Analysis of Critical Success Factors for the application of AGVs in the Indian Industry

Aavriti Arora; Manas Choudhary; Shourya Sahdev; Ashok Kumar Madan

doi:https://doi.org/10.51976/ijari.922114

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Analysis of Critical Success Factors for the application of AGVs in the Indian Industry

Aavriti Arora, Manas Choudhary, Shourya Sahdev, Ashok Kumar Madan

Vol 9 , Issue 2 , April - June 2021 | Pages: 90-96 | Research Paper

https://doi.org/10.51976/ijari.922114

Received: January 05, 2021 | Revised: April 28, 2021 | Accepted: May 05, 2021 | Published Online: June 15, 2021

Author Details ( * ) denotes Corresponding author

1. * Aavriti Arora, Department of Mechanical Engineering, Delhi Technological University, Delhi, India (aavritiarora55@gmail.com)

2. Manas Choudhary, Department of Mechanical Engineering, Delhi Technological University, Delhi, India

3. Shourya Sahdev, Department of Mechanical Engineering, Delhi Technological University, Delhi, India

4. Ashok Kumar Madan, Department of Mechanical Engineering, Delhi Technological University, Delhi, India

The logistics and e-commerce industry is undergoing a massive shift towards automation and intelligent systems. E-Commerce and logistics businesses are actively deploying Automated Guided Vehicles (AGVS) in warehouses to improve efficiency and save time. Increasing technological advancements have enabled AGVs to become more versatile in their applications. While AGVs have become more adept at their function, market acceptance of AGVs depends on various critical success factors that play an essential role in their widespread adoption. In the present research work, various essential success factors have been determined through research and interaction with experts and academicians. Subsequently, Fuzzy TOPSIS is used to rank the critical success factors (CSFs) based on their relative significance. The results and findings would help design and develop strategies that would enhance the presence of AGVs on shop floors in various industries.

Keywords

Automated guided vehicles; Flexible manufacturing systems; Fuzzy TOPSIS; Industry 4.0; Multi criteria decision making

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