TY - GEN
T1 - System reliability analysis for a stochastic liner container shipping service with stochastic container terminals
AU - Hsu, Chi Ting
AU - Liao, Ya Ting
AU - Huang, Cheng Hao
AU - Chang, Ping Chen
AU - Lin, Yi Kuei
N1 - Publisher Copyright:
© 2022 International Society of Science and Applied Technologies
PY - 2022
Y1 - 2022
N2 - The liner shipping company could have an advantage over its competitors while its liner container shipping system (LCSS) can successfully transport the requested demand. In reality, the unstable sea state, terrible weather, sailor's negligence, and the condition of vessels would affect the number of slots to place the container when shipping on the different legs. Thus, the number of slots on the vessel for placing containers should be regarded as stochastic. When the vessel berths at the container terminal, the quay cranes are the main facility to process containers, due to the quay cranes that other competitors could be reserved, the number of available quay cranes should be also regarded as stochastic. This study proposes an algorithm to analyze the network reliability of an LCSS by constructing a stochastic liner container shipping network (SLCSN) model. The 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 - The liner shipping company could have an advantage over its competitors while its liner container shipping system (LCSS) can successfully transport the requested demand. In reality, the unstable sea state, terrible weather, sailor's negligence, and the condition of vessels would affect the number of slots to place the container when shipping on the different legs. Thus, the number of slots on the vessel for placing containers should be regarded as stochastic. When the vessel berths at the container terminal, the quay cranes are the main facility to process containers, due to the quay cranes that other competitors could be reserved, the number of available quay cranes should be also regarded as stochastic. This study proposes an algorithm to analyze the network reliability of an LCSS by constructing a stochastic liner container shipping network (SLCSN) model. The 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=85138251439&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85138251439
T3 - Conference Proceedings - 27th ISSAT International Conference on Reliability and Quality in Design
SP - 171
EP - 176
BT - Conference Proceedings - 27th ISSAT International Conference on Reliability and Quality in Design
A2 - Pham, Hoang
PB - International Society of Science and Applied Technologies
T2 - 27th ISSAT International Conference on Reliability and Quality in Design
Y2 - 4 August 2022 through 6 August 2022
ER -