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Event-Based Allocation Of Airline Check-In Counters: A Simple Dynamic Optimization Method Supported By Empirical Data, Mahmut Parlar, Brian Rodrigues, Sharafali Moosa
Event-Based Allocation Of Airline Check-In Counters: A Simple Dynamic Optimization Method Supported By Empirical Data, Mahmut Parlar, Brian Rodrigues, Sharafali Moosa
Research Collection Lee Kong Chian School Of Business
This paper studies the real-life problem of dynamically optimizing the number of airport check-in counters to allocate for a single flight. The main feature of our work is the use of empirical data collected at the Singapore Changi Airport, which drives the dynamic optimization model of a parallel queues system. We propose an event-based dynamic programming model that simplifies considerably the optimization analysis even for large-scale problems with 700+ booked passengers. We investigate the following research questions: (a) For a particular flight, what is the optimal number of counters the system should open with and what is the corresponding optimal …
Consolidating Or Non-Consolidating Queues: A Game Theoretic Queuing Model With Holding Costs, Kwan Eng Wee, Ananth Iyer
Consolidating Or Non-Consolidating Queues: A Game Theoretic Queuing Model With Holding Costs, Kwan Eng Wee, Ananth Iyer
Research Collection Lee Kong Chian School Of Business
We consider a two-server queueing system in which the servers choose their service rate based on the demand and holding cost allocation scheme offered by the demand generating entity. We provide an optimal holding cost allocation scheme that leads to the maximum possible service rate for each of a pooled and a split system. Our results suggest that careful allocation of holding costs can create incentives that enable minimum turnaround times using a common queue.