Research on Warship Maintenance Support Simulation System Based on the Method of Equipment Maintenance Support Simulation Experiment

2012 ◽  
Vol 198-199 ◽  
pp. 905-910
Author(s):  
Ying Wu Peng ◽  
Qing Min Li ◽  
Rui Wang ◽  
De Jun Mao
Keyword(s):  
Decision Making ◽  
System Design ◽  
Support System ◽  
Simulation Experiment ◽  
Interface Layer ◽  
Simulation System ◽  
Equipment Maintenance ◽  
Time Layer ◽  
System A ◽  
Data Layer

Equipment maintenance support simulation experiment (EMSSE) is a method of studying maintenance support problem about decision-making about uncertain support scheme alternatives. Aiming at the character of complexity and uncertainty on the warship equipment maintenance support system, a type of structure applied to the warship equipment maintenance support simulation system was brought forward to support EMSSE based on the functional demand of system, and the interface layer, running-time layer, and data layer were analyzed in detail , and the executing process was designed. Finally, a warship maintenance support simulation system (WMSSS) which was developed and realized based on system design, which was used to make an experiment. The result of simulation experiment validates that WMSSS is feasible and reasonable to supply uncertain decision assistance for warship maintenance equipment support.

Research on the Method of Equipment Maintenance Support Simulation Experiment Based on Exploratory Analysis

2012 ◽  
Vol 198-199 ◽  
pp. 756-760
Author(s):  
Ying Wu Peng ◽  
Qing Min Li ◽  
Min Zhi Ruan ◽  
Ding Xiao
Keyword(s):  
Decision Making ◽  
Support System ◽  
Simulation Experiment ◽  
System Simulation ◽  
Spare Part ◽  
Exploratory Analysis ◽  
Equipment Maintenance ◽  
System A ◽  
Set Up ◽  
Support Decision Making

Aiming at the character of complexity and uncertainty on equipment maintenance support system, a method named equipment maintenance support simulation experiment was brought forward to study maintenance support problem based on exploratory analysis, which was applied to support decision-making about uncertain support scheme alternatives. The main characteristics of EMSSE were analyzed in detail, and the working flow was designed. Finally, in an example about warship maintenance support system simulation model which was set up, the optimal scheme of various storehouse inventory distributions for spare part was gotten. The optimization result was consistent with the basic principle under the three-echelon maintenance support pattern, and validates that EMSSE is feasible and reasonable to supply uncertain decision assistance for equipment support.

Perspectives on Decision Analysis for Decision Support System Design

1993 ◽  
Vol 37 (16) ◽  
pp. 1101-1101 ◽  
Author(s):  
Barbara J. Barnett
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
System Design ◽  
Support System ◽  
Information Organization ◽  
Human Decision ◽  
Tactical Decision ◽  
Decision Making Behavior

This symposium addresses the characterization of human decision making within a complex environment for the purpose of developing improved decision support systems. All of the work presented in this symposium was conducted under a Navy research program entitled “Tactical Decision Making Under Stress” (TADMUS). The overall objective of the TADMUS program is to improve tactical decision making of anti-air warfare (AAW) crew members within the Aegis cruiser's combat information center (CIC) under conditions of stress and uncertainty. The unique aspect of this effort is that each presentation addresses decision making behavior, within a single domain, from a different perspective. The goal of each effort is to characterize some aspect of expert decision making performance within the AAW task environment, and to make recommendations for the resulting decision support system design based upon these characterizations. The result is a multi-faceted, human-centered approach to information organization and interface display design for a decision support system.

Application of Psychological Principles to Decision Support System Design: An Overview

1983 ◽  
Vol 27 (6) ◽  
pp. 479-481 ◽  
Author(s):  
Ruth H. Phelps
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
System Design ◽  
Support System ◽  
Support Systems ◽  
Psychological Perspective ◽  
Behavioral Decision ◽  
Definition Of

The Behavioral Decision Making session will focus on the application of psychological principles to the design of decision support systems. In this overview the definition of a decision support system and a psychological perspective are described.

scholarly journals Intelligent decision-making support system for manufacturing solution recommendation in a cloud framework

2020 ◽  
Author(s):  
Alessandro Simeone ◽  
Yunfeng Zeng ◽  
Alessandra Caggiano
Keyword(s):  
Machine Learning ◽  
Decision Making ◽  
Support System ◽  
Cloud Manufacturing ◽  
Cloud Platform ◽  
Intelligent Decision Making ◽  
System A ◽  
Intelligent Decision ◽  
Learning Procedure ◽  
Decision Making Support

AbstractCloud manufacturing represents a valuable tool to enable wide sharing of manufacturing services and solutions by connecting suppliers and customers in large-scale manufacturing networks through a cloud platform. In this context, with increasing manufacturing network size at global scale, the elevated number of manufacturing solutions offered via cloud platform to connected customers can increase the complexity of decision-making, resulting in poor user experience from a customer perspective. To tackle this issue, in this paper, an intelligent decision-making support tool based on a manufacturing service recommendation system (RS) is designed and developed to provide for tailored manufacturing solution recommendation to customers in a cloud manufacturing system. A machine learning procedure based on neural networks for data regression is employed to process historical data on user manufacturing solution preferences and to carry out the automatic extraction of key features from incoming user instances and compatible manufacturing solutions generated by the cloud platform. In this way, the machine learning procedure is able to perform a customer segmentation and build a recommendation list characterized by a ranking of manufacturing solutions which is tailored to the specific customer profile. With the aim to validate the proposed intelligent decision-making support system, a case study is simulated within the framework of a cloud manufacturing platform delivering dynamic sharing of sheet metal cutting manufacturing solutions. The system capability is discussed in terms of machine learning performance as well as industrial applicability and user selection likelihood.

scholarly journals Decision Support System to Determine the Achievement of Students Using Simple Multi-Attribute Rating Technique (SMART)

2019 ◽  
Vol 2 (2) ◽  
pp. 39-47
Author(s):  
Abdul Jahir ◽  
Ito Setiawan ◽  
Anisa Dayu Arta
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
System Design ◽  
Support System ◽  
System Development ◽  
Sql Server ◽  
Decision Making Process ◽  
Design Tools ◽  
Ranking Methods ◽  
Decision Support Process

The problem is in determining the achievement of students by organizing the consultation between teachers. The purpose of this research is to assist the decision-making process of determining the achievement of students with SMART method implementation. The methods of collecting data are interviews, documentation, and observations. The method of system development used is the waterfall method by using the system design tools in the form of DFD and ERD. The software used in the creation of this application is Visual Studio and SQL server express. The results of this study are SMART ranking methods. The decision support process is more objective because it complies with predefined criteria.Decision Support System to Determine the Achievement of Students Using Simple Multi-Attribute Rating Technique (SMART)

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