OPTIMIZATION MODEL DEVELOPMENT OF THE INTEGRATION OF INTERNAL TRUCK AND YARD CRANE IN THE CONTAINER LOAD-UNLOAD OPERATION SYSTEM

• Main Author: Noija, Ezechiella
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/43863
• Institution: Institut Teknologi Bandung

The growth of global trade continues to increase every year, and this can affect the use of containers as a mode of imported goods shipping. Container terminals as the center of container loading and unloading operations have not been able to anticipate the increased demand for the containers so that the terminal productivity is low. The things that can influence it can be divided into two parts, namely from the operational and administrative side. From the operational side, good and efficient container loading and unloading schedule are needed. Scheduling container loading and unloading operations are considered important because it will greatly affect the productivity of a port. In its implementation, the scheduling of container loading and unloading operations must be able to provide the minimum time of operation and loading and unloading of containers. Based on the problems that have been presented previously, in this study a container loading and unloading operation scheduling model was developed based on the development of the transportation model. The model developed has integrated internal truck and yard crane scheduling problems by considering time windows. The problem is then modeled in a mixed-integer linear programming (MILP) model which aims to minimize the total costs and operating times of container loading and unloading. Furthermore, the scheduling model is solved by using the metaheuristic method due to the very long computational time of analytical methods. In this method, there are two stages of forming a solution. The first is to use a sequential insertion (SI) algorithm to obtain an initial feasible solution. Furthermore, the quality of the initial solution will be improved by using the simulated annealing (SA) algorithm to obtain the best scheduling solution. In the realization, the developed model was applied at PT. IPC Container Terminal. The study was carried out with the planning horizon for an import-export ship with 462 container boxes. The computational results carried out show that the algorithm developed successfully provides solutions to real system problems. The solution of this research can produce loading and unloading operating time savings of 7,54% from the existing operating time. Also, the total costs generated amounted to Rp 3.162.167.000,- with savings of 6,05% of the total existing costs.