Development of a Small Scale Material Handling Machine for Automated Storage and Retrieval System (ASRS)

Saif Ullah Iqbal

Centre of Advanced Mechanical and Green Technology, Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, 75450, Melaka, Malaysia.

C. B. Yeo

Centre of Advanced Mechanical and Green Technology, Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, 75450, Melaka, Malaysia.

Umar Nirmal *

Centre of Advanced Mechanical and Green Technology, Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, 75450, Melaka, Malaysia.

*Author to whom correspondence should be addressed.


Abstract

The current works deals with the design and development of an Automated Storage and Retrieval System (ASRS) machine for Flexible Manufacturing System (FMS). The work involved investigating ASRS machine features and operating procedures, evaluating related hardware, software and communication modules for the machine. The work explored on the different options of hardware and software modules offered in the current market and further selected the suitable one for the ASRS machine development. Several design considerations and the limitations faced during the process of the project development and implementation are given. Arduino was used as the coding system for the Arduino UNO board while stainless steel 305 and aluminium was used as the main frame in fabricating the ASRS machine. Lastly, a final working prototype of a fully-developed ASRS machine with dimensions of: 80cm by 73cm by 94cm (length by width by height) is presented.

Keywords: Small scale, material handling, ASRS, FMS, prototype, pick and place machine, Arduino UNO, stainless steel 304, aluminium.


How to Cite

Iqbal, Saif Ullah, C. B. Yeo, and Umar Nirmal. 2020. “Development of a Small Scale Material Handling Machine for Automated Storage and Retrieval System (ASRS)”. Current Journal of Applied Science and Technology 39 (45):84-105. https://doi.org/10.9734/cjast/2020/v39i4531161.

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