Abstract

Loading efficiency of freighters plays an indispensable role for the service performance of international air express companies. This study examined the priorities of factors to affect freighter loading efficiency at Taoyuan International airport (TPE) with an analytic hierarchy process (AHP). Unit load device (ULD) inventory control, load factor and load plan were ranked top 3 from 15 factors by practical experts. This study used the technique for order preference by similarity to ideal solution (TOPSIS) to evaluate 26 flights of MD11 freighters operated by an international air express company at TPE. The results revealed that the performance ranges between the best and worst flights were obvious.

Highlights

  • International air express provides door-to-door services over the world

  • Its concept is to find an alternative that is closest to the defined positive ideal solution (PIS) and furthest with the defined negative ideal solution (NIS)

  • The five criteria consist of Unit load device (ULD) uses, cargo load planning, aircraft weight and balance, resources utilisation, and operation performance

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Summary

Introduction

International air express provides door-to-door services over the world. Every sector of operation chains is running against time from the beginning of the pickup to the end of final delivery. There might be many factors to affect the loading efficiency of freighters at airports for international air express. This problem is referred to the aircraft weight and balance (W&B) These conditions are all set as loading constraints [9,10,11] based on a decision objective function, such as maximization of cargo transport profits [12], or maximization of shipment loads [13]. This ultimate goal can be evaluated with different dimensions of operation processes. The results of evaluated weights for factors framework were applied to compare the loading efficiency of selected MD11F flights using the technique for order preference by similarity to ideal solution (TOPSIS)

Methodologies
AHP with RPC
TOPSIS
Investigation
Analytic hierarchy
Sampling
Factor priorities
Case of MD11F
Indexes of TOPSIS
Data Collection
Evaluation results
Conclusion and Suggestion
Full Text
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