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ABSTRACT
The modern urban landscape is constantly evolving, with rapid population growth and increasing congestion in urban areas posing significant challenges for efficient public transportation systems. The Kochi Metro, a ground-breaking initiative in the state of Kerala, India, represents a promising solution to alleviate urban mobility issues. This MBA project focuses on enhancing the efficiency and customer satisfaction of ticketing operations within Kochi Metro Rail Ltd through data-driven analysis and the application of queuing theory. The primary objectives are to predict future daily ticket sales, determine optimal hourly staffing requirements, and optimize counter allocation strategies for the metro system.
The study begins by utilizing historical daily ticket sales data to develop predictive models for future daily ticket sales. Leveraging these models and making certain assumptions, the project further extrapolates the daily data into hourly ticket sales projections. This step provides valuable insights into the expected passenger flow throughout the day.
Queuing theory, a mathematical approach to analyzing and optimizing waiting lines, is then employed to calculate the number of ticket counters required during both peak and non-peak hours. By considering factors such as customer arrival patterns, service times, and queue lengths, the study provides a comprehensive framework for optimizing staffing levels.
The results of this project offer actionable recommendations for Kochi Metro Rail Ltd to enhance ticketing operations.
Keyword: Kochi Metro, Ticketing Operations, Optimization, Urban Transportation, Efficiency, Ticket Sales Forecast, ARIMA, Queuing Theory
