近洋貨櫃航商艙位配置及空櫃調度之最適化研究

Optimization of Containership Slot Allocation and Empty Container Reposition for a Short-Sea Container Carrier

張嘉惠(Chia-Hui Chang)

指導教授 ： 馮正民

國立交通大學/管理學院/交通運輸研究所/博士(2009年)

https://doi.org/10.6842/NCTU.2009.00595

摘要

貨櫃航商主要經營海上定期航線，藉由運送貨物以賺取運費收入，其航線泊靠港口遍佈世界各地，在貨物承攬部份主要與各地之貨務運輸代理商合作，透過其承攬貨物。實務上，貨櫃航商通常重視“船舶滿載”，忽略貨物流向及運費收入管理，而貨務運輸代理商收入主要來自運費中之佣金，因此他們通常會爭取多裝載貨物以增加佣金收入，在市場繁榮時，各地之貨務運輸代理商常常會因艙位問題而引起衝突，最常發生情形為在某一航線上，先泊靠港口之代理商會超裝貨物在貨櫃船上，導致後續泊靠港口之代理商面臨船上無艙位可裝載之情況。在國際貿易中，貨物通常從出口導向國家運送至進口導向國家，此一貨物流向不平衡現象為全球性且無法避免，貨櫃航商因此面臨部份港口累積大量空櫃(積櫃港)，部份港口卻面臨缺乏空櫃以裝載客戶待運送之貨物(缺櫃口)，因此貨櫃航商須負擔大量之空櫃調度費用，在實務之空櫃調度，貨櫃航商通常安排從積櫃港一次調度大量的空櫃或將空櫃運送至較遠地區之缺櫃港，而這些空櫃將佔用貨櫃船上的艙位，其結果將造成貨櫃船上減少運送重櫃而賺取運費收入之機會；貨櫃航運業是一個競爭性的服務業，為了增加公司的競爭優勢，貨櫃航商須對其運費收入及支出費用進行謹慎管理與控制。

過去國內外有部份學者提出艙位配置及空櫃管理的相關研究，在艙位配置相關研究中缺乏以近洋航線多港口泊靠及納入空櫃調度成本之研究，在空櫃管理中缺乏以貨櫃航商經營之海上運輸網絡進行公司整體空櫃調度之研究；因此本研究以亞洲區間之貨櫃航商為研究標的，近洋航線主要特性為：航線航程較短、泊靠港口較多且每個港口裝載及卸載頻繁，並分為艙位配置及空櫃管理二部份加以探討。第一部份，本研究提議以收益管理之概念建立重櫃艙位配置計畫，並將空櫃調度之期望成本納入目標式，以反應貨物流向不平衡之成本，其模式透過線性規劃求得貨櫃航商在單一航線上之單一航次利潤最大化，其限制條件包含船舶艙位容量、船舶重量及各港口之貨櫃需求。本模式應用國內某航商在一近洋航線為案例進行應用與分析，其模式結果與實際航行裝載情形比較，本模式之結果不僅可獲得較佳收益，並可作為貨櫃航商在管理各地貨務運輸代理商之指導方針，以避免因艙位問題而引起貨物運輸代理商間之衝突。

第二部份，本研究提出將貨櫃航商經營之海上運輸網絡分為數個地理區域，空櫃配送則在單一地理區域內進行，此舉可避免實務上因長途運送空櫃而佔用貨櫃船上之艙位；在模式建構上分為上、下二層問題，上層問題先考量各個港口在某一段間內貨櫃移動情形，包括進口貨櫃、出口貨櫃、空櫃搬入及空櫃搬出等因素，以區分各港口之特性(積櫃港/缺櫃港)及數量(供應量/需求量)；下層問題則考量到以不同運送模式(自有艙位/租賃艙位/內陸拖運)之成本差異建構最佳空櫃配送計畫，其模式透過線性規劃之運輸問題求算總體空櫃運送成本最小，將積櫃港之空櫃運用至缺櫃港，本模式應用國內某航商整體貨櫃流向資料為案例進行應用與分析，模式結果可做為貨櫃管理部門在安排空櫃調度之參考，並建議將其空櫃安排分數個航次裝載至航線剩餘之艙位(空艙位)，並進行進一步之分析，可獲得各港口之空櫃調度所面臨之問題，短期可透過改變空櫃安全存量、租用艙位、額外派遣船泊或暫時改變其他航線航程來解決部份港口空櫃調度不易之情形，長期則可考量調整公司整體海上運輸網絡。

關鍵字

收益管理 ； 艙位配置 ； 空櫃配送 ； 貨櫃航商

並列摘要

Container carriers gain freight revenue by delivering containers from one port to another and depend on shipping agencies to provide cargo. Since a fully loaded carrier brings immediate revenue that is higher than that of a partially loaded carrier, cargo flow and freight revenue management are often ignored. To improve their own revenue, which is supplemented by commissions from ocean freight, shipping agencies typically compete for additional slots on containerships. In booming markets, arguments over slot allocation between shipping agencies occur frequently. These disputes, when coupled with the mismanagement of freight revenue on the part of containerships, often result in a loss of revenue for both shipping agencies and carriers. Container carriers tend to accumulate a large number of unnecessary empty containers at particular ports while other ports face a shortage of empty containers. In practice, carriers often reposition a considerable number of empty containers to others ports with shortage, during a single voyage. However, the operational expenses are substantial when an accumulation of this sort occurs. Empty containers also occupy slots on containerships with the result that carriers are unable to take aboard loaded containers yielding freight revenue. In order to increase their competitive edge, container carriers need to manage revenue and control expenditures.

Several studies have been conducted on slot allocation and empty container management. A few of these studies have sought to maximize profits on short-sea, multiple-port service routes by considering the cost of empty container repositioning. Little attention has been paid to the management of such repositioning within the sea transportation network. This study, which focuses on short-sea service intra-Asian routes, focuses on both aspects of repositioning. The main characteristics of intra-Asian service routes include: voyage distance is short, there are multiple-port calls, and loading and unloading is frequent at each port. These observations are factored into this study which is divided into two parts. The first part incorporates the concept of revenue management with expected cost of empty container repositioning, by offsetting cargo imbalance. Here an optimal model has been formulated via linear programming to maximize operational profit, subject to the constraints of vessel capacity, vessel deadweight, and container demand. A Taiwan container carrier has been used as a case study. The analytical results show that by implementing the proposed model, containerships can increase profits and shipping agencies might avoid friction in a booming market.
The second part of this study proposes to partition the sea transportation network into several geographical regions and distribute empty containers within a single region, in order to reduce the number of occupied slots over a long distance. There are two challenges to this proposal. The first challenge, which is termed the “upper-problem,” lies in identifying and estimating empty container stock for each port. The second challenge or “lower-problem” concerns incorporating modes of transportation into the model. The empty container reposition model that is deemed optimal has been formulated via linear programming with a view to overcoming the transportation problem and minimizing the total cost of transferences within a single region. Here again, the research uses data obtained from a Taiwan container carrier. When this data is applied for analysis, the results show that the allocation of empty containers can be optimized by repositioning them over the course of several voyages where they can occupy unsold slots. With regard to port characteristics, this study proposes the following strategies to solve empty container problems: charter slots, launching a containership for extra service, or introducing a temporary change in the service route. These are all short-term solutions. In the long-term, sea ports might need to restructure their sea transportation network.

並列關鍵字

Revenue Management ； Slot Allocation ； Empty Container Reposition ； Container Carrier

參考文獻

48. Yan, S., Tu, Y.P., Chang, K.C., 2005. Optimization of container ship stowage plans with variable demand. Transportation Planning Journal 34(3), 335~390.

31. Lu, H.A., 2003. Modeling ship’s routing and container positioning for transoceanic liner. Transportation Planning Journal 32(3), 423-446. (in Chinese)

39. Shyr, F.Y., Chen, C.M.H., Hwu, C.F., 2003. An evaluation of various strategic alliances among container carriers-a cooperative game approach. Transportation Planning Journal 32(3), 391-422. (in Chinese)

7. Chen, C.Y., Chiu, M.C., 2002. A network design model for the containership routing problem. Transportation Planning Journal 32(2), 267-298. (in Chinese)

20. Hsieh, S.H., Chang, F.R., 2001. Applications of the hub-and-spoke network model in routing liner ships. Transportation Planning Journal 30(4), 871-890. (in Chinese)