S survey also recommended investigation themes for the future, for example transport scheduling and car routing to coordinate container flows in between terminals, harnessing information technologies to facilitate information communication, collaborative resource sharing, green (sustainable and economical) logistics, and deployment models for real-world systems, container transportation is still noted as a important operation to get a single container terminal. Mishra et al. [7] developed a semiopen queueing network model for inter20-HETE Purity & Documentation terminal transportation, whereby the service occasions at the terminal handling stations depend on the amount of containers becoming loaded/unloaded. The proposed model described the uncertainties within the arrival occasions of containers, the handling instances of containers in the different terminals, the travel occasions of vehicles between terminals, and the interaction in between containers and automobiles. Gharehgozli et al. [8] compared a variety of transportation modes for interterminal transportation and applied a game theoretical approach to determine a coalition minimizing the infrastructure cost for collaborative operations among several trucking operators. Heilig et al. [9] studied the multiobjective trouble consisting of minimizing variable and fixed costs of autos at the same time as greenhouse gas (GHG) emissions for interterminal truck routing. Regardless of the reduction of empty trips ofAppl. Sci. 2021, 11,3 ofthe truck being identified to lower emissions, the authors highlighted the price implications arising in the conflict involving the amount of trucks and empty trips using the reduction within the number of trucks top to an increase of empty trips, and vice versa. Additional not too long ago, Jin and Kim [2] offered a time-space graphical model for collaborative operations amongst numerous trucking operations. Hu et al. [10] Dihydroactinidiolide site formulated the car routing and container transport difficulty in an interterminal transportation network (including the hinterland railway terminal) and optimized the container delivery primarily based on fixed fleet size. Hu et al. identified a tradeoff amongst the degree of interterminal transportation and the delay of rail transportation. Schepler et al. [11] formulated a coordination optimization model delivering the berthing positions and time windows to serve vessels, the rail tracks, and time windows to serve trains, at the same time as the time windows for truck appointment under the interterminal transportation atmosphere. The objective of your study is usually to reduce weighted turnaround time of vessels or trains. In the existing literature, it’s not tough to see that significantly consideration was paid towards the operations organizing and scheduling of container transportation among terminals inside a port. Having said that, when many scholars have supported the idea of interterminal cooperation, there’s no study that examines the capacity requirement measured with regards to workload on the resources over time-shifts. An evaluation of workload details around the sources (i.e., the availability and requirement) serves three purposes. Firstly, the provision of workload information on crucial sources is essential to confirm the feasibility from the operations schedule design. In unique, understanding on the adjustments in workload requirement over time-shifts boosts the effectiveness of your operations scheduling in achieving a desirable throughput volume at the terminal and port levels. Secondly, workload information supports long term organizing of capacity investment within a terminal though taking c.