Using system dynamics for simulation and optimization of one coal industry system under fuzzy environment

Authors:
Jiuping Xu;Xiaofei Li
Affiliations:
Uncertainty Decision-Making Laboratory, Sichuan University, Chengdu 610064, PR China;Uncertainty Decision-Making Laboratory, Sichuan University, Chengdu 610064, PR China
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

Citing 2
Cited 1

A fuzzy linear programming model for production planning in coal mines

Computers and Operations Research
A class of multiobjective linear programming model with fuzzy random coefficients

Mathematical and Computer Modelling: An International Journal

A system dynamics framework for integrated reverse supply chain with three way recovery and product exchange policy

Computers and Industrial Engineering

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Abstract

In this paper, we have developed a model that integrates system dynamics with fuzzy multiple objective programming (SD-FMOP). This model can be used to study the complex interactions in a industry system. In the process of confirming sensitive parameters and fuzzy variables of the SD model, we made use of fuzzy multi-objective programming to help yield the solution. We adopted the chance-constraint programming model to convert the fuzzy variables into precise values. We use genetic algorithm to solve FMOP model, and obtain the Pareto solution through the programming models. It is evident that FMOP is effective in optimizing the given system to obtain the decision objectives of the SD model. The results recorded from the SD model are in our option, reasonable and credible. These results may help governments to establish more effective policy related to the coal industry development.