Abstract:
Operations research techniques have helped optimize container terminal
operations over the past decades and have been a regular feature of maritime logistics
and maritime supply chain literature in addition to being in practice at container
terminals across the globe. The first phase of the project, a systematic review
systematically collates through Scopus and analyzes 1631 papers published in the
domain to find the main research clusters and understand future research directions.
Studies based on both quayside and landside planning are encapsulated for this
research. Five research clusters that discuss simulation, scheduling and automation,
quayside operations, integrated operations, and container transportation are identified
based on author keywords of the systematically derived paper pool. In addition to that,
the evolution of applying optimization techniques in container terminal operations
planning is discussed in this study alongside the suggested trajectory of the research
agenda under each cluster. The analysis finds that genetic algorithms, integer linear
programming and heuristics are the most widely used operations research techniques
in container terminal optimization. The review proposes the application of methods
such as neural network, fuzzy logic and deep learning models related to artificial
intelligence to widen our understanding of container terminal operations. The second
phase of the project is conducted to optimize ITT truck flows in container terminals
by following the research direction that is derived through the cluster, container
transportation in the systematic review. The proposed model is developed using fuzzy
logic in MATLAB software. The model can allocate ITT trucks based on the demand
from terminal yards and current truck arrival rates at gatehouses. More industry and
academia as well as inter-terminal collaborations are needed in future studies for
enhancing ITT operations and the overall operations in container terminals.
Citation:
Weerasinghe, B.C.A. (2022). Optimization applications in seaport container terminal operations and fuzzy logic-based inter terminal trucking [Master's theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.uom.lk/handle/123/22203