Showing 3 results for Container Terminals
Mohammad Haghighi, Tahmores Hassangholi Pour, Homayun Yousefi,
Volume 1, Issue 0 (6-2013)
Abstract
In this paper, we are going to investigate the growth of the Iranian maritime transport with a focus mainly on the North - South transit Corridor, review of dry ports in order to support the Iranian container terminals at the south ports in order to increase the volume of container storages at the terminals. For the purpose of assessing the outcome of port operational management, the Balanced Scorecard System is recommended for development of the Iranian South Ports and further consideration. Balanced Scorecard system is known as the most effective tool that successfully communicates strategic goals of the company with its operational management. Balanced Scorecard visualizes company strategy and links it to operational level. The main part of this paper is dedicated to evaluate the role of container transit from the North - South transport corridor with a focus on the Iran North South transport corridor in order to improve Maritime Transport of Iran and increase the Iranian transit market share. Next part of this paper will be designated to consider the Iranian Southern Container Terminals at Khoramshahr, Imam Khomani, Busher, Bandar Abbas and Chabahar port which have suitable strategic position as transit base in the region.
Hassan Rashidi,
Volume 11, Issue 0 (3-2019)
Abstract
The Minimum Cost Flow (MCF) problem is a well-known problem in the area of network optimisation. To tackle this problem, Network Simplex Algorithm (NSA) is the fastest solution method. NSA has three extensions, namely Network Simplex plus Algorithm (NSA+), Dynamic Network Simplex Algorithm (DNSA) and Dynamic Network Simplex plus Algorithm (DNSA+). The objectives of the research reported in this paper are to simulate and investigate the advantages and disadvantages of NSA compared with those of the three extensions in practical situations. To perform the evaluation, an application of these algorithms to scheduling problem of automated guided vehicles in container terminal is used. In the experiments, the number of iterations, CPU-time required to solve problems, overheads and complexity are considered.
Sadegh Sharifi, Seyed Farzad Hosseini, Mohammad Kananizadeh, Hadi Gholami,
Volume 17, Issue 0 (2-2023)
Abstract
Over the past two decades, maritime transportation and container traffic worldwide has experienced rapid and continuous growth. With the increase in maritime transportation volume, the issue of greenhouse gas (GHG) emission has become one of the new concerns for port managers. Port managers and government agencies for sustainable development of maritime transportation considered "green ports" to balance between environmental impacts and economic interests. Therefore, this study aims to integrate the Berth Allocation and Quay Crane Assignment Problem (BACAP) with speed optimization and vessels emission considerations. Rajaee port, the most important port in Iran, was selected as the case study. A mathematical model is developed based on the main characteristics of this port and is solved by GAMS IDE/CPLEX software. Given the NP-hard complexity of the BACAP, exact solution approaches need huge time, even for small and medium problems. Hence, an adapted Non-Dominated Sorting Genetic Algorithm-II (NSGA- II) and a Multi-Objective Simulated Annealing (MOSA) algorithm are adopted to deal with the complexity of the proposed model. Sensitivity analysis is used to assess the applicability of the proposed model and evaluate the efficiency of the solution algorithms.
