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Analysis on Manufacturing Automated Guided Vehicle for MSME Projects and Its Fabrication

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Computational and Experimental Methods in Mechanical Engineering

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 239))

Abstract

Automated Guided Vehicle (AGV) is the material handling equipment that is utilized broadly in a maximum manufacturing company nowadays as it gives more flexibility to the system. The fundamental perception of AGV includes driverless and battery-powered vehicles with programming abilities for path selection and locating. They are equipped to navigate a flexible guide-path network, which might be simply changed and extended. This project may be concentrating on model, unloading and loading mechanism for AGV have been required to define specific criteria, which is automatic operated, lightweight and capable of transporting acrylic. This unloading and loading system worked utilizing ball screw as a development system and suction cup with a vacuum pump as adhering instrument. The outline and fundamental material to manufacture this AGV model would utilize aluminum to decrease the AGV weight. The AGV application in a real-world application is supported human and decreasing price in repetitive movement transportation actions. This manuscript suggests a survey on the control and design of AGV frameworks. We locate many key-related problems incorporating guide-path design, vehicle scheduling, assessing the number of vehicles, battery management, conflict determination, idle-vehicle positioning, and vehicle routing. Furthermore, we suggest a decision system for the design and execution of AGV frameworks, and propose few fruitful study directions. It will be designed for an importantly less price and exorbitant efficiency. The expenditure of the overall build is Rs. 90,000/- which is cost worthy.

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Correspondence to Anas Islam .

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Chaturvedi, R., Islam, A., Sharma, A. (2022). Analysis on Manufacturing Automated Guided Vehicle for MSME Projects and Its Fabrication. In: Rao, V.V., Kumaraswamy, A., Kalra, S., Saxena, A. (eds) Computational and Experimental Methods in Mechanical Engineering. Smart Innovation, Systems and Technologies, vol 239. Springer, Singapore. https://doi.org/10.1007/978-981-16-2857-3_35

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  • DOI: https://doi.org/10.1007/978-981-16-2857-3_35

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-2856-6

  • Online ISBN: 978-981-16-2857-3

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