A 3D mine simulation model for decision-making in mine design and production

2005 ◽  
Vol 19 (4) ◽  
pp. 251-259 ◽  
Author(s):  
Y. Huang ◽  
S. Espley
Keyword(s):  
Decision Making ◽  
Simulation Model ◽  
Mine Design ◽  
Design And Production

scholarly journals Multi-Criteria Analysis for the Selection of the Optimal Mining Design Solution—A Case Study on Quarry “Tambura”

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3200
Author(s):  
Branimir Farkaš ◽  
Ana Hrastov
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Open Pit ◽  
Design Solution ◽  
Mine Design ◽  
Promethee Ii ◽  
Mining Design ◽  
Quarry Mine ◽  
Selection Of

Mining design is usually evaluated with different multiple-criteria decision-making (MCDM) methods when it comes to large open pit or underground ore mines, but it is not used on quarry sites. Since Croatia is mostly mining stone, the implementation of such methods in decision making of the quarry mine design is imperative but left out. In this paper, the PROMETHEE II and AHP decision-making methods are implemented on the quarry site to find out the best final quarry design contour. By implementing the MCDM methods, the best quarry model was chosen based on 22 different criteria parameters out of three final quarry designs. The chosen model is not only financially sound but also has the least environmental impact.

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.

Simulation Modeling as a Decision-Making Aid in Economic Evaluation for Randomized Clinical Trials

2011 ◽  
pp. 1738-1758
Author(s):  
Tillal Eldabi ◽  
Robert D. Macredie ◽  
Ray J. Paul
Keyword(s):  
Clinical Trial ◽  
Decision Making ◽  
Clinical Trials ◽  
Economic Evaluation ◽  
Simulation Model ◽  
Randomized Clinical Trial ◽  
Simulation Modeling ◽  
Randomized Clinical Trials ◽  
Healthcare Systems ◽  
Modeling Process

This chapter reports on the use of simulation in supporting decision-making about what data to collect in a randomized clinical trial (RCT). We show how simulation also allows the identification of critical variables in the RCT by measuring their effects on the simulation model’s “behavior.” Healthcare systems pose many of the challenges, including difficulty in understanding the system being studied, uncertainty over which data to collect, and problems of communication between problem owners. In this chapter we show how simulation also allows the identification of critical variables in the RCT by measuring their effects on the simulation model’s “behavior.” The experience of developing the simulation model leads us to suggest simple but extremely valuable lessons. The first relates to the inclusion of stakeholders in the modeling process and the accessibility of the resulting models. The ownership and confidence felt by stakeholders in our case is, we feel, extremely important and may provide an example to others developing models.

scholarly journals Making the Most of Forest Managers' Knowledge in Choosing Economically Desirable Regeneration Systems

1977 ◽  
Vol 53 (6) ◽  
pp. 355-363 ◽  
Author(s):  
Bijan Payandeh
Keyword(s):  
Decision Making ◽  
Simulation Model ◽  
Cost Structure ◽  
Regeneration System ◽  
Economic Decisions ◽  
Subjective Estimates ◽  
Decision Making Tool ◽  
Forest Managers ◽  
Better Than ◽  
Regeneration Systems

A simulation model was recently developed to aid forest managers in making rational economic decisions with respect to the various regeneration systems. The model capitalizes on the forest manager's experience with, and opinions of, different aspects of these systems. Opinions expressed as his subjective estimates need not be exact nor based entirely on actual data as long as they are free of bias. The final results will indicate the probability that one regeneration system might be better than others, and by how much.This paper demonstrates by means of three examples the application and interpretation of the results of the model. Although the input estimates used for these examples are believed to be well within the present cost structure, it is the application of the model as a decision-making tool that should concern the reader and not so much the results of the examples.

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