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

Subject Areas : Production Systems

Aavriti Arora ^{1 *} , Manas Choudhary ² , Shourya Sahdev ³ , Ashok Kumar Madan ⁴

1 - Department of Mechanical Engineering, Delhi Technological University, New Delhi, India
2 - Department of Mechanical Engineering, Delhi Technological University, New Delhi, India
3 - Department of Mechanical Engineering, Delhi Technological University, New Delhi, India
4 - Department of Mechanical Engineering, Delhi Technological University, New Delhi, India

Received: 2025-02-23 Accepted : 2025-07-04 Published : 2025-07-03

Keywords: Automated Guided Vehicles, Flexible Manufacturing Systems, Fuzzy TOPSIS, Multi Criteria Decision Making,

Abstract :

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 in warehouses to improve efficiency and save time. Warehouse operations are usually labor-intensive and require large spaces; thus manufacturers increasingly demand automation systems for storing and retrieving goods with high levels of flexibility, high reconfigurability, and, possibly, low energy consumption Automated Guided vehicles are portable robots deployed in the industry to facilitate the transport of packages on the warehouse floor. Increasing technological advancements have enabled automated guided vehicles to become more versatile in their applications. While automated guided vehicles have become more adept at their function, their market acceptance depends on various critical success factors that play an important role in their widespread adoption. In the present research work, the authors aim to determine the relative importance of various critical success factors based on collected data. Fuzzy TOPSIS methodology was used to process the data and rank the critical success factors in order of c-factor value and conclusions were drawn.