scholarly journals Computer software for the evaluation of economic management of industrial enterprise on the basis of the simulation model.

2014 ◽  
Vol 2014 (1) ◽  
pp. 94-101 ◽  
Author(s):  
Анатолий Якимов ◽  
Anatoliy Yakimov ◽  
Константин Захарченков ◽  
Konstantin Zakharchenkov
Keyword(s):  
Decision Making ◽  
Simulation Model ◽  
Computer Software ◽  
Simulation Models ◽  
Software Tools ◽  
Industrial Enterprise ◽  
Economic Systems ◽  
Economic Management ◽  
Managerial Decisions ◽  
Support Decision Making

The information assessments are developed to determine requirements to software-based simulation model. Software tools are designed to support decision-making control in the economic systems of enterprises. The software tools are focused on operation of simulation models by the makers managerial decisions.

scholarly journals Model Driven Combat Effectiveness Simulation Systems Engineering

2020 ◽  
Vol 70 (1) ◽  
pp. 54-59
Author(s):  
Zhi Zhu ◽  
Yonglin Lei ◽  
Yifan Zhu
Keyword(s):  
Decision Making ◽  
Simulation Model ◽  
Conceptual Model ◽  
Systems Engineering ◽  
Simulation Models ◽  
Proof Of Concept ◽  
Model Driven Engineering ◽  
Model Driven ◽  
Combat Effectiveness ◽  
Simulation Systems

Model-driven engineering has become popular in the combat effectiveness simulation systems engineering during these last years. It allows to systematically develop a simulation model in a composable way. However, implementing a conceptual model is really a complex and costly job if this is not guided under a well-established framework. Hence this study attempts to explore methodologies for engineering the development of simulation models. For this purpose, we define an ontological metamodelling framework. This framework starts with ontology-aware system conceptual descriptions, and then refines and transforms them toward system models until they reach final executable implementations. As a proof of concept, we identify a set of ontology-aware modelling frameworks in combat systems specification, then an underwater targets search scenario is presented as a motivating example for running simulations and results can be used as a reference for decision-making behaviors.

The Uncertainty and Uncoordination of Mariners' Behaviour in Collision Avoidance at Sea

1995 ◽  
Vol 48 (3) ◽  
pp. 425-435 ◽  
Author(s):  
J. Zhao ◽  
W. G. Price ◽  
P. A. Wilson ◽  
M. Tan
Keyword(s):  
Decision Making ◽  
Simulation Model ◽  
Collision Avoidance ◽  
Simulation Models ◽  
Fuzzy Programming ◽  
Assessment Model ◽  
The Other ◽  
Entropy Theory ◽  
Close Proximity ◽  
Decision Making Model

It is well known that many collisions occur because one ship turns right whilst the other turns left when in close proximity to one another. Little is known as to why this occurs and, although some simulation models have been established using entropy theory, the problem remains unsolved.In this paper, an assessment model for uncertainty is reviewed briefly. The concepts of uncertainty and uncoordination of mariners' behaviour in collision avoidance are discussed. A simulation model in conjunction with a DCPA (distance to the closest point of approach) decision-making model using fuzzy programming is introduced to discuss coordination.

Implementation of a Simulation Model for Optimizing the Traffic Flow from Arafat to Muzdalifah

2017 ◽  
Vol 13 (33) ◽  
pp. 390
Author(s):  
Arwa Jamjoom
Keyword(s):  
Decision Making ◽  
Simulation Model ◽  
Traffic Flow ◽  
Visual Feedback ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Primary Objective ◽  
Experimental Results ◽  
Different Types ◽  
Support Decision Making

This project simulates the flow of pilgrims when they travel from Arafat to Muzdalifah. The system includes the roads network that connects Arafat to Muzdalifah, which is represented as a queuing system with different queue measurements that simulate reality. The system also includes different types of transportation, such as small and large buses and trains, all of which are represented as objects with different size and colors. All system objects carry specifications as their corresponding source system objects, and these specifications are based on data collected by the Ministry of Hajj. The primary objective of the system is to answer “what if” questions to support decision making to optimize Hajj traffic, which can be achieved by manipulating the system’s variables and then by observing the key performance indicators of the system. The system presents the experimental results as visual feedback alongside written reports with statistics and illustrations.

Simulation Model Refinement for Decision Making Via a Value-of-Information Based Metric

2006 ◽  
Author(s):  
Jitesh H. Panchal ◽  
Christiaan J. J. Paredis ◽  
Janet K. Allen ◽  
Farrokh Mistree
Keyword(s):  
Decision Making ◽  
Simulation Model ◽  
Value Of Information ◽  
Design Space ◽  
Simulation Models ◽  
Model Refinement ◽  
Physical Behavior ◽  
Additional Information ◽  
A Value ◽  
The Difference

Since no simulation model is perfect, any simulation model for modeling a system’s physical behavior can be refined further. Hence, the question faced by a designer is — “How much refinement of a simulation model is adequate for a particular design problem?” To answer this question, we present a value-of-information based approach for determining the appropriate extent of refinement of simulation models. The value of additional information obtained via refinement of simulation models is measured as the difference between the maximum payoff that could possibly be achieved throughout the design space and the minimum possible payoff at the point in the design space selected using the simple model. The approach is presented using two examples — design of a pressure vessel and the design of a material.

scholarly journals Life Cycle Cost management of blower station construction for wastewater utility

2018 ◽  
Vol 170 ◽  
pp. 04021 ◽  
Author(s):  
Victor Bazhenov ◽  
Andrei Ustiuzhanin
Keyword(s):  
Decision Making ◽  
Life Cycle Cost ◽  
Cost Management ◽  
Power Saving ◽  
Cost Effective ◽  
Decision Making Process ◽  
Control Methods ◽  
Discount Rates ◽  
Economic Management ◽  
Support Decision Making

Management and Economics in construction is submitted by this article as a settlement tool for construction justification of blower stations. These buildings with powerful units are under financial provision of communal wastewater utilities. Economic management implemented by usage of LCC analyses, which supposed to support decision making process. LCC analyses refer to its application with and without consideration of discount rates (DR, DR-out, DR-with). Also investigated variants of blower types: multistage without control (v1), multistage with VFD control (v2), single stage dual vane control (v3). The result of LCC analysis (DR-out) shows, that last variant 3 is most cost-effective for investments with economy of: 26,9% to (v1) and 21,7% to (v2) under the identical duty conditions. Consideration of discount rates (DR-with) resulted the same as: 21,5% to (v1) and 19,7% to (v2). The power consumption plays a significant role in LCC estimation. The result of LCC analysis (DR-out) shows the proportion “energy/LCC”: 94,9% (v1); 87,1% (v2); 84,5% (v3). Consideration of discount rates (DR-with) resulted the same as: 92,5% (v1); 81,1% (v2); 76,6% (v3). The reached power saving for all control methods of blower regulation are inside range 14,3–34,9%.

scholarly journals Research and Application of Simulation-Based Decision-Support

2012 ◽  
Vol 6-7 ◽  
pp. 250-255
Author(s):  
Chun Yu ◽  
Fang Yuan ◽  
Qian Zhang
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Simulation Model ◽  
Support System ◽  
Key Technology ◽  
Simulation Based ◽  
Decision Support Method ◽  
Support Decision Making

To find a way to support decision making on basis of simulation, this paper researches the technology of simulation and decision support, and proposes a decision-support method based on simulation, illustrates the actual administrative demand of university, establishes a simulation model, builds the architecture of simulation-based decision-support system, discusses the key technology in the implementation. This module, by summarizing the results of testing and forming the advice of supporting, can well achieve the combination of simulation and decision-support, and thus getting a better result.

scholarly journals Managerial Decision Support Making in Economic Systems Based on Cognitive Modeling

2018 ◽  
Vol 7 (4.3) ◽  
pp. 588
Author(s):  
L. Filipkovska ◽  
O. Matviienko
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Cognitive Modeling ◽  
Management Strategies ◽  
External Environment ◽  
Analytical Models ◽  
Economic Systems ◽  
Managerial Decision ◽  
Intelligent Decision Making ◽  
Managerial Decisions

The research is devoted to the search for the technologies to support managerial decisions in the transport industry economic systems. The problems of the complex economic systems modelling have been identified. Cognitive modelling is considered as a tool of supporting intelligent decision making in economic systems. The modelling is based on methods of pattern recognition theory. The results of the scientific research are presented with structural-analytical models of decision support systems. Such models represent the knowledge processing to formulate recommendations for making managerial decisions. Knowledge based on the experience of managing a production situation should be stored in the knowledge base of the information decision making support system. Cognitive modeling will make it possible to study the problems that arise in unstable, weakly structured dynamic economic systems, taking into account changes of the external environment and the object of management itself, systematizing and verifying the expert's perception of the management object and its external environment, forecasting the values of economic system factors and generating optimal management strategies.  

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