Abstract
In recent years, the storage of Baggage Handling System has exceeded its original expected because of increasing demand of flight. The system is going to improve its equipment so that part of system is closed. However, the engineering will reduce the capacity. Usually, the control factors in system is set by engineer’s experience. If the factors is set carefully, the storage could store more baggage for the problem. The paper used simulation to analyze control factors in an airport baggage handling system. First, we will discuss with what control factor is in system and how to improve the storage. Besides, we collect a lot of data to avoid the special condition make the deviation. According to the analysis, time window setting of each buffer is one of important control factor. It will affect the numbers of baggage with manual operation. Therefore, in order to minimize the numbers of baggage with manual operation we used simulation optimization to solve the storage problem by time window setting of each buffer. Because of lots of solutions and time consuming we combine with genetic algorithm and optimal computing budget allocation to search the good solution. Compare with original setting, the new setting can reduce almost 200 of baggage with manual operation. The input baggage profile is different from weeks. According to characteristic of each week, we provide different setting of time window setting of each buffer for policymaker to solve the problem.