Considerable energy is consumed during steel manufacturing process. Byproduct gas emerges as secondary energy in the process; however, it is also an atmospheric pollution source if it is released into the air. Therefo...Considerable energy is consumed during steel manufacturing process. Byproduct gas emerges as secondary energy in the process; however, it is also an atmospheric pollution source if it is released into the air. Therefore, the optimal utilization of byproduct gas not only saves energy but also protects environment. To solve this issue, a fore- cast model of gas supply, gas demand and surplus gas in a steel plant was proposed. With the progress of energy conservation, the amount of surplus gas was very large. In a steel plant, the surplus gas was usually sent to boilers to generate steam. However, each boiler had an individual efficiency. So the optimization of the utilization of surplus gas in boilers was a key topic. A dynamic programming method was used to develop an optimal utilization strategy for surplus gas. Finally, a case study providing a sound confirmation was given.展开更多
The purpose of the study is to develop an approach to optimising the investment decision-making process using the dynamic programming method and its further integration into the enterprise information system using new...The purpose of the study is to develop an approach to optimising the investment decision-making process using the dynamic programming method and its further integration into the enterprise information system using new technologies.The following methods were used in the study:System-structural analysis,dynamic programming method,graphical,and tabular methods.As a result of the conducted study,the role of information in the investment process was determined.An approach to the formation of the structure of an enterprise information system designed to optimise the investment decision-making process was proposed.The components of the structural elements of this system are considered—information collection,processing,and interpretation.A roadmap for information support for the development and implementation of an investment project is proposed,the blocks of which correspond to a certain direction of information processing,depending on the stage of implementation of the investment project—preparation,implementation,and final stage.The existing solutions are considered,and ready-made software products designed to optimise the investment process are characterised,primarily from the standpoint of risk assessment.An approach to optimising the investment decision-making process based on the dynamic programming method is proposed.An example of using this method to select one of the proposed alternatives according to the profit maximisation criterion is given.The results of the analysis can be used by the management board of enterprises to optimise the investment decision-making process.展开更多
We apply the dynamic programming methods to compute the analytical solution of the dynamic mean-variance optimization problem affected by an exogenous liability in a multi-periods market model with singular second mom...We apply the dynamic programming methods to compute the analytical solution of the dynamic mean-variance optimization problem affected by an exogenous liability in a multi-periods market model with singular second moment matrixes of the return vector of assets. We use orthogonai transformations to overcome the difficulty produced by those singular matrixes, and the analytical form of the efficient frontier is obtained. As an application, the explicit form of the optimal mean-variance hedging strategy is also obtained for our model.展开更多
基金Sponsored by Science and Technology Research Funds of Liaoning Provincial Education Department of China(L2012082)
文摘Considerable energy is consumed during steel manufacturing process. Byproduct gas emerges as secondary energy in the process; however, it is also an atmospheric pollution source if it is released into the air. Therefore, the optimal utilization of byproduct gas not only saves energy but also protects environment. To solve this issue, a fore- cast model of gas supply, gas demand and surplus gas in a steel plant was proposed. With the progress of energy conservation, the amount of surplus gas was very large. In a steel plant, the surplus gas was usually sent to boilers to generate steam. However, each boiler had an individual efficiency. So the optimization of the utilization of surplus gas in boilers was a key topic. A dynamic programming method was used to develop an optimal utilization strategy for surplus gas. Finally, a case study providing a sound confirmation was given.
文摘The purpose of the study is to develop an approach to optimising the investment decision-making process using the dynamic programming method and its further integration into the enterprise information system using new technologies.The following methods were used in the study:System-structural analysis,dynamic programming method,graphical,and tabular methods.As a result of the conducted study,the role of information in the investment process was determined.An approach to the formation of the structure of an enterprise information system designed to optimise the investment decision-making process was proposed.The components of the structural elements of this system are considered—information collection,processing,and interpretation.A roadmap for information support for the development and implementation of an investment project is proposed,the blocks of which correspond to a certain direction of information processing,depending on the stage of implementation of the investment project—preparation,implementation,and final stage.The existing solutions are considered,and ready-made software products designed to optimise the investment process are characterised,primarily from the standpoint of risk assessment.An approach to optimising the investment decision-making process based on the dynamic programming method is proposed.An example of using this method to select one of the proposed alternatives according to the profit maximisation criterion is given.The results of the analysis can be used by the management board of enterprises to optimise the investment decision-making process.
基金National Basic Research Program of China (973 Program No.2007CB814903)National Natural Science Foundation of China (No.70671069)
文摘We apply the dynamic programming methods to compute the analytical solution of the dynamic mean-variance optimization problem affected by an exogenous liability in a multi-periods market model with singular second moment matrixes of the return vector of assets. We use orthogonai transformations to overcome the difficulty produced by those singular matrixes, and the analytical form of the efficient frontier is obtained. As an application, the explicit form of the optimal mean-variance hedging strategy is also obtained for our model.
