Flight delays (such as early or late arrivals and late departures) are a frequent occurrence in actual day to day airport operations and it is often not possible to assign such flights to their original gates. Flight delay information may also vary with time. As a consequence, the airport authority needs to reassign flights to different gates in real-time. The traditional manual flight reassignment method is neither efficient nor effective in cases with variable flight delay information, and the reassignment is frequently time constrained. Consequently, in this study the goal is to develop a gate reassignment framework, and a systematic computerized tool, for repeatedly handling gate reassignments given varied flight delay information. The results of a test case related to Taiwan international airport operations, show that the proposed framework performs well.

SUMMARYIt is often the case in actual airport operations that flight departure/arrival information will vary with time. In practice, flight departure/arrival times closer to the time when the airport authority starts to plan the reassignments tend to be more certain; those further away tend to be more stochastic. These two types of flights can be called deterministic flights and stochastic flights, respectively. A deterministic flight has a certain departure/arrival time; while a stochastic flight will have a variety of stochastic departure/arrival times. In this study the aim is to develop a gate reassignment model (GRM) designed to consider both deterministic and stochastic flight departure/arrival times. A 0-1 integer programming technique is applied to formulate the GRM. In practice gate reassignments need to be handled repeatedly, so to make this possible the GRM is applied to a dynamic gate reassignment framework (DGRF). The theoretical effectiveness of the GRM applied to the DGRF is evaluated by the development of a lower bound solution. Numerical tests, related to the operations of an international Taiwan airport, show that the proposed GRM and DGRF perform well.

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Under the environment of supply chain, enterprises not only put forward higher request to the product itself, but also focus more on the supplier selection criteria. In the early stage of the supply chain construction enterprises, we will find that there are many outstanding suppliers to choose from; facing a large number of suppliers, an effective way of supplier evaluation is very important. In this paper, the principal component analysis method is applied in supplier evaluation index, by extracting the principal components of the multi index comprehensive evaluation, and quantitatively provides guidance and reference for the selection of suppliers for the enterprises in the supply chain.