Global ports and maritime shipping networks are important carriers for global supply chain networks, but they are also the main sources of energy consumption and pollution. To limit ship emissions in ports and offshore areas, the International Maritime Organization, as well as some countries, has issued a series of policies. This paper highlights the importance and necessity of investigating emergent research problems in the fields of green port and maritime shipping network operations management. Extensive literature related to this topic has been reviewed and discussed in this paper. Moreover, a comprehensive research framework on green port and shipping operations management is proposed for future research opportunities. The framework mainly comprises four research areas related to emission control policies and emission grading policies. This paper may provide some new ideas to the academia and industry practitioners for improving the performance and efficiency of green port and maritime shipping operations management.

Purpose -Environmental issues have become an important concern in modern supply chain management. The structure of closed-loop supply chain (CLSC) networks, which considers both forward and reverse logistics, can greatly improve the utilization of materials and enhance the performance of the supply chain in coping with environmental impacts and cost control. Design/methodology/approach -A biobjective mixed-integer programming model is developed to achieve the balance between environmental impact control and operational cost reduction. Various factors regarding the capacity level and the environmental level of facilities are incorporated in this study. The scenario-based method and the Epsilon method are employed to solve the stochastic programming model under uncertain demand.Findings -The proposed stochastic mixed-integer programming (MIP) model is an effective way of formulating and solving the CLSC network design problem. The reliability and precision of the Epsilon method are verified based on the numerical experiments. Conversion efficiency calculation can achieve the trade-off between cost control and CO 2 emissions. Managers should pay more attention to activities about facility operation. These nodes might be the main factors of costs and environmental impacts in the CLSC network. Both costs and CO 2 emissions are influenced by return rate especially costs. Managers should be discreet in coping with cost control for CO 2 emissions barely affected by return rate. It is advisable to convert the double target into a single target by the idea of "Efficiency of CO 2 Emissions Control Reduction." It can provide managers with a way to double-target conversion. Originality/value -We proposed a biobjective optimization problem in the CLSC network considering environmental impact control and operational cost reduction. The scenario-based method and the Epsilon method are employed to solve the mixed-integer programming model under uncertain demand.

Enriched navigational information provided by an automatic identification system (AIS) could improve the estimation accuracy of trade patterns analysis by using different data sources. This paper estimates the global trade flow pattern of dry bulk cargo by commodity, namely iron ore, coal, grains, fertilisers, and iron and steel. We use AIS data and the information on commodities handled in ports, estimated by using a two-tiered Geohash geocoding. Estimation results are accurate at country level except for iron and steel. The results are used to quantify the impact of the previously identified variables on vessel size selection by regression analysis and a multinomial logit model. Finally, our model is used to forecast the future shipping demand by vessel type and commodity.

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