TY - JOUR
T1 - System Reliability Analysis for a Stochastic Liner Container Shipping Service with Stochastic Terminals
AU - Nguyen, Thi Phuong
AU - Liao, Ya Ting
AU - Lin, Yi Kuei
AU - Chang, Ping Chen
N1 - Publisher Copyright:
© 2022 World Scientific Publishing Company.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - liner container shipping
KW - network reliability
KW - quay crane
KW - Stochastic liner container shipping network
UR - http://www.scopus.com/inward/record.url?scp=85144545368&partnerID=8YFLogxK
U2 - 10.1142/S021853932250019X
DO - 10.1142/S021853932250019X
M3 - Article
AN - SCOPUS:85144545368
SN - 0218-5393
JO - International Journal of Reliability, Quality and Safety Engineering
JF - International Journal of Reliability, Quality and Safety Engineering
M1 - 2250019
ER -