Published on: August 2026
DATA-DRIVEN ANALYSIS OF DELIVERY PERFORMANCE AND DELAY FACTORS AT NGL LOGISTICS
Dikshit C.
Dr. P. Jyothi
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Abstract
The findings show that 72% of shipments were delivered on time while 28% experienced delays. International shipments, which constitute 77.3% of total volume, accounted for a disproportionate 82% of all delays, with customs clearance (39.3%) and documentation errors (25.0%) identified as the leading causes. Despite this, the chi-square test (χ² = 1.15, df = 1, p = 0.28) indicates no statistically significant association between shipment type and delivery delay, suggesting that operational factors — rather than shipment category alone — drive delay outcomes.
The study recommends strengthening documentation and compliance procedures, improving coordination with third-party courier partners, and adopting data-driven tracking tools to enhance delivery reliability and customer satisfaction.
How to Cite this Paper
C., D. (2026). Data-Driven Analysis of Delivery Performance and Delay Factors at NGL Logistics. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(8), 1-9. https://doi.org/10.55041/ijcope.v2i8.097
C., Dikshit. "Data-Driven Analysis of Delivery Performance and Delay Factors at NGL Logistics." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 8, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijcope.v2i8.097.
C., Dikshit. "Data-Driven Analysis of Delivery Performance and Delay Factors at NGL Logistics." International Journal of Creative and Open Research in Engineering and Management 02, no. 8 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijcope.v2i8.097.
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- •Peer Review Type: Double-Blind Peer Review
- •Published on: Aug 11 2026
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