A Commanding Model of Counterwork Simulation System Based on Value Driving Decision-Making

2012 ◽  
pp. 13-19
Author(s):  
Weifeng Li ◽  
Shuli Wang ◽  
Xinjun Zhao ◽  
Jiying Wang
Keyword(s):  
Decision Making ◽  
Simulation System

A System for Data Processing on Supply-Chain Distributed Simulation Platform Based on Agent

2010 ◽  
Vol 26-28 ◽  
pp. 397-400 ◽  
Author(s):  
Zhi Xun Sun ◽  
Jie Lin
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Data Storage ◽  
Distributed Simulation ◽  
Simulation System ◽  
Simulation Platform ◽  
Simulation Performance ◽  
Dynamic Display ◽  
Time Simulation ◽  
Supply Chain Simulation

To deal with the result data of the supply-chain simulation, such as data storage, analysis and display, a data system based on agent has been developed. Utilize agent’s intelligence and interaction; realize the dynamic display of the real-time simulation status and statistics analysis. The simulation performance can then be viewed and analyzed to provide the decision making. The system, as an indispensible part of the simulation platform, supports the simulation system effectively.

scholarly journals A Hybrid Three Layer Architecture for Fire Agent Management in Rescue Simulation Environment

10.5772/5796 ◽  
2005 ◽  
Vol 2 (2) ◽  
pp. 12 ◽  
Author(s):  
Alborz Geramifard ◽  
Peyman Nayeri ◽  
Reza Zamani-Nasab ◽  
Jafar Habibi
Keyword(s):  
Decision Making ◽  
Intelligent Agents ◽  
Simulation System ◽  
Hybrid Architecture ◽  
Simulation Environment ◽  
Layered Architecture ◽  
Fire Extinguishing ◽  
Three Layer Architecture ◽  
Multi Agent ◽  
Robocup Rescue

This paper presents a new architecture called FAIS for implementing intelligent agents cooperating in a special Multi Agent environment, namely the RoboCup Rescue Simulation System. This is a layered architecture which is customized for solving fire extinguishing problem. Structural decision making algorithms are combined with heuristic ones in this model, so it's a hybrid architecture.

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.

PlantTwin simulation system as a tool for verifying production plans and supporting the decision-making to improve production effectiveness

2021 ◽  
pp. 80-85
Author(s):  
Keyword(s):  
Decision Making ◽  
Simulation System ◽  
Planning Systems ◽  
Logistics Systems ◽  
Systems Planning ◽  
Information Models ◽  
Production Effectiveness ◽  
Systems Simulation ◽  
Production Plans ◽  
Simulation Systems

The possibility of increasing the effectiveness of production and logistics systems of enterprises by joint use of MES/APS systems and a simulation system for verifying production plans and supporting the decision-making is considered. Keywords: production and logistics systems, planning systems, simulation systems, information models. [email protected], tel.: 915-105-62-48

Research on Network Attack Training Simulation System Based on Attack Tree

2014 ◽  
Vol 651-653 ◽  
pp. 1917-1920 ◽  
Author(s):  
Jian Jun Shen ◽  
Jun Yang ◽  
Gang Chen
Keyword(s):  
Decision Making ◽  
Testing Procedure ◽  
Simulation System ◽  
Attack Tree ◽  
Network Attack ◽  
Simulation Based ◽  
Training Simulation

This paper analyzed the important effect on network attack, and present a method of network attack training simulation based on attack tree, as a result of testing procedure, the method make trainee operate efficient and get target quickly, improved trainees capacity of analysis and decision-making, and more available,provide clearly visible help for commander of attacker to organize leaguer cooperate.

scholarly journals PlantTwin simulation system as a tool for verifying production plans and supporting decision-making to improve the efficiency of machine-building industries

2020 ◽  
Vol 329 ◽  
pp. 03075
Author(s):  
Petr A. Nikishechkin ◽  
Sergey S. Ivashin ◽  
Vitaly E. Chernenko ◽  
Andrey A. Malykhanov ◽  
Nikita V. Dolgov
Keyword(s):  
Decision Making ◽  
Simulation Modeling ◽  
Machine Building ◽  
Simulation System ◽  
Production Program ◽  
Logistics Systems ◽  
Small Machine ◽  
Simulation Scenario ◽  
Production Plans ◽  
Simulation Systems

The article deals with the issues of improving the efficiency of production and logistics systems (PLS) of machine-building enterprises through the joint use of MES/APS systems and simulation systems for verification of production plans and decision support. The possibility of using the PlantTwin simulation system on the example of a small machine- building enterprise is considered. Simulation of the operation of the enterprise’s PLS when performing a given production program is performed. Based on the results of simulation modeling, a number of organizational and technological proposals and recommendations for improving the efficiency of the enterprise’s PLS were formed. The proposed solutions were verified by making changes to the simulation scenario and obtaining new results showing their effectiveness.

scholarly journals Landscape-scale simulations as a tool in multi-criteria decision making for agri-environment schemes

2019 ◽  
Author(s):  
Chris J. Topping ◽  
Lars Dalby ◽  
Jose W. Valdez
Keyword(s):  
Decision Making ◽  
Management Practices ◽  
Management Strategies ◽  
Simulation System ◽  
Landscape Context ◽  
Context Dependency ◽  
Multi Criteria Decision Making ◽  
Management Options ◽  
Management Actions ◽  
Wide Range

AbstractIncreasing concerns over the environmental impacts of agriculture in Europe has led to the introduction of agri-environment schemes (AES) to help mitigate biodiversity loss. However, effectiveness of AES has been mixed and only partially successful in achieving desired outcomes. To improve effectiveness and reduce high costs, multi-criteria decision analysis (MCDA) can help support decision-making and determine the most effective management action. Although MCDA has great potential for evaluating policy measures, it rarely considers the context-dependency of species responses to management practices across different landscapes. Landscape simulations can, therefore, be valuable for reducing the uncertainties when predicting the consequences of management actions. A potential suitable simulation system is the Animal, Landscape, and Man Simulation System (ALMaSS), a mechanistic simulation with can improve MCDA with the automatic integration of a species ecology and behaviour and landscape context. The aim of this study was to demonstrate the effectiveness of ALMaSS in evaluating AES management practices across different landscapes and estimate their ability to achieve the proposed conservation outcomes of three typical species of conservation interest. In this study, the effect of a particular management strategy on a species was dependent on the landscape context, in our case, a combination of landscape structure and the type and distribution of farms, and varied depending on the metrics being measured. Although we did not aim to make recommendations of particular management strategies, we demonstrate how simulations can be used for MCDA to select between management strategies with different costs. Despite the complexity of ALMaSS models, the simulation results provided are easy to interpret. Landscape simulations, such as ALMaSS, can be an important tool in multi-criteria decision making by simulating a wide range of managements and contexts and provide supporting information for filtering management options based on specific conservation goals.

A Rapid Simulation System for Decision Making in Intelligent Forest Management

2013 ◽  
Vol 28 (5) ◽  
pp. 2-9
Author(s):  
Jing Fan ◽  
Tianyang Dong ◽  
Xinxin Guan ◽  
Ying Tang
Keyword(s):  
Decision Making ◽  
Forest Management ◽  
Simulation System
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