学术文献库

An important passenger service area that has an impact on passenger satisfaction and airport revenue is the check-in counters. The check-in counter allocation problem consists of allocating adjacent counters to airlines at an airport and scheduling the counters through the day subject to operational constraints. It is a special form of the well-known RCPSP and an NP-hard problem. In addition, the continuous demand for the highest possible number of counters throughout the day by each airline makes it a daily challenge for airport operators. As the counters are a resource, this problem is equivalent to the adjacent resource scheduling problem, making the solutions for this problem extendable to any adjacent resource scheduling problem. Decisions made at the check-in counters affect the movement of passengers in the airport and bad decisions can result in chaos. Since the 1980s several authors have proposed a multitude of models with variations in the optimization criteria, modeling, airport requirements, and airport layouts. This article presents a state-of-art survey on the airport check-in counter allocation problem by focusing on relevant models and algorithms. Relevant literature is discussed based on the type of problem solved, objectives considered and methodology considered. The value of this research is to help airport operators in planning and allocation of check-in counters, increase airport revenue, improve passenger flow within existing constraints, and optimize utilization of the existing infrastructure.