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An airfreight forwarder's job bidding, resource planning, and revenue management.

如今許多商品都採用航空運輸。據預測,未來20年中世界航空貨運量將至少翻番。類似旅行中介,空運貨代是航空公司和貨主的中間人。貨代處理了超過80的國際航空貨運量,並以及時、安全、經濟的方式代表貨主管理整個運輸過程。 / 本論文包括關於空運貨代的三項研究:第一項研究(第一章)中,空運貨代的資源規劃和收入管理被結合起來。在資源規劃方面,我們考慮從航空公司、合作夥伴、以及分包商,分別購買多少艙位。在收入管理方面,我們考慮兩個細分市場,即固定客戶和臨時客戶,並決定接受或拒絶請求的準則。首先,我們考慮固定客戶先於臨時客戶到達的模式,並考察資源規劃決策和收入管理決策之間的關係。然後,我們考慮固定客戶和臨時客戶可以以任何順序到達的模式,同樣,我們考察資源規劃與收入管理決策的互動,並比較兩個到達模式的結果。 / 第二項研究(第二章)中,我們設計了一個針對貨物競價和物流規劃問題的啟發式算法。該算法可得出物流規劃環境中的最優競價策略。它包括兩個階段;第一階段遍歷出價決策,以及決定競拍窗口中的物流分配,第二階段決定之後的物流分配。這兩個階段的物流分配都由禁忌環境下的鄰域搜索決定。我們還提出了算法的改進策略。實驗表明算法是有效的。該算法由Leung et al.(2013)的論文“An Airfreight Forwarder'sShipment Bidding and Logistics Planning中描述的問題所啟發。事實上,它解決了該論文中的兩階段隨機規劃問題。雖然該算法僅在該論文的第4節, 但為了把它放在良好的背景下,經作者許可該論文被完整地被列入本章。 / 第三項研究(第三章)中,我們考慮貨代的貨物競拍和收入管理問題。貨物的網上競拍是許多物流平台的普遍做法。在競拍環境中,貨代的收入管理具有挑戰性,且必須基於組合的概念。此問題因物流規劃的考慮變得更加複雜。我們首先不考慮物流規劃,構建了一個基本模型,並得出最佳決策的解析結果。之後,我們擴展了基本模型以加入物流規劃決策。我們還基於一個例子探討了管理見解。 / Nowadays, a wide range of goods are shipped by air, especially those of high value-to-weight ratio. It is forecasted that world air cargo traffic will more than double over the next 20 years. Analogous to travel agents, airfreight forwarders are intermediaries between airlines and shippers, handling more than 80% of international airfreight volume. On behalf of shippers, forwarders manage the entire shipping process in a timely, safe, and cost-effective manner. / The thesis consists of three studies in airfreight forwarding: In the first study (Chapter One), we integrate an airfreight forwarder’s resource planning and revenue management. On resource planning, we consider the problem of determining the amount of cargo space to acquire from airlines, partners, and subcontracting agents. On revenue management, we consider two market segments, namely regular customers and adhoc customers, and determine the criterion based on which a present request is accepted or rejected. We first consider a customer arrival pattern where regular customers arrive before ad hoc customers. The relationship between resource planning decisions and revenue management decisions are examined. We then consider an arrival pattern where regular and ad hoc customers may arrive in any order. Similarly, the interactive effects of resource planning and revenue management decisions are investigated and the results of the two arrival patterns are compared. / In the second study (Chapter Two), we develop a heuristic algorithm for an airfreight forwarder’s shipment bidding and logistics planning problem. The algorithm generates an optimal bidding strategy in a logistics planning environment. It consists of two stages; the first stage enumerates possible bidding decisions utilizing a portfolio tree and addresses logistics assignments during the bidding window, while the second stage addresses subsequent logistics assignments. The logistics assignments at both stages are determined by neighborhood search within a Tabu environment. Strategies are also proposed to streamline the algorithm. Computational experiments show that it is an effective one. The algorithm is motivated by the problem described in the paper “An Airfreight Forwarder’s Shipment Bidding and Logistics Planning by Leung et al. (2013). In fact, it is used to solve a two-stage stochastic program formulated in the paper. Although the algorithm is only in Section 4 of the paper, to put it in a good context, the entire paper is included in this chapter with permissions from the authors. / In the third study (Chapter Three), we consider an airfreight forwarder’s shipment bidding and revenue management problem. Online bidding of shipments is a common practice at many web-based logistics platforms. In the bidding environment, the forwarder’s revenue management is quite challenging and must be based on a portfolio concept. The problem is further complicated by logistics planning considerations. In this study, we first formulate a basic model without considering logistics planning aspects. Analytical results are derived on the optimal shipment portfolio and the optimal bid prices. We then extend the basic model to incorporate logistics planning decisions. Managerial insights are explored by studying a numerical example. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / He, Wen. / Thesis (Ph.D.) Chinese University of Hong Kong, 2014. / Includes bibliographical references. / Abstracts also in Chinese.

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_1077636
Date January 2014
ContributorsHe, Wen (author.), Leung, Lawrence C. , 1954- (thesis advisor.), Chinese University of Hong Kong Graduate School. Division of Business Administration, (degree granting institution.)
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography, text
Formatelectronic resource, electronic resource, remote, 1 online resource (v, 85 leaves) : illustrations, computer, online resource
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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