Papers by Keyword: Dynamic Programming

Abstract: This paper is concerned with stochastic optimization in continuous time and its application in reinsurance. It deals with a model of optimization reinsurance which makes it possible to maximize the technical benefit of an insurance company and to minimize the risk for a given period. Indeed, here we discuss a stochastic optimal control problem to determine the optimal risk management strategy, the purpose of which is to identify the appropriate level of transfer rate for "quota share" reinsurance contracts, which are most appropriate to the risk profile of an insurance company. In addition, we use a resolution approach based on dynamic programming and the HJB equation in order to reach the aforementioned aim, which is finding the optimal strategy for reinsurance to adapt better for insurance company.

Abstract: The paper presents the application of dynamic programming for optimization of cutting parameters of Duplex Stainless Steels (DSS). In this work, modified Dijkstra's optimization algorithm is used in order to obtain the optimal values of the technological cutting parameters with coated carbide tool point. ANOVA analysis was performed to determine the significance of machining parameters. The results at optimum cutting condition are predicted using estimated values. The study was performed within a production facility during the machining of electric motor parts and deep-well pumps.

Abstract: In this paper, a new, optimization strategy is used for the determination of the optimum cutting parameters for multipass milling operations. This strategy is based on the “minimum production time” criterion. The optimum number of passes is determined via dynamic programming, and the optimal values of the cutting conditions are found based on the objective function developed for the typified criterion by using a hybrid genetic algorithm with SQP. GA is the main optimizer of this algorithm, whereas SQP is used to fine-tune the results obtained from the GA. Furthermore, the convergence characteristics and robustness of the proposed method have been explored through comparisons with results reported in literature. The obtained results indicate that the proposed strategy is effective compared to other techniques carried out by different researchers.

Abstract: The paper examines the influence of cutting parameters, namely cutting speed and feed rate on the tool life in machining process of cylindrical billets made from a Duplex Stainless Steel (DSS). Two optimization methods is presents, one based on the Taguchi design of the experiment with orthogonal array L₉ and signal-to-noise ratio (S/N) and the second based on the dynamic programming approach with modified Dijkstra's algorithm have been used to find optimal levels of the control parameters. ANOVA was performed to determine the significance of the input variables. A predictive mathematical model has been developed through a regression analysis to study the response. The results at optimum cutting conditions are predicted using estimated values. Finally, the features, the merits and the limitations of the presented optimization approaches were discussed.

Abstract: A reasonable and effective control strategy for HEV (Hybrid Electric Vehicle) with HESS (Hybrid Energy Storage System) can improve the system efficiency and battery service life. A dynamic programming-based global optimal control strategy which fully considered the efficiency of each component in HEV is presented. To compare with the nonlinear proportion factor dynamic coordination strategy, the fuel consumption is not increased. The cycle numbers of battery are further decreased which benefits its cycle life improvement. The regenerative energy callback ratio improves 3% under the shanghai drive cycle as an example. Since this optimization algorithm considers efficiency of each subsystem, the efficiency optimum under the selected driving cycle was realized. It can also provide a reference for the non-linear scaling factor allocation strategies to determine the scale factors.

Abstract: The article deals with a system design of manual order picking of goods in small trade-distribution company in which the volume of picking and transported goods is important instead of its total weight. The main part of the paper is to select the correct type and number of passive means of transport (paper or plastic boxes, crates, etc.) for small and lightweight goods and to determine the exact order and sequence of storage-packaging goods in accordance with pre-established terms and conditions. At the end, this proposed system is applied on an example.

Abstract: In response to the global environmental concerns, diverse mechanisms have been developed which have an influence on the power industry, especially generation mix. Therefore, long-term Generation Expansion Planning (GEP) model should consider the environmental factors while ensuring reliable and efficient supply of forecasted demand. This paper proposed the multi-period GEP model that capturing the effect of Renewable Portfolio Standards (RPS) program and Emission Trading (ET), and Target Scheme (TS). Numerical results show that current generation mix in Korea solely cannot ensure the environmental requirement properly. Moreover, appropriate investment of renewable are needed.

Abstract: By using dynamic programming (DP) which is a kind of global optimization algorithm, an energy management control strategy for a parallel hybrid electric vehicle (PHEV) on different charging depleting range (CDR) had been studied. The results show that motor-dominant control strategy should be applied to the PHEV when CDR is less than 55km, and engine-dominant control strategy should be used when CDR is more than 55km. With optimal control strategies from DP, the best economic performance can be obtained as CDR is 55km

Abstract: For a plug-in hybrid electric vehicle equipped with Automated Manual Transmission (AMT), Dynamic Programming (DP) algorithm is used to improve the energy economy of the vehicle under the dynamic performance. Meanwhile, the energy consumption curve of vehicle and the operating points of engine under the driving cycle are obtained. From the results, the operation can be divided into two phases which are pure electric driving mode and hybrid driving mode. Then, compare the consumption in the two phases of hybrid electric vehicle with that of pure electric vehicle and traditional fuel vehicle separately. Finally, through calculation, the dynamic performance of the plug-in hybrid electric vehicle is also verified.

Abstract: The optimization problems about production and service operations management was proposed in the paper. Dynamic programming was introduced to optimize production and service operations. Meanwhile, the concept and principle of dynamic programming was introduced and the multi-stage decision was analyzed. Then, the model was established and the model solution is given. In the end, the example provided demonstrates the application in the service operations management and it was proved that the methods proposed efficiency to solve the optimization problems about production and service operations management.