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Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Improvement of Restaurant Operation by Sharing Order and Customer Information

Improvement of Restaurant Operation by Sharing Order and Customer Information
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Author(s): Takeshi Shimmura (National Institute of Advanced Industrial Science and Technology, Japan), Takeshi Takenaka (National Institute of Advanced Industrial Science and Technology, Japan)and Motoyuki Akamatsu (National Institute of Advanced Industrial Science and Technology, Japan)
Copyright: 2012
Pages: 17
Source title: Intelligent and Knowledge-Based Computing for Business and Organizational Advancements
Source Author(s)/Editor(s): Hideyasu Sasaki (Chinese University of Hong Kong, Hong Kong), Dickson K.W. Chiu (The University of Hong Kong, Hong Kong), Epaminondas Kapetanios (University of Westminster, UK), Patrick C.K. Hung (University of Ontario Institute of Technology, Canada), Frederic Andres (National Institute of Informatics, Japan), Ho-fung Leung (The Chinese University of Hong Kong, Hong Kong)and Richard Chbeir (Bourgogne University, LE2I CNRS, France)
DOI: 10.4018/978-1-4666-1577-9.ch014

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Abstract

In full-service restaurants, it is important to share customer information among staff members in real time in order to perform complicated operations. Conventional point of sale (POS) systems in restaurants was developed to improve the verification and transmission of order information passed from the dining hall to the kitchen. However, POS systems have remained insufficient to share customers’ order information among many staff members in different positions. This paper introduces an information sharing system for full-service restaurants using an advanced POS system with which staff members can share order information in real time. Using this system, kitchen staff members can grasp the total number of orders and the elapsed time for preparation of each order. Moreover, service staff members can grasp the status of each customer quickly. Using this system in a large-scale restaurant, preparation processes can be made more efficient and reduce customer complaints.

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