Toward a smart port congestion optimizing model

2020 ◽  
Author(s):  
Kamal Lakhmas ◽  
Pr. Abdelfettah Sedqui
Keyword(s):  
Port Congestion ◽  
Optimizing Model ◽  
Smart Port

scholarly journals Using the AIS Data to enhance smart port congestion optimizing model Subtitle as needed (paper subtitle)

2021 ◽  
Vol 12 (9) ◽  
pp. 1592-1599
Author(s):  
Kamal Lakhmas, Et. al.
Keyword(s):  
Simulation Model ◽  
Service Planning ◽  
Smart Technology ◽  
Planning Service ◽  
Operational Process ◽  
Port Congestion ◽  
Optimizing Model ◽  
Fierce Competition ◽  
Work Done ◽  
Smart Port

Nowadays, ports are in need to maximize their incomes, and this based on the fierce competition. For this reason, all ports stakeholders should be involved to contribute in the design and the development of a policy of scheduling and priority.This project owned by the Vessel Call Service Planning Service in the port of Tanger Med as the "Tanger Med Port Authority", and it output was to report the summarized the work done and the methods behind it.The main goal is to develop a simulator model that includes all kind of operations and the operational process by choosing the appropriate KPIs that are fully reflecting the congestion transferred by port vesselsFirst, it aims to define the operating assumptions and the fundamental concepts on which our simulation model will be based and to present the data that were used for the implementation of the simulation as well as the origin of these data.Secondly, it aims to validate and calibrate the model by presenting some improvements that could be made to the simulator in order to make it more precise and more representative and to ensure automation of the processing of inputs and outputs. While towards the end we conclude with the presentation of congestion situations, the results obtained and their use in decision making.AIS data is another factor has been added to help in getting best results, this helped in vessels planification in/out predictive process while automating the use of our simulator with the AIS Data receipt from SatelliteThis part of project is in to give the smart aspect to our simulator results by using smart technology.

“Analytical Techniques for Development Planning” (A Review Of Tims' Multisector Model For Pakistan'S Third Plan (1965-70))

1968 ◽  
Vol 8 (2) ◽  
pp. 240-263
Author(s):  
Azizur Rahman Khan
Keyword(s):  
Analytical Techniques ◽  
Development Planning ◽  
General Idea ◽  
Relative Prices ◽  
Scarce Resources ◽  
Sectoral Output ◽  
Consistency Model ◽  
Present Decade ◽  
Optimizing Model ◽  
Multisector Model

In the present decade there has been a great proliferation of multisectoral models for planning. Part of the incentive has certainly been the potentiality of their application in formulating the actual plans. By now there have been so many different types of multisectoral models that it is useful to attempt some kind of classification according as whether or not they embody certain well-known features. The advantage of such a classification is that one gets a general idea about the structure of the model simply by knowing where it belongs in the list of classification. One broad principle of classification is based on whether the model simply provides a consistent plan or whether it also satisfies some criteria of optimality. A multisectoral consistency model provides an allocation of the scarce resources (e.g., investment and foreign exchange) in such a way that the sectoral output levels are consistent with some given consumption or income target, consistency in this context meaning that the supply of each sector's output is matched by demand generated by intersectoral and final use at base-year relative prices. To the extent that the targets are flexible, there may be many such feasible plans. An optimizing model finds the "best" possible allocation of resources among sectors, the "best" being understood in the sense of maximiz¬ing > a given preference function subject to the constraints that ensure that the plan is also feasible.

scholarly journals System dynamics analysis for the governance measures against container port congestion

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Bowei Xu ◽  
Junjun Li ◽  
Xiaoyan Liu ◽  
Yongsheng Yang
Keyword(s):  
System Dynamics ◽  
Dynamics Analysis ◽  
Container Port ◽  
Port Congestion

Port congestion and the economics of LPG seaborne transportation

2021 ◽  
pp. 1-17
Author(s):  
Xiwen Bai ◽  
Haiying Jia ◽  
Mingqi Xu
Keyword(s):  
Port Congestion

Optimizing model predictive control of the chromatographic multi-column solvent gradient purification (MCSGP) process

2010 ◽  
Vol 20 (5) ◽  
pp. 618-629 ◽  
Author(s):  
Cristian Grossmann ◽  
Guido Ströhlein ◽  
Manfred Morari ◽  
Massimo Morbidelli
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Optimizing Model

Derivative trade optimizing model utilizing GP based on behavioral finance theory

2013 ◽  
Vol 96 (4) ◽  
pp. 15-28
Author(s):  
Koki Matsumura ◽  
Masaru Kawamoto
Keyword(s):  
Behavioral Finance ◽  
Optimizing Model ◽  
Finance Theory

An optimizing model for solving outsourcing supplier selecting problem based on particle swarm algorithm

2018 ◽  
Vol 35 (8) ◽  
pp. 526-534 ◽  
Author(s):  
Yibing Li ◽  
Kang Ding ◽  
Lei Wang ◽  
Wenkai Zheng ◽  
Zhao Peng ◽  
...  
Keyword(s):  
Particle Swarm ◽  
Particle Swarm Algorithm ◽  
Swarm Algorithm ◽  
Optimizing Model
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