COMPARISON OF AHP AND FAHP FOR SELECTING YARD GANTRY CRANES IN MARINE CONTAINER TERMINALS
COMPARISON OF AHP AND FAHP FOR SELECTING YARD GANTRY CRANES IN MARINE CONTAINER TERMINALS
复制标题
海运集装箱码头堆场门式起重机选型的AHP与FAHP比较
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Sayareh Jafar
中科院分区：
文献类型：
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作者：
N. A. Saeed;Kiani Moghadam Mansoor;Moazen Jahromi Ali Reza;Sayareh Jafar
集装箱船或运输卡车在海运集装箱码头装卸货物的时间是一种真实的成本情景，它不仅影响港口的畅通运营，而且影响集装箱贸易的整体成本。航运公司和集装箱码头的经营者必须认识到这一问题的重要性，以及在装卸港口处理船舶和卡车长龙的相关成本。本文介绍了经典层次分析法(AHP)和模糊层次分析法(FAHP)的概念，以帮助决策者对在其集装箱码头实施昂贵的装卸设施做出判断。本研究的主要目的是提供一种决策工具，并引入多属性决策技术(MADM)的概念，通过使用和比较AHP和FAHP两种方法来解决跨座车(SC)、橡胶轮胎门式起重机(RTGs)和轨道式龙门起重机(RMG)三种方案中最有效的集装箱堆场门式起重机的选择问题，并将定性和定量属性结合起来。本研究中的AHP和FAHP分析都表明，RMG、RTG和SC系统分别是最好的运行替代方案。
The time that containerships or transportation trucks spend in marine container terminals for loading and unloading their cargo is a real cost scenario which affects, not only the smooth operation of ports, but also affect the overall cost of container trade. The operators of shipping lines and container terminals are required to realize the importance of this issue and the costs associated with dealing long queues of ships and trucks at loading or discharging ports. This paper introduces the concept of the classical Analytical Hierarchy Process (AHP) together with the Fuzzy AHP (FAHP) to help the decision makers in their judgments towards implementing costly loading and discharging facilities at their container terminals. The main objective of this study is to provide a decision-making tool and also to introduce the concept of the Multiple Attribute Decision-Making (MADM) technique by using and comparing both of the AHP and FAHP techniques for solving the problem of selecting the most efficient container yard gantry crane amongst three alternatives including Straddle Carriers (SCs), Rubber Tyred Gantry Cranes (RTGs), and Rail Mounted Gantry Cranes (RMGs) by incorporating the quantitative and the qualitative determining attributes into the problem. Both of the AHP and FAHP analyses in this study have shown that RMG, RTG, and SC systems are the best operational alternatives, respectively.