Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2022-04-07 Cooperative journals: 《计算机应用研究》
Abstract： To address the problems of large operating costs and fairness between doctors and patients in the current hospital bed scheduling, this paper proposes a multi-objective stochastic programming model for single department bed allocation considering hospital operating costs and patient fairness. First, this paper proposes a weighted measure of responsiveness and access to reflect the fairness of the doctor-patient relationship based on relevant hospital-based policies, and establishes a multi-objective stochastic programming model considering the operational cost of the hospital; second, to facilitate the algorithm solution, a linearization method is introduced to process the complex model into a mixed integer linear model; finally, the improved NSGA2 algorithm solve the multi-objective problem The improved algorithm enhances the convergence and diversity of the algorithm, and the experimental results verify the validity and applicability of the model by adjusting different parameters for different numerical experiments.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2020-09-28 Cooperative journals: 《计算机应用研究》
Abstract： In order to solve the problem of large deviation between Hidden Markov Model and actual equipment health diagnosis, this paper developed an improved Degenerated Hidden Markov Model (DGHMM) with a core of the quasi power relation. First, the model adopted the degradation factors, modeling the process of recession for the equipment’s continuous decrease in performance. Compared with the conventional exponential accelerated degradation, the quasi power relation accelerated degradation can better describe the process that the performance of the equipment decreases gradually with the increase of service age. Then, the improved genetic algorithm can replace the conventional EM algorithm for parameters’ estimation, which overcomes the limitation that the EM algorithm is easy to fall into local optimization. At the same time, in terms of the limitation of life prediction problem as a result of the Hidden Markov Model must obey exponential distribution, an algorithm named greed & approximation based on approximation algorithm and Viterbi algorithm came out, and to seek maximum probability remaining observation, for the purpose of seeking maximum probability dynamically surplus state path, to predict the residual life of equipment. Finally, the proposed method is validated and evaluated with the data set of caterpillar hydraulic pumps. The results show that the method of equipment health diagnosis and life prediction based on the improved degraded hidden Markov model is more effective in describing equipment’s degeneration and the accuracy of equipment state diagnosis, and is also feasible in the prediction of residual life.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-12-13 Cooperative journals: 《计算机应用研究》
Abstract： This paper studies the dynamic allocation model of hospital emergency resources in response to the imbalance between supply and demand of emergency resources in hospitals under emergencies. The emergency resource supply in the hospital is relatively scarce due to the increase in the number of patients and the evolution of the patient's injury. Based on the sequential decision theory, this paper designs the changes of patient needs into a Markov decision process and establishes a dynamic allocation model of hospital emergency resources . Then the model is solved by using the basic particle swarm optimization algorithm, which is analyzed by a rescue example of the hospital after an earthquake. The case study shows that the Markov decision-making process can dynamically meet the needs of patients in different states under the evolution of injuries, making the overall resource utilization in emergency rescues to be optimal.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-02 Cooperative journals: 《计算机应用研究》
Abstract： Currently, the joint optimization problem of multiple maintenance types and economic operation quantity hasn’t been better considered. First, by considering multiple type maintenance relationship, based on time delay theory, the expressions of the number of faults and defects can be obtained. Then, production cost and maintenance cost are comprehensively considered. And a joint optimization model of multiple maintenance types and economic production quantity is proposed in order to obtain the optimal inspection interval and economic production quantity. The minimum total cost per unit time can be described as the optimization objective. Finally, the effectiveness of the model is verified by a case study, and the influence of inspection times on the cost and economic production quantity are analyzed, and it shows that the number of first type of defect inspection has little effect on the cost and the economic production lot.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-04-17 Cooperative journals: 《计算机应用研究》
Abstract： Aiming at the problem of remaining useful life prognosis under abnormal data during equipment degradation, this paper developed a prognostic method based on dynamic expectation maximization (EM) -segmented hidden semi-Markov model (SHSMM) . First, based on the SHSMM model framework, it used the expectation maximization algorithm to estimate the unknown parameters of the model. Secondly, to process the anomaly data in the samples, it proposed a dynamic forward-backward gray-fill algorithm based on WGM (1, 1) , and it carried out the equipment health prognosis. Finally, it used a case study to evaluate the performance of the model. The results show that the proposed method could effectively solve the problem of abnormal data.
Hits
Hits
Downloads
Comment