An Integrated Operational Research and System Dynamics Approach for Planning Decisions in Container Terminals
• 2015
Publication Information
Authors
A. Karam; A. B. Eltawil and N.A. Harraz
Keywords
Operation research, system dynamics, container
terminal, quayside operational problems, strategic planning
decisions.
Journal
Not Available
Publisher
Not Available
Volume
Not Available
Issue
Not Available
Pages
Not Available
publication.type
International
Paper Link
Open Link
Supplementary Materials
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Abstract
This paper focuses on the operational and strategic
planning decisions related to the quayside of container terminals. We
introduce an integrated operational research (OR) and system
dynamics (SD) approach to solve the Berth Allocation Problem
(BAP) and the Quay Crane Assignment Problem (QCAP). A BAPQCAP optimization modeling approach which considers practical
aspects not studied before in the integration of BAP and QCAP is
discussed. A conceptual SD model is developed to determine the
long-term effect of optimization on the system behavior factors like
resource utilization, attractiveness to port, number of incoming
vessels to port and port profits. The framework can be used for
improving the operational efficiency of container terminals and
providing a strategic view after applying optimization.
planning decisions related to the quayside of container terminals. We
introduce an integrated operational research (OR) and system
dynamics (SD) approach to solve the Berth Allocation Problem
(BAP) and the Quay Crane Assignment Problem (QCAP). A BAPQCAP optimization modeling approach which considers practical
aspects not studied before in the integration of BAP and QCAP is
discussed. A conceptual SD model is developed to determine the
long-term effect of optimization on the system behavior factors like
resource utilization, attractiveness to port, number of incoming
vessels to port and port profits. The framework can be used for
improving the operational efficiency of container terminals and
providing a strategic view after applying optimization.
Staff Members - Benha University