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Food-Service-Manual-for-Health-Care-Institutions

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An assembly-and-serve system requires minimal use of skilled labor. Labor costs should<br />

decrease if the foods used in the system are at a maximum convenience level. However, labor savings<br />

must compensate <strong>for</strong> the higher food costs characteristic of an assembly-and-serve system.<br />

The system should eliminate the need <strong>for</strong> most standard production equipment, but in<br />

many cases it does not. Many operations are reluctant to abandon the option of on-premises<br />

production in case the quality, availability, or cost of the prepared items fails to meet expected<br />

standards. Thus, a primary economic advantage is lost.<br />

Questions related to the feasibility of implementing an assembly-and-serve system include<br />

the following:<br />

• Do available products meet the operation’s nutrition standards <strong>for</strong> normal and modified<br />

diets?<br />

• Are enough products available to provide variety throughout the menu cycle?<br />

• Do products meet the quality standards of the operation and its customers?<br />

• Is the cost per serving within an acceptable range?<br />

• Is the operation’s storage space sufficient <strong>for</strong> handling disposable ware?<br />

• Will changes be required in the type and amount of equipment needed <strong>for</strong> reheating foods?<br />

• Is the facility’s refrigerator and freezer space adequate?<br />

• How many labor hours can be eliminated with this system?<br />

• How will tray assembly and delivery be per<strong>for</strong>med?<br />

• Will additional packaging materials create waste disposal problems?<br />

In an assembly-and-serve system, attention must be paid to preventing microbiological<br />

contamination at critical control points. Some of the hazards present in other systems are eliminated<br />

because there is little or no on-premises food preparation. The amount of freezer and<br />

refrigeration space needed <strong>for</strong> storing and thawing frozen foods be<strong>for</strong>e final heating exceeds<br />

that needed in cook-and-serve systems. Thawing or tempering frozen products must be carried<br />

out under refrigeration, and storage times <strong>for</strong> purchased chilled foods should be kept to a minimum.<br />

Perishable foods must be maintained at 41°F (5°C) or lower during portioning, assembly,<br />

and distribution. In the reheating stage, foods must reach temperatures of at least 140°F<br />

(60°C) as rapidly as possible. For maximum safety and palatability, an end-point temperature<br />

of 165°F (74°C) is recommended <strong>for</strong> most hot foods. <strong>Food</strong> temperatures should be routinely<br />

checked be<strong>for</strong>e service. As in other systems, personnel and equipment sanitation are essential<br />

to control microbiological hazards.<br />

Production Forecasting<br />

In addition to determining the type of food production system (or combination of systems) to<br />

be implemented, the food service director must decide which <strong>for</strong>ecasting technique is appropriate<br />

<strong>for</strong> the food service operation. Forecasting is the process of estimating a future event<br />

based on past data; it is also determining how much of which product to produce. Because most<br />

food production systems require extensive advanced preparation of menu items, productiondemand<br />

<strong>for</strong>ecasting is critical to satisfying customer expectations. Some operations now use<br />

a computer-based in<strong>for</strong>mation system to <strong>for</strong>ecast production levels. In selecting a system <strong>for</strong><br />

<strong>for</strong>ecasting, it is important to choose a system that is user friendly, where the cost is within<br />

budget allocations, and that can be programmed <strong>for</strong> the facility’s food service department <strong>for</strong><br />

its specific production system.<br />

Forecasting Techniques<br />

Forecasting techniques can be divided into three categories: subjective, time-series, and causal<br />

models. A subjective technique is the simplest model. This technique uses in<strong>for</strong>mation, experience,<br />

and intuition to determine the amount of product to produce. This technique works well<br />

<strong>Food</strong> Production<br />

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