical hierarchy is:

  1. Prevent surplus through better forecasting.
  2. Reduce process loss through specifications and training.
  3. Reuse safely in an approved secondary application.
  4. Donate or redistribute where legal and safe.
  5. Recover value through animal feed or other authorized systems.
  6. Recycle or compost.
  7. Dispose as the least preferred option.

Reuse is not automatically good control. Food must remain traceable, within time-temperature limits and suitable for the new application. A manager must never authorize reuse merely to improve a waste statistic.

6.2 Waste percentage

A simple operational indicator is:

Waste percentage = (Waste quantity ÷ Total input quantity) × 100

This is useful only when the input boundary is consistent. Comparing a kitchen that records peelings with one that records only discarded cooked food produces an invalid comparison. For financial analysis, a value-based measure may be more informative:

Waste value percentage = (Waste cost ÷ Total food input cost) × 100

7. Integrating Cost, Safety, Nutrition and Quality

Control decisions often involve trade-offs. Reducing a portion may lower cost but harm satisfaction. Extending a holding period may reduce waste but increase food-safety risk. Replacing a high-cost ingredient may improve margin but damage authenticity or nutritional value.

7.1 Food safety

Production control must operate within the applicable national food law and the hotel’s approved food-safety management system. Critical control points may include cooking, cooling, reheating, hot holding, cold holding, allergen handling and cross-contamination prevention. Exact temperature limits should be taken from current local regulation and validated procedures rather than copied from a generic textbook.

Control records should demonstrate:

  • product identification and traceability;
  • time and temperature monitoring;
  • corrective action for deviations;
  • separation of raw and ready-to-eat food;
  • allergen communication;
  • cleaning and sanitation verification;
  • authorized disposition of leftovers.

Food safety has priority over recovery of cost. A discarded product may represent financial loss, but retaining unsafe food creates a much greater legal, ethical and reputational risk.

7.2 Nutrition and guest expectations

Portion control should not be reduced to minimizing grams. Managers must consider dietary balance, cultural expectations, menu promises, special diets and transparency in nutritional information. A smaller portion may be appropriate when accompanied by menu choice, but covert shrinkage undermines trust.

Guest feedback should be interpreted with operational data. Complaints about “small portions” may reflect plate design, garnish, meal composition or price expectations rather than weight alone. Conversely, high plate returns may signal excessive portions, poor quality or a mismatch between description and delivery.

8. Performance Measurement and Variance Analysis

A useful control system compares standard and actual results. Common measures include:

  • actual yield versus standard yield;
  • actual portion weight versus standard;
  • actual production versus forecast;
  • waste quantity and value;
  • theoretical food cost versus actual food cost;
  • sales mix and contribution by menu item;
  • returned-plate frequency;
  • guest satisfaction and complaint patterns.

Theoretical food cost estimates what food cost should have been for the recorded sales, assuming standards were followed. Actual food cost reflects purchases, inventory change and operational losses. The difference may arise from over-portioning, waste, theft, incorrect recipe data, inventory errors or sales-recording problems.

Variance analysis should ask four questions:

  1. Is the variance material and recurring?
  2. Is the standard realistic and current?
  3. What operational cause explains the difference?
  4. What corrective action is feasible without harming safety or quality?

A punitive response to unexplained variance can encourage under-recording. A learning-oriented system encourages accurate reporting and focuses on root causes.

9. Technology and AI in Control Systems

Modern hotels may use integrated purchasing, inventory, recipe, point-of-sale and production systems. Barcode scanning, digital scales, kitchen display systems and mobile waste logs can improve timeliness and traceability.

AI and analytics may support demand forecasting by combining occupancy, reservations, weather, events and historical sales. However, forecasts are only as reliable as the data and assumptions supplied. A model trained on a period of unusual occupancy may overproduce when conditions normalize. Human review remains necessary, particularly for functions, menu changes, disruptions and food-safety decisions.

Useful technology controls include:

  • version-controlled recipes;
  • automatic conversion between purchase and edible units;
  • alerts for unusual yield or portion variance;
  • waste photographs linked to categories;
  • dashboard trends by outlet and meal period;
  • audit trails for recipe and price changes;
  • role-based access to prevent unauthorized edits.

Technology can create false precision. A dashboard showing “2.37% waste” is not meaningful if staff weigh inconsistently or omit unrecorded waste. Data governance—definitions, ownership, validation and audit—is therefore as important as software selection.

10. Applied Case: The Harbour Grand Hotel Buffet

Background

The illustrative Harbour Grand Hotel operates a 220-seat breakfast buffet. Occupancy varies between 55% and 95%. Management observed rising food cost, frequent replenishment of cooked items and inconsistent guest feedback about freshness.

Problem

The hotel’s waste records combined preparation waste, buffet leftovers and spoiled stock in one category. Production staff prepared the full expected quantity before service. There was no agreed safety buffer, and recipes used a mixture of raw and cooked weights. The purchasing manager therefore could not distinguish supplier yield problems from kitchen overproduction.

Analysis

A four-week review produced the following findings:

  • cooked potatoes had a standard yield of 82%, but actual yield averaged 76%;
  • bacon was cooked in large batches, creating quality deterioration and leftovers;
  • portion utensils differed between shifts;
  • buffet waste was not weighed by item;
  • the point-of-sale system recorded covers but was not connected to production quantities;
  • staff feared that reporting waste would lead to blame, so some losses were omitted.

The first managerial conclusion was that the problem was not simply “high food cost.” It was a weak measurement system combined with batch-production decisions.

Approach and solution

The hotel introduced the following controls:

  1. Standardized recipes were rewritten with explicit purchased, edible and cooked quantities.
  2. Yield tests were repeated for potatoes, fruit and bakery products.
  3. Breakfast demand was forecast by occupancy, weekday and group profile.
  4. Hot items were produced in two planned batches, with a controlled replenishment trigger.
  5. Each buffet item received a labelled waste container and reason code.
  6. Standard ladles and tongs were assigned to high-volume items.
  7. A daily ten-minute review examined waste, guest comments and stock risks.
  8. Staff were told that accurate reporting was a performance requirement, not a reason for automatic punishment.
  9. Food-safety verification remained independent of cost-saving targets.

Outcome

After six weeks, recorded waste increased during the first week because previously hidden losses were captured. This was a measurement improvement, not an operational deterioration. Thereafter, avoidable cooked-food waste declined, quality complaints reduced and production became more closely aligned with actual demand. The hotel also discovered that one supplier’s potato specification produced a significantly lower yield than the contracted standard and renegotiated the specification.

Learning points

The case demonstrates that effective control is systemic. Better forecasting alone would not have solved inconsistent yields; portion tools alone would not have solved overproduction; and a waste target alone might have encouraged unsafe reuse. Reliable results required standardized definitions, staff participation, food-safety safeguards and management review.

11. Limitations and Governance Issues

Control systems have limitations. Yield varies naturally, forecasts are uncertain, and recipe costs change with market prices. Managers should avoid setting standards so tightly that normal variation becomes a failure. They should also distinguish controllable from uncontrollable variance.

Ethically, control must not become covert reduction of guest value, unsafe reuse, manipulation of records or unfair blame. Employees should be trained, provided with suitable equipment and informed about why data are collected. Waste records may also contain staff-identifiable information and should be managed according to organizational privacy policies.

Governance requires documented approval for recipe changes, price updates, supplier substitutions and allergen modifications. Periodic audits should test whether the documented standard reflects actual practice. A recipe that exists only in a folder but is not used in the kitchen is not an effective control.

Best-Practice Framework

An integrated production and waste-control system should:

  • define every measurement basis clearly;
  • test yields rather than rely on assumptions;
  • cost usable product, not merely purchased product;
  • specify measurable portions;
  • forecast demand and stage production;
  • classify waste by cause and value;
  • protect food safety and allergen control;
  • include nutrition and guest expectations;
  • use technology with validated data;
  • review standards when products, equipment or demand change;
  • encourage accurate reporting and corrective learning.

Chapter Summary

Production, yield, portion and waste control form a connected system linking purchasing to guest service and profitability. Standardized recipes establish the technical and financial reference point. Yield tests and butcher tests reveal how much purchased product becomes usable food, while cooking-loss analysis explains changes caused by heat, evaporation and rendering. Portion control protects consistency, cost and nutritional expectations.

Production schedules should combine forecast demand, safety stock and usable opening inventory, but calculations must be validated by food-safety and quality requirements. Waste control is most effective when waste is classified, weighed, valued and linked to corrective action. The objective is not merely to reduce recorded waste; it is to prevent avoidable loss while ensuring safe, attractive and satisfactory food.

At postgraduate management level, the essential insight is that no single metric is sufficient. Financial results must be interpreted alongside yield variation, operational capability, food safety, nutrition, guest feedback and staff behaviour. Technology can improve visibility and forecasting, but it cannot replace sound definitions, reliable measurement and accountable managerial judgment.

Key Terms

Standardized recipe: An approved recipe specifying ingredients, method, yield, portions and quality requirements.

Yield: The usable output obtained from a purchased or processed input.

Yield percentage: Usable quantity expressed as a percentage of as-purchased quantity.

Edible portion: The part of a product suitable for the intended food application.

Butcher test: A test measuring the transformation of meat, poultry or fish into cuts, trim, by-products and waste.

Cooking loss: Reduction in product weight resulting from cooking and related processes.

Cooking yield: Cooked weight expressed relative to raw weight.

Portion control: The management of the quantity and presentation issued to each guest.

Portion variance: Difference between actual and standard portion quantity.

Production schedule: A timed plan specifying what, how much, when and by whom food is produced.

Safety stock: Additional planned quantity held to accommodate uncertainty in demand or supply.

Waste: Food or material that is discarded, lost or rendered unusable.

Waste classification: Categorization of waste by source, cause or operational stage.

Theoretical food cost: Expected food cost based on standards and recorded sales.

Actual food cost: Food cost indicated by purchases, inventory movement and operational records.

Mass balance: Reconciliation of input weight with usable output, by-products, waste and discrepancy.

Food safety: Practices that prevent food from causing illness or harm.

Recipe scaling: Adjusting ingredient quantities to produce a different yield.

Data governance: Policies and procedures controlling data definitions, accuracy, access and use.

Review Questions

Short Answer Questions

  1. What is the purpose of a standardized recipe in food and beverage control?
  2. Define yield percentage and identify the measurement units required for its calculation.
  3. Distinguish between cooking loss and cooking yield.
  4. Why should waste be classified by cause rather than recorded as one total?
  5. Identify two ways in which portion control supports guest service.

Long Answer Questions

  1. Explain how yield testing, recipe costing and portion control interact to determine the cost of a saleable portion.
  2. Discuss the design of an effective production schedule for a variable-demand hotel buffet.
  3. Evaluate the role of standardized recipes in balancing consistency with culinary judgment.
  4. Explain how food safety, nutrition and guest expectations limit purely cost-based control decisions.
  5. Discuss the benefits and limitations of integrated digital and AI-supported food-control systems.

Analytical / Application Questions

  1. A 15 kg case of a vegetable costs £24 and produces 10.5 kg of trimmed usable product. Calculate the yield percentage and cost per usable kilogram. Explain how the result should influence purchasing and recipe costing.
  2. A recipe costs £168 and is expected to produce 56 portions, but four portions are discarded after production. Calculate the planned portion cost and the realized cost per saleable portion. Identify two possible managerial responses.
  3. A hotel records high buffet waste but also receives complaints that replenished food is not fresh. Design a control intervention that addresses demand forecasting, batch production, waste recording and food safety without reducing guest choice.

Multiple Choice Questions with Answers

Question 1

A 12 kg case of carrots produces 9 kg of usable trimmed carrots. What is the yield percentage?

A. 25%

B. 60%

C. 75%

D. 133.3%

Correct Answer: C. 75%

Question 2

A recipe costs £120 and produces 40 saleable portions. What is the portion cost?

A. £2.00

B. £3.00

C. £4.00

D. £4.80

Correct Answer: B. £3.00

Question 3

A 5 kg roast weighs 4.1 kg after cooking. What is the cooking loss percentage?

A. 8%

B. 18%

C. 22%

D. 82%

Correct Answer: B. 18%

Question 4

Which document most directly specifies ingredients, method, yield, portion and quality requirements?

A. Purchase order

B. Standardized recipe

C. Guest comment card

D. Cashier report

Correct Answer: B. Standardized recipe

Question 5

A hotel expects demand of 96 portions, plans 5 additional portions as safety stock, and has 8 usable portions in opening stock. What quantity should be produced?

A. 83 portions

B. 93 portions

C. 101 portions

D. 109 portions

Correct Answer: B. 93 portions

Question 6

Which is the most appropriate first priority when deciding whether leftovers may be reused?

A. Reducing the waste percentage

B. Maximizing menu variety

C. Confirming food safety and traceability

D. Increasing the selling price

Correct Answer: C. Confirming food safety and traceability

Question 7

In a butcher test, which relationship represents a basic mass balance?

A. Purchase price = selling price + profit

B. As-purchased weight = usable product + by-products + waste + discrepancy

C. Cooked weight = raw weight + waste

D. Yield percentage = purchase price ÷ portion price

Correct Answer: B. As-purchased weight = usable product + by-products + waste + discrepancy

Question 8

A standard portion is 150 g and the actual portion is 165 g. What is the percentage variance?

A. 5% over

B. 10% over

C. 15% over

D. 110% over

Correct Answer: B. 10% over

Question 9

Why can a dashboard showing a precise waste percentage still be unreliable?

A. Waste never has financial value

B. Technology eliminates measurement error

C. The data may be incomplete or inconsistently defined

D. Forecasting is unrelated to waste

Correct Answer: C. The data may be incomplete or inconsistently defined

Question 10

Which production approach generally reduces quality deterioration in a variable-demand buffet?

A. Preparing the entire forecast quantity before service

B. Preparing no food until guests request it

C. Producing staged batches with controlled replenishment

D. Ignoring opening stock

Correct Answer: C. Producing staged batches with controlled replenishment

Food & Beverage Controls
Chapter 7 of 15