# Predictive Analysis for Optimizing Port Operations
## 3 Case Study and Methodology  
The Brazil case study data is from [PERSON] et al. [5; 25]. Brazil's marine logistics and port operations are crucial components of its economy due to the country's extensive coastline and reliance on maritime transport for international trade. Brazil boasts one of the world's most extensive coastlines, stretching over 7400 km, with numerous ports facilitating the import and export of goods. The country's ports play a pivotal role in connecting Brazil to global markets, serving as crucial gateways for international trade [19; 26]. However, port logistics in Brazil are complex due to inflexible regulations and the need for extensive information, impacting delivery times and costs [27; 28]. Overall, the efficient functioning of Brazil's marine logistics and port operations is essential for the country's economic prosperity, trade competitiveness, and integration into the global economy [29; 30]. It represents a critical component of Brazil's infrastructure and contributes significantly to its overall development. The authors have translated the data from Portuguese to English. The data encompasses a wide array of characteristics related to maritime cargo transportation and port operations from a period of 11/2017-12/2018. They are categorized into four main groups: Cargo characteristics, Geographic characteristics, Operation characteristics, and Stay (Total) time characteristics. Starting with Cargo characteristics, the dataset includes details such as the type of cargo (ST Nature Cargo), the quantity of cargo moved in Twenty-foot Equivalent Units (TEUs), the net weight of containerized cargo (VL Containerized Load Weight), and the overall weight of transported cargo in tons (Moved Value). These variables provide essential insights into the nature and volume of cargo being transported, which are crucial for understanding the logistical demands of port operations. Moving on to Geographic characteristics, the dataset encompasses information about the source and destination of the cargo, the classification of inland transportation routes, the specific mooring berth utilized, the name of the mooring port and port complex, the city and province where the port is located, and the geographical region (such as Southeast, Northeast, North, or South). These variables offer geographic context and detail the locations and routes involved in the transportation process, which can impact logistical planning and operational decision-making. The Operation characteristics section includes variables that detail various aspects of the cargo operations themselves. This includes the classification of cargo operations, the status of containers (whether they are full, empty, or carrying loose cargo), indicators for cabotage and long course operations, the sense of the operation (whether it is disembarked or embarked), the type of port authority (public or private), the classification of mooring navigation, and the nationality of the shipowner (whether Brazilian or foreign). These variables provide insights into the operational dynamics and regulatory aspects of cargo transportation. Finally, the Stay (Total) time characteristics section includes variables related to the duration of a vessel's stay in port. This encompasses details such as the arrival date and hour of the ship, the mooring date and hour, the unblocking date and hour, the start date, end date and hours of operations, the month of mooring, and various time durations (T1--Wait time for the moat, T2--Wait time for start of operation, T3--Operation Time, T4--Wait time for unberthing, T2+T3+T4--Mooring time, and T1+T2+T3+T4--Total Time) that reflect different aspects of the vessel's stay at port. These variables are critical for understanding the temporal aspects of port operations, including the time spent waiting, in operation, and overall stay duration. Delay Time is defined as Total Time-Operation Time (T1+T2+T4). The Total Time (stay time) distribution can be seen in Figure 1a, and the class is defined similarly to [5].