Improvement of Restaurant Operation by Sharing Order and Customer Information

Author:

Shimmura Takeshi1,Takenaka Takeshi1,Akamatsu Motoyuki1

Affiliation:

1. National Institute of Advanced Industrial Science and Technology, Japan

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.

Publisher

IGI Global

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhancing Food Service Sales through AI and Automation in Convenience Store Kitchens;Global Disclosure of Economics and Business;2021-12-31

2. Simpra: A Cloud Based Integrated Restaurant and Kitchen Management System;2021 15th Turkish National Software Engineering Symposium (UYMS);2021-11-17

3. Digital Ordering Improves Labor Productivity in Multiproduct Restaurants;Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems;2021

4. Evolutionary design framework for Smart PSS: Service engineering approach;Advanced Engineering Informatics;2020-08

5. Human–Robot Hybrid Service System Introduction for Enhancing Labor and Robot Productivity;IFIP Advances in Information and Communication Technology;2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3