Integrated quay crane - shuttle vehicle scheduling problem capacitated by apron buffer

被引:1
作者
Yin, Yu-Qi [1 ]
Ge, Ying-En [2 ]
Wen, Xin [1 ]
Zhong, Meisu [3 ]
机构
[1] Shanghai Maritime Univ, Sch Econ & Management, Shanghai, Peoples R China
[2] Changan Univ, Coll Transportat Engn, Xian, Shaanxi, Peoples R China
[3] Shanghai Maritime Univ, Coll Transport & Commun, Shanghai, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
cranes; conveyors & material handling; management; mathematical modelling; CONTAINER TERMINALS; DISPATCHING METHOD; ALGORITHM; OPTIMIZATION; ASSIGNMENT; BERTH; CONSTRAINTS; TIME;
D O I
10.1680/jmaen.2021.007
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper investigates an integrated quay crane (QC) - shuttle vehicle (SV) scheduling problem (SP) with capacitated apron buffer, which is subject to practical constraints on non-zero travelling time, precedence relationships between container-handling jobs, QC non-interference, safety margin, blocking and apron buffer capacity. The objective is to minimise the makespan of vessel handling by simultaneous optimisation of bay-to-QC assignment, the sequences of bays handled by QCs, the sequences of jobs handled by QCs, job-to-SV assignment and the sequences of jobs handled by SVs. To achieve this, a mixed-integer linear programming model is first formulated to solve the SP. The relationships of decision variables and model constraints are then analysed to generate two sub-models: assignment based and sequence based. The former sub-model is developed from the proposed model by pre-determining the assignment of bay-to-QC and job-to-SV, and the latter is developed from the proposed model by pre-determining the sequences of jobs handled by each QC and each SV. Hybrid genetic algorithms with the two sub-models are proposed for numerical experiments. Practical implications of this investigation for apron buffer zone design are discussed.
引用
收藏
页码:94 / 111
页数:18
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