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

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<strong>Food</strong> <strong>Service</strong> <strong>Manual</strong> <strong>for</strong> <strong>Health</strong> <strong>Care</strong> <strong>Institutions</strong><br />

504<br />

Exhibit 15.1. Customer Survey Form <strong>for</strong> a New Menu Item<br />

We need your assistance in helping us to meet our goal of serving you high-quality food that tastes<br />

good. Please share your comments with us about this new menu item by filling out this questionnaire<br />

and dropping it in the suggestion box located in the cafeteria.<br />

1. Menu item<br />

2. Menu item served at proper temperature? Yes No<br />

3. Menu item cooked properly? Yes No<br />

4. Did the item have eye appeal? Yes No<br />

5. Did you like the taste of new menu item?<br />

Enjoyed<br />

Acceptable<br />

Disliked<br />

6. Did size and shape enhance product? Yes No<br />

7. Is there anything you can recommend to improve this menu item?<br />

engineering have been proposed. One method categorizes menu items based on both profitability<br />

and popularity. One of the more popular methods uses three categories based on the<br />

contribution and volume of each menu item. The category in which a menu item is placed<br />

determines whether the item will be retained (on the current and future menus), repositioned<br />

(perhaps as a side dish), or eliminated (from all present and future menus). These techniques<br />

can be time-consuming without the assistance of a computer software program.<br />

Computer Applications<br />

Computer-assisted procedures are used <strong>for</strong> menu planning in some facilities. To take advantage<br />

of the computer’s speed, accuracy, and capacity, menu-planning in<strong>for</strong>mation must be expressed<br />

in quantitative terms. Programs can be designed to plan menus that consider labor and raw<br />

food costs, nutrient content, color, consistency, frequency, and other factors. However, two<br />

variables—nutrient content and raw food cost—are the most widely used in current computerassisted<br />

menu-planning programs.<br />

The greatest obstacle to computer-assisted menu planning has been the absence of sufficient<br />

data about each variable. Unless the food service department uses standardized recipes <strong>for</strong><br />

every item produced, there is little point in planning menus that accurately fulfill nutrient<br />

requirements and meet cost limitations. The ingredients used in each recipe must be issued<br />

through a controlled procedure, and production workers must follow recipes exactly.<br />

<strong>Food</strong> composition data must be available <strong>for</strong> each food item. However, values <strong>for</strong> some<br />

items on the market either are not available or differ from those stated in government handbooks.<br />

Nutrient data <strong>for</strong> many products must be obtained from their manufacturers. In some<br />

cases, the food service director must develop the data.<br />

The menu planner must specify such variables as the frequency with which menu items<br />

may be served and the food combinations allowed on one menu. This process involves coding<br />

<strong>for</strong> ingredients, color, flavor, shape, and other factors in such a way that the computer can identify<br />

these considerations and deal with them. Menu cost is a combination of raw food cost and<br />

labor cost. Yet, because accurate production time data are not available <strong>for</strong> most food items<br />

and are difficult to obtain, precise planning <strong>for</strong> labor costs may be impossible. Flexibility in<br />

adjusting to the special needs of customers or incorporating new items is severely limited as<br />

well. These are a few of the problems involved in computer-assisted menu planning that have

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