Uncertainty handling in containerized logistics: Unitary Traceability Object approach The transit time of transportation and port clearance is considered as the second most salient risk in the global supply chain. This further affects the accurate estimation of shipment lead time due to the high variability. This research proposes a literature review to explore the behaviour of uncertainty influencing the global logistics chain. The classification of logistics roles (Shipper, Shipping line, Port: Fundamental and Port: Intermodal) presents how the uncertainty currently influences the decisions of each logistics role in strategical, tactical and operational problems. It is found that uncertainty occurred during the logistics operation influencing to all logistics roles and it is transferrable to the adjacent logistics role. The Unitary Traceability Object such as smart container has an opportunity to monitor the logistics operation and extract the behaviour of uncertainty during the operation in the field. This information further supports the planning decisions to respondtreat the uncertainty.

Optimization and Simulation on Tanker Vessels Scheduling for Efficient Terminal Operations Tanker shipping is a very important operation in maritime to transport liquid cargoes across the world. Optimizing tanker ship operations to improve operation efficiency and reduce extra waiting time in ports is a pivotal task. In this study, four optimizer algorithms are proposed and examined for scheduling tanker vessels optimally under three simulated scenarios. The optimization takes a quantified Key Performance Indicator (KPI), which is an indicator regarding to utilization of terminal, as our prime reference. The optimization and simulation results show that Max Timing First Optimizer (MaxTFO) outperforms the other three optimizers in the scenarios. The MaxTFO enhances terminal efficiency by 5.27% at most compared to Timing Sequential Optimizer (TSO), and Monte Carlo Optimizer (MCO) is more applicable and robust for limited and narrow window of future vessel and cargo information. The proposed optimizers could be further developed to handle more practical scenarios, such as multiplecargo and multipleterminal visits for coordinative optimization across multiple terminals in a port.