scholarly journals Enhanced Navigation at Sea: an augmented reality-based tool for bridge operators

2018 ◽  
Author(s):  
M Martelli ◽  
M Figari ◽  
M di Summa ◽  
G P Viganò ◽  
M Sacco ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Situation Awareness ◽  
Environmental Parameters ◽  
Communication Architecture ◽  
Control Centre ◽  
Ship Control ◽  
And Control ◽  
Navigation Condition

This paper presents the design framework, in which a Decision Support System (DSS) tool has been developed to assist the bridge operator during a challenging navigation condition. The present project would be another step for using state of the art, IT devices and hardware, to increase safety at sea mainly focusing on both collision and grounding avoidance. In this paper, the modules to detect an obstacle and to calculate the evasive route are based on a customized simulation model: such a model is able to represent the dynamic behaviour of a ship, including hydrodynamics, propulsion, and control effects. The suggested route selected by the decision support system and some environmental parameters coupled with some of the ship parameters are visualized on a smart “virtual bridge” exploiting virtual reality techniques. A suitable graphical interface has been developed and installed, in order to enhance the situation awareness. The project also focuses on the communication architecture, which relies on a publish-subscribe paradigm and is responsible to forward ship control parameters both to the virtual bridge and towards an ashore control centre, either for supervising or for remote control. Overall, both the potentiality and the limits of the proposed system have been critically discussed.

Plant design and control in food service industry. A multi-disciplinary decision-support system

2018 ◽  
Vol 103 ◽  
pp. 72-85 ◽  
Author(s):  
Alessandro Tufano ◽  
Riccardo Accorsi ◽  
Federica Garbellini ◽  
Riccardo Manzini
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Service Industry ◽  
Food Service ◽  
Plant Design ◽  
And Control

Development of a Decision Support System in Ship-To-Ship Lightering

2016 ◽  
Vol 69 (5) ◽  
pp. 1154-1182 ◽  
Author(s):  
Dagfinn Husjord
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Work Environment ◽  
Support System ◽  
Situation Awareness ◽  
Interaction Design ◽  
Performance Test ◽  
Real Life ◽  
Ship Handling

This paper focusses on the development of a tool for decision-making, tailored for personnel involved in complex Ship-To-Ship (STS) operations, to enhance the efficiency and safety of these operations. A step-wise approach has been selected. The first step includes specification, development and testing of the tool in a simulated work environment using full-mission simulators. In the second step the findings from application of the tool in the simulated work environment will be used to develop a prototype which will be tested during real life STS operations. This paper describes work done in the first of these two steps. During four iterations, a Graphical User Interface (GUI) has been made following Interaction Design (IxD) principles. The designs have been iteratively developed and tested by experienced ship's officers in a ship-handling simulator to clarify key information to enhance their Situation Awareness (SA) and decision-making process. In order to find indicators for performance, an initial performance test was carried out in a ship-handling simulator. The test indicates that a logic based Decision-Support System (DSS) can improve existing simulator-based training activities in STS operations.

Development of a Decision Support System for Unscheduled Maintenance MRO Component Safety Stock

2007 ◽  
Author(s):  
D. Tsakatikas ◽  
M. Sfantsikopoulos
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Inventory Control ◽  
Support System ◽  
Industrial Production ◽  
Failure Modes ◽  
System A ◽  
And Control ◽  
Functional Components ◽  
Criticality Analysis

The paper presents a methodology for the establishment of the MRO (Maintenance, Repair and Operation) material criticality that is focused on the Industrial Unplanned Maintenance needs. The thus obtained criticality is used to rationalize the efficiency of the Plant MRO-material Inventory. Through an appropriately adapted Top-Down FMECA (Failure Modes Effects and Criticality Analysis) the concept of the Component Dynamic Criticality is introduced and calculated for all the functional components of an industrial production facility. The components are assigned with characteristic code numbers. MRO-material Inventory control is then carried out within the frame of the developed Decision Support System. A case study demonstrates the method. The use of the developed Decision Support System considerably increases not only the efficiency of the Plant MRO-Material Inventory and control of the Unplanned Maintenance Downtime, but also its continuously updated and highly constructive System Dynamic Database of Component Failure Modes and their Effects benefits the Conventional Maintenance Schemes, e.g. Scheduled and/or Predictive Maintenance, as well. MRO-Material Inventory control for rational Unplanned Maintenance Downtime has not been addressed to this date in a systematic way. By addressing this issue the present approach contributes to an increased availability of industrial production facilities and to a better performance of CMMS and/or ERP tools.

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