Smart guided delivery robot

Amir, Aizat Zahimi and Mohamad Nizam, Mohamad Syukri and Saipul, Nur Syahirah and Sharifuddin, Afrina Annisa and Husaini, Yusnira and Abdul Aziz, Noor Hafizah (2023) Smart guided delivery robot. In: Johor Innovation Invention Competition and Symposium 2023. Universiti Teknologi MARA Cawangan Johor Kampus Pasir Gudang, Universiti Teknologi MARA, Johor, pp. 259-361. ISBN 978-967-0033-17-4

Abstract

Focusing on the food manufacturing sector, these sectors do play a significant part in the production of a variety of consumable goods for international markets. The food manufacturing industry places considerable physical demands on its employees, involving tasks such as lifting heavy loads and moving trolleys. These physically strenuous activities are integral to the production and logistics processes, encompassing the handling of raw materials, and finished products within the manufacturing facility. Working in an environment with few employees undoubtedly required employees to perform more tasks, such as lifting and carrying heavy objects from the store to the kitchen, which required them to expend more energy and time than if they had remained on the kitchen side and only performed their duties. To address this issue, the implementation of Smart Lean Manufacturing practices in the food industry is necessary. One viable solution involves utilizing smart guided delivery robots equipped with wireless technology. These robots can be easily monitored by users or employees in-charge, enabling them to track the robot's movement and the load it carries. The incorporation of line tracking robots, enhanced by Internet of Things (IoT) technology, offers further advancements. These innovations effectively reduce the burden of heavy workloads in the manufacturing industry, while simultaneously promoting the safety and well-being of employees in the workplace. By embracing Smart Lean Manufacturing practices and employing smart guided delivery robots, the physical strain on employees is alleviated, leading to increased efficiency and productivity.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Amir, Aizat Zahimi
aizatzahimi30@gmail.com
Mohamad Nizam, Mohamad Syukri
UNSPECIFIED
Saipul, Nur Syahirah
UNSPECIFIED
Sharifuddin, Afrina Annisa
UNSPECIFIED
Husaini, Yusnira
UNSPECIFIED
Abdul Aziz, Noor Hafizah
UNSPECIFIED
Subjects: H Social Sciences > HD Industries. Land use. Labor > Food industry and trade. Halal food industry. Certification
T Technology > TS Manufactures > Production management. Operations management > Manufacturing processes. Lean manufacturing
Divisions: Universiti Teknologi MARA, Johor > Pasir Gudang Campus > College of Computing, Informatics and Mathematics
Volume: 1
Page Range: pp. 259-361
Keywords: Smart lean manufacturing, Internet of Things (IoT), Line tracking robot
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/133810
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