Data-driven cooking planning system for improving customer time satisfaction Online publication date: Fri, 16-Jun-2023
by Shuya Sawa; Kotomichi Matsuno; Takahiro Ohno; Yoshikuni Edagawa; Takaaki Kawanaka; Shinya Takata
Asian J. of Management Science and Applications (AJMSA), Vol. 7, No. 2, 2022
Abstract: In recent years, there has been a growing tendency to place much value on service, and restaurants have no choice but to provide more personalised services than ever before that. Especially in fine dining restaurants, customers enjoy the overall experience at their mealtime. On the other hand, previous research on scheduling food preparation basically focuses only on rational efficiency and does not fully take into account the customer's eating pace, which is one of the significant factors contributing to the customer experience. In this study, we therefore developed a cooking scheduling system that takes the progress of both customer's eating time and cooking progress into account, and we verified its effectiveness through numerical experiments. In addition, we propose a next-generation food serving system to improve customer time satisfaction using our system.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the Asian J. of Management Science and Applications (AJMSA):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com