Towards a simulation-based decision support tool for container terminal layout design

2019 ◽  
Author(s):  
Mohamed Nezar Abourraja ◽  
Abdelaziz Benantar ◽  
Naoufal Rouky ◽  
Dalila Boudebous ◽  
Jaouad Boukachour ◽  
...  
Keyword(s):  
Decision Support ◽  
Design Problem ◽  
Container Terminal ◽  
Decision Support Tool ◽  
Layout Design ◽  
Container Transportation ◽  
Support Tool ◽  
Simulation Based ◽  
Intensive Use ◽  
Paris Region

Recently, seaports have paid much attention to container transportation by rail to evacuate huge container flow received by sea. In this line, Le Havre seaport, as the first French port in terms of containers’ traffic, plans to put into service a rail-road terminal near the Paris region. The main purpose of this new inland terminal is to restrict the intensive use of roads on the Le Havre-Paris corridor and achieve a better massification share of hinterland transportation. Containers are routed by train between Le Havre and this terminal and the last/first mile remains done by trucks. This paper aims to propose a decision support tool based on simulation for the layout design problem of this new terminal. This tool is tested using a set of scenarios and the obtained results are then discussed.

scholarly journals Simulation-Based Decision Support System to Improve Material Flow of a Textile Company

2021 ◽  
Vol 13 (5) ◽  
pp. 2947
Author(s):  
Vítor Silva ◽  
Luís Pinto Ferreira ◽  
Francisco J. G. Silva ◽  
Benny Tjahjono ◽  
Paulo Ávila
Keyword(s):  
Decision Support ◽  
Material Flow ◽  
Control Strategies ◽  
Decision Support Tool ◽  
Raw Material ◽  
Support Tool ◽  
Point Of Entry ◽  
Work Area ◽  
Simulation Based ◽  
Positive Results

To remain competitive, companies must continuously improve the processes at hand, be they administrative, production, or logistics. The objective of the study described in this paper was to develop a decision-making tool based on a simulation model to support the production of knits and damask fabrics. The tool was used to test different control strategies for material flow, from the raw material warehouse to the finished product warehouse, and thus can also be used to evaluate the impacts of these strategies on the productivity. The data upon which the decision support tool was built were collected from five sectors of the plant: the raw material warehouse, knit production, damask production, finishing work, and the finished product warehouse. The decision support tool met the objectives of the project, with all five strategies developed showing positive results. Knit and damask production rates increased by up to 8% and 44%, respectively, and a reduction of 75% was observed in the waiting time on the point of entry to the finishing work area, compared to the company’s existing system.

scholarly journals Simulation-based decision support tool for early stages of zero-energy building design

2012 ◽  
Vol 49 ◽  
pp. 2-15 ◽  
Author(s):  
Shady Attia ◽  
Elisabeth Gratia ◽  
André De Herde ◽  
Jan L.M. Hensen
Keyword(s):  
Decision Support ◽  
Decision Support Tool ◽  
Building Design ◽  
Zero Energy ◽  
Support Tool ◽  
Early Stages ◽  
Zero Energy Building ◽  
Simulation Based

scholarly journals A Simulation Approach to the Definition of the Subsystems Parameters in Small Container Terminals

2021 ◽  
Vol 9 (9) ◽  
pp. 1023
Author(s):  
Maja Stojaković ◽  
Elen Twrdy
Keyword(s):  
Decision Support ◽  
Container Terminal ◽  
Decision Support Tool ◽  
Difficult Problem ◽  
Container Terminals ◽  
Simulation Approach ◽  
Support Tool ◽  
Small Container ◽  
Definition Of ◽  
Insight Into

This article deals with the extremely difficult problem faced by a large number of smaller ports: how to enable small container terminals to simultaneously receive two ships of post-Panamax size, and at the same time provide effective transshipment operations on an individual terminal subsystem, which would enable the fast turnaround of the ship in port and at the same time provide the port the possibility to increase annual traffic. For this purpose, a simulation approach was used in a hypothetical small size container terminal. The performed simulations covered all the berth-yard-berth operations focusing on the correct allocation of transfer mechanization to ensure optimal results on the sea side of the terminal. The results obtained were used to define the key parameters on the basis of which a Decision Support Tool was created. The aim of the Decision Support Tool is to help port operators to identify their current problems quickly and effectively and to give them an insight into the measures that need to be implemented to accommodate two post-Panamax ships at the terminal at the same time.

scholarly journals Evaluation of a clinical decision support tool for matching cancer patients to clinical trials using simulation-based research

2021 ◽  
Author(s):  
Clarissa Judith Gardner ◽  
Jack Halligan ◽  
Gianluca Fontana ◽  
Roberto Fernandez Crespo ◽  
Matthew Stewart Prime ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Decision Support ◽  
Cancer Patients ◽  
Clinical Decision Support ◽  
Digital Health ◽  
Decision Support Tool ◽  
Clinical Decision ◽  
Support Tool ◽  
Simulation Based ◽  
The Difference

Simulation-based research (SBR) methods have been proposed as an alternative methodology for evaluating digital health solutions; however, applicability remains to be established. This study used SBR to evaluate a clinical decision support (CDS) tool used for matching cancer patients to clinical trials. 25 clinicians and research staff were recruited to match 10 synthetic patient cases to clinical trials using both the CDS tool and publicly available online trial databases. Participants were significantly more likely to report having sufficient time (p = 0.020) and to require less mental effort (p = 0.001) to complete trial matching with the CDS tool. Participants required less time for trial matching using the CDS tool, but the difference was not significant (p = 0.093). Most participants reported that they had sufficient guidance to participate in the simulations (96%). This study demonstrates the use of SBR methods is a feasible approach to evaluating digital health solutions.

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