Food Bars
Radesh Palakurthi, Juliet M. Getty, Fred J. DeMicco
Abstract
Radesh Palakurthi, Juliet M. Getty, Fred J. DeMicco
Abstract
The increasing popularity of self-service food bars poses many new operational challenges for the restaurant industry. The primary area arises in pricing since there are no restrictions on the number of times customers can refill their plates. The most commonly used method is to first choose a price the target market will bear, and then select menu items that fit the price, while leaving a reasonable profit for the operation. However, die maximum profit may not be achieved using this approach. The authors develop a technique for determining the price that maximizes profits for any combination of food bar menu items, given their relative popularity and unit cost structures. The method is based on the popular Shelf Allocation for Retailer's Profit Model (SHARP), and analysis of data is performed using a Microsoft Excel spreadsheet.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The increasing popularity of self-service food bars poses many new operational challenges for the restaurant industry. The primary area arises in pricing since there are no restrictions on the number of times customers can refill their plates. The most commonly used method is to first choose a price the target market will bear, and then select menu items that fit the price, while leaving a reasonable profit for the operation. However, die maximum profit may not be achieved using this approach. The authors develop a technique for determining the price that maximizes profits for any combination of food bar menu items, given their relative popularity and unit cost structures. The method is based on the popular Shelf Allocation for Retailer's Profit Model (SHARP), and analysis of data is performed using a Microsoft Excel spreadsheet.
Key concepts: Popularity, Profit (economics), Unit price, Bar chart, Computer science, Operations research, Microeconomics, Economics