System Reliability Analysis for a Stochastic Liner Container Shipping Service with Stochastic Terminals

IF 0.9 Q3 ENGINEERING, MULTIDISCIPLINARY International Journal of Reliability Quality and Safety Engineering Pub Date : 2022-12-19 DOI:10.1142/s021853932250019x
Thi-Phuong Nguyen, Ya-Ting Liao, Yi-Kuei Lin, P. Chang
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Abstract

In the container shipping industry, a company could have an advantage over its competitors while its liner container shipping system (LCSS) can successfully transport the requested demand. However, some uncertainties such as unstable sea state, terrible weather, sailor’s negligence, and the condition of vessels would affect the number of slots on the vessel to place containers when shipping on different legs. Thus, that number should be regarded as stochastic. At the container terminal, containers are loaded from and unloaded to the vessel ship by the quay cranes. The number of available quay cranes at each terminal is also stochastic because of the reservation of other competitors. Therefore, this study proposes an algorithm that constructs an LCSS as a stochastic liner container shipping network (SLCSN) model to analyze the network reliability. Network reliability is defined as the probability that all vessels in the SLCSN can satisfy the demands within the time threshold. For an executive of the liner container shipping company, the network reliability can be utilized as the performance indicator to make an appropriate managerial decision.
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随机码头下集装箱班轮运输系统可靠性分析
在集装箱航运业中,当一个公司的班轮集装箱运输系统(LCSS)能够成功地运输所要求的需求时,它可能比竞争对手具有优势。然而,一些不确定因素,如不稳定的海况、恶劣的天气、水手的疏忽、船舶的状况等,会影响不同航段运输时船舶上放置集装箱的槽位数量。因此,这个数字应该被认为是随机的。在集装箱码头,集装箱由码头起重机装卸到船舶上。由于其他竞争对手的保留,每个码头可用的码头起重机数量也是随机的。因此,本研究提出了一种算法,将LCSS构建为随机班轮集装箱运输网络(SLCSN)模型来分析网络可靠性。网络可靠性定义为SLCSN中所有船舶在时间阈值内满足需求的概率。对于班轮集装箱航运公司的管理者来说,网络可靠性可以作为一个绩效指标来做出合适的管理决策。
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来源期刊
CiteScore
1.70
自引率
25.00%
发文量
26
期刊介绍: IJRQSE is a refereed journal focusing on both the theoretical and practical aspects of reliability, quality, and safety in engineering. The journal is intended to cover a broad spectrum of issues in manufacturing, computing, software, aerospace, control, nuclear systems, power systems, communication systems, and electronics. Papers are sought in the theoretical domain as well as in such practical fields as industry and laboratory research. The journal is published quarterly, March, June, September and December. It is intended to bridge the gap between the theoretical experts and practitioners in the academic, scientific, government, and business communities.
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