Since this year, the impact of the pandemic has led to a surge of sea freight, which has caused a greater impact on domestic textile exporters. China's foreign trade is facing an increasingly container shortage, t...Since this year, the impact of the pandemic has led to a surge of sea freight, which has caused a greater impact on domestic textile exporters. China's foreign trade is facing an increasingly container shortage, the goods of the merchants are ready, but there is no shipping space.展开更多
A fuzzy optimization model of storage space allocation is proposed,and a rolling-planning method is derived. The model takes the uncertainty of departure time of import containers and arrival time of export containers...A fuzzy optimization model of storage space allocation is proposed,and a rolling-planning method is derived. The model takes the uncertainty of departure time of import containers and arrival time of export containers into account. For each planning horizon,the problem is decomposed into two levels: the first level minimizes the unbalanced workloads among blocks using hybrid intelligence algorithm;based on block workloads allocated in the above level,the second level minimizes the number of blocks to which the same group of import containers are split. Numerical results show that the model reduces workload imbalance,and speeds up the vessel loading and discharging process.展开更多
文摘Since this year, the impact of the pandemic has led to a surge of sea freight, which has caused a greater impact on domestic textile exporters. China's foreign trade is facing an increasingly container shortage, the goods of the merchants are ready, but there is no shipping space.
基金the Specialized Research Fund for the Doctoral Program of Higher Education (No. 200801411105)
文摘A fuzzy optimization model of storage space allocation is proposed,and a rolling-planning method is derived. The model takes the uncertainty of departure time of import containers and arrival time of export containers into account. For each planning horizon,the problem is decomposed into two levels: the first level minimizes the unbalanced workloads among blocks using hybrid intelligence algorithm;based on block workloads allocated in the above level,the second level minimizes the number of blocks to which the same group of import containers are split. Numerical results show that the model reduces workload imbalance,and speeds up the vessel loading and discharging process.
