Airline Unit Load Device Dispatching in Planning and Real-Time Stages(II)

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Project title

Code/計畫編號

MOST108-2221-E019-005-MY2

Translated Name/計畫中文名

規劃與即時階段航空公司裝載設備調度之研究(II)

Project Coordinator/計畫主持人

Ching-Hui Tang

Funding Organization/主管機關

National Science and Technology Council

Department/Unit

Department of Transportation Science

Website

https://www.grb.gov.tw/search/planDetail?id=13324012

Year

2020

Start date/計畫起

01-08-2020

Expected Completion/計畫迄

31-07-2021

Bugetid/研究經費

827千元

ResearchField/研究領域

交通運輸

"本研究擬針對航空公司裝載設備（Unit Load Device, ULD）之規劃與即時階段調度問題進行探討。首先在預先每週之規劃階段，加入目前ULD運作中重要的SKYPOOLING共享平台。其中，過去研究大多基於求解結果為可達成的基礎上，忽略原規劃結果與真實結果可能產生之落差，因此本研究考量在SKYPOOLING平台配對之成功機率、預計數量與真實數量，幫助業者規劃一滿足達成率下每週ULD調度規劃。其次，在即時營運階段，針對實際營運時常面臨的行李與貨物隨機需求與班機的隨機延誤，幫助航空公司在此兩隨機因素干擾下，有效進行ULD即時動態調度。希望藉由規劃與即時兩階段的系統性分析，提供一整體性之ULD調度工具，提升整體ULD之調度與使用績效。本研究擬利用數學規劃方法結合統計學中機率分配概念，在規劃階段構建一SKYPOOLING之ULD調度模式，模式中利用統計學中之二項機率分配表達SKYPOOLING平台配對成功情形。在即時階段透過動態時空網路構建ULD即時調度模式。另外，本研究結合網路分解與基因尋優機制，發展一反覆迭代求解演算法。在即時階段問題，配合時間延續與隨機事件設計一動態求解架構，以進行ULD之動態調整。最後，擬以國內航空公司資料為例進行分析，並根據研究的結果，提出結論與建議。""In this research, we will deal with the dispatching problem for the airline unit load device (ULD) in both planning and real-time stages. We consider the SKYPOOLING platform which plays an important role in airline ULD dispatching operations in the weekly planning stage. In particular, most past studies in planning stage devoted to find an optimal solution based on that the obtained optimal solution is achievable in actual operations, neglecting the possible gap between the original plan and the actual outcome. Therefore, we will consider the success probability of ULD dispatching, the predetermined amount, and the real amount using the SKYPOOLING platform to plan the weekly ULD dispatching. In addition, we consider the stochastic passenger baggage and cargo demands and flight delays to help the carrier to dynamically adjust ULD dispatch in real-time stage. It is expected to provide a useful tool to efficiently plan the ULD dispatching by simultaneously considering the planning and real-time problems. We will use the mathematical programming method combined with the probability distribution in Statistics to develop a SKYPOOLING ULD dispatching model in the planning stage. The statistical binomial distribution is used to formulate success outcomes in the SKYPOOLING platform. In addition, we will use a dynamic time-space network to develop a ULD adjustment model in the real-time stage. We will apply the decomposition concept and the searching mechanism in Genetic Algorithm to develop an iterated solution algorithm. We will perform a case study using the real operating data from a Taiwan airline. Finally, conclusions and suggestions will be given."

Keyword(s)

裝載設備
SKYPOOLING
達成率
規劃階段
即時階段
動態調度
反覆迭代演算法
Unit load device
SKYPOOLING
Planning Stage
Real-time Stage
Dynamic Adjustment
Iterated Solution Algorithm

DSpace CRIS

Airline Unit Load Device Dispatching in Planning and Real-Time Stages(II)

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