Development of a dine-in food ordering mobile application
This report presents the issue of queues commonly encountered by customers and stallholders at hawker centres. It also highlights and evaluates the existing technologies, such as the Customer Paging System and Self-Ordering Kiosk, used by Singapore’s Food & Beverage (F&B) industry to manage...
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2022
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sg-ntu-dr.10356-1583162023-07-07T18:58:34Z Development of a dine-in food ordering mobile application Heng, Jannai Yiren Muhammad Faeyz Karim School of Electrical and Electronic Engineering faeyz@ntu.edu.sg Engineering::Electrical and electronic engineering::Computer hardware, software and systems This report presents the issue of queues commonly encountered by customers and stallholders at hawker centres. It also highlights and evaluates the existing technologies, such as the Customer Paging System and Self-Ordering Kiosk, used by Singapore’s Food & Beverage (F&B) industry to manage queues more efficiently. This report also covers the implemented solution that has been successfully developed in this project — a Dine-in Food Ordering Mobile Application — to address queues at hawker centres. A network system, which comprises the 3-tier client-server architecture, Hypertext Transfer Protocol (HTTP) and Firebase Cloud Messaging (FCM), was also implemented to enable data communication — such as sending and receiving of food orders — between customers and stallholders using the mobile application on their devices. With the mobile application and network system, stallholders will be able to automate order taking, manage food orders and queues more efficiently and reach out to their customers more easily. Thus, increasing productivity and sales for the stalls. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-06-02T07:48:12Z 2022-06-02T07:48:12Z 2022 Final Year Project (FYP) Heng, J. Y. (2022). Development of a dine-in food ordering mobile application. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158316 https://hdl.handle.net/10356/158316 en A3174-211 application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering::Computer hardware, software and systems Heng, Jannai Yiren Development of a dine-in food ordering mobile application |
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This report presents the issue of queues commonly encountered by customers and stallholders at hawker centres. It also highlights and evaluates the existing technologies, such as the Customer Paging System and Self-Ordering Kiosk, used by Singapore’s Food & Beverage (F&B) industry to manage queues more efficiently. This report also covers the implemented solution that has been successfully developed in this project — a Dine-in Food Ordering Mobile Application — to address queues at hawker centres. A network system, which comprises the 3-tier client-server architecture, Hypertext Transfer Protocol (HTTP) and Firebase Cloud Messaging (FCM), was also implemented to enable data communication — such as sending and receiving of food orders — between customers and stallholders using the mobile application on their devices. With the mobile application and network system, stallholders will be able to automate order taking, manage food orders and queues more efficiently and reach out to their customers more easily. Thus, increasing productivity and sales for the stalls. |
author2 |
Muhammad Faeyz Karim |
author_facet |
Muhammad Faeyz Karim Heng, Jannai Yiren |
format |
Final Year Project |
author |
Heng, Jannai Yiren |
author_sort |
Heng, Jannai Yiren |
title |
Development of a dine-in food ordering mobile application |
title_short |
Development of a dine-in food ordering mobile application |
title_full |
Development of a dine-in food ordering mobile application |
title_fullStr |
Development of a dine-in food ordering mobile application |
title_full_unstemmed |
Development of a dine-in food ordering mobile application |
title_sort |
development of a dine-in food ordering mobile application |
publisher |
Nanyang Technological University |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/158316 |
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1772826492455092224 |