Dublin Core
Title
Optimizing the Berthing Space to Reduce Clearance Time during Importation, A Case of Tema Port - GHANA
Creator
David King Boison
Description
Due to the delays in the clearance time during importation, both maritime industry and academia are seeking for alternative strategies to address these concerns. This is because the port remains the heartbeat of every economy. The reduction of the time in handling vessels and cargoes can be achieved, if effective measures are put in place to reduce the cycle time of operational and documentary activities during importation. The study is motivated by the port expansion project at the Port of Tema which promises to triple the capacity of the port. The dissertation seeks to develop a stylized optimization model using Knapsack to maximize the number of vessels served at the port of Tema, develop and test a simulation model to simulate the current state of vessel operations in order to identify challenges at port of Tema and conduct scenario analysis simulation in order to maximize the number of vessels served to minimize the clearance time during importation. To achieve the objectives of the study, a stylized knapsack and simulation models are developed to optimize the utilization of berthing space while considering resource allocation, berth length, and other operational constraints. To test the effectiveness of the models, a 12 months’ vessel statistics is utilized to run the optimization and simulation models. The simulation model is utilized to further test effectiveness of the model through scenario analysis simulation. The Knapsack model reports of high utilization of 87% of berthing space. The simulation results, on the other hand, records a high berth occupancy rate. However, the number of vessels handled within the time horizon was averagely low with a corresponding high vessel service time (turnaround time). Furthermore, the scenario analysis simulation showed a comparatively high occupancy rate, a low vessel service time and a high berth space utilization.
Subject
Doctor of Philosophy (PhD) Business Administration
Date
March 2017