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Paper ID:IJSREM61978

Comparative Analysis of Baggage Handling Systems: Data collection and Automation at Delhi and Singapore Airports

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM61978

Volume:

10 |

4 |

April 2026

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM61978

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

1DSR

1. Dr. S Ramasubramanian

DEPARTMENT OF AVAITION

VELS INSTITUTION

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2MAk

2. Mr. Arun kumar

DEPARTMENT OF AVAITION

VELS INSTITUTION

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3AB

3. Ajay B

DEPARTMENT OF AVAITION

VELS INSTITUTION

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4RP

4. Reshma P

DEPARTMENT OF AVAITION

VELS INSTITUTION

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5SP

5. Santhiya P

DEPARTMENT OF AVAITION

VELS INSTITUTION

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6YS

6. Yogeshwari S

DEPARTMENT OF AVAITION

VELS INSTITUTION

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Mentors

YS

Yogeshwari S

DEPARTMENT OF AVAITION

VELS INSTITUTION

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Abstract

Efficient baggage handling systems (BHS) are essential for modern airport operations, directly affecting passenger satisfaction and operational performance. This study presents a comparative analysis of BHS at Indira Gandhi International Airport (DEL) and Singapore Changi Airport (SIN), focusing on data collection technologies, automation infrastructure, and operational efficiency. A mixed-method approach is employed, combining quantitative performance data with qualitative system evaluation. The analysis of 2025 operational data indicates that DEL operates a semi-automated system utilizing barcode scanning (70%) and limited RFID integration (30%), whereas SIN employs a fully automated system incorporating RFID (50%), automation technologies (40%), and barcode systems (10%). Performance comparison shows that SIN achieves a lower baggage mishandling rate of 2.5 per 1000 passengers and faster delivery times of 15–20 minutes, while DEL records 5.1 mishandled bags per 1000 passengers with delivery times of 20–30 minutes. The results highlight that higher levels of automation, advanced tracking technologies, and integrated system design significantly improve operational efficiency. This study identifies key technological gaps in DEL’s system and proposes targeted recommendations to enhance performance and align with international standards.

KEYWORDS

Keywords - Baggage Handling System (BHS) RFID Technology Airport Automation Operational Efficiency Aviation Management Comparative Analysis

Cite This Article

1. Dr. S Ramasubramanian, 2. Mr. Arun kumar, 3. Ajay B, 4. Reshma P, 5. Santhiya P, 6. Yogeshwari S, Yogeshwari S, "Comparative Analysis of Baggage Handling Systems: Data collection and Automation at Delhi and Singapore Airports," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, pp. 1-6, April 2026. https://doi.org/10.55041/IJSREM61978

Full Article/Conclusion

This comparative study demonstrates that advanced data collection systems and full automation drive superior baggage handling performance. Singapore Changi Airport's 99.2% RFID accuracy and 100% automation coverage enable 51% lower mishandling rates and 25% faster delivery compared to Delhi Airport's semi-automated approach. The 17-point passenger satisfaction gap (89% vs. 72%) underscores customer experience implications of technology investment choices. Delhi's identified gaps—30% RFID coverage, 55% automation, barcode scanning inefficiencies—represent addressable deficiencies amenable to systematic improvement.   Implementation of the proposed USD 29.6M investment roadmap would enable Delhi Airport to achieve international standards within 24 months, reducing mishandling rates by 42% and improving delivery times by 8 minutes. These improvements directly translate to cost savings (reduced claims, improved airline partnerships) and revenue enhancement (higher passenger satisfaction, increased connecting traffic). The research confirms that systematic technology adoption, when informed by comparative benchmarking and evidence-based planning, enables developing-world airports to achieve first-world operational outcomes.    

References

[1]  International Air Transport Association (IATA), “Baggage IT Insights Report,” 2023. Available: https://www.iata.org. [2]  International Civil Aviation Organization (ICAO), “Annex 17: Security,” 11th ed., 2022. [3]   T. Kwanjitt and B. Karat, “RFID-based baggage management system,” J. Aviation Technol., 2024. [4]   H. Baskoro et al., “RFID implementation in airports: Case analysis,” J. Airport Oper., vol. 9, no. 1, pp. 12–26, 2021. [5]  M. Alagiah and B. Joseph, “Blockchain-based baggage tracking systems,” J. Logistics Innov., vol. 5, no. 2, pp. 78–95, 2020. [6] R. Baashirah and K. Elleithy, “Smart baggage systems using IoT,” IEEE Trans. Aero. Electron. Syst., vol. 15, no. 3, pp. 233–245, 2019. [7]  A. Mishra and D. Mishra, “RFID vs. barcode systems: Comparative review,” J. Supply Chain Manag., vol. 8, no. 4, pp. 112–128, 2012. [8]  P. DeVries, “RFID adoption challenges and cost-benefit analysis,” J. Technol. Assess., vol. 14, no. 2, pp. 156–171, 2008. [9]  Indira Gandhi International Airport, “Annual Report 2024-2025,” New Delhi, India, 2025. [10] Singapore Changi Airport Group, “Annual Report 2024-2025,” Singapore, 2025.  

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Publication Date

4/30/2026

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Review Rounds: 2

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