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 2019-01-03 Cooperative journals: 《计算机应用研究》
Abstract： The operation scheduling in the presence of uncertainty factors lead to inability to obtain accurate time of operation and ends under Emergency Rescue Situation. In order to solve the problem, this paper proposed a grey scheduling model and a hybrid grey cuckoo algorithm. The model used three parameters interval grey number and the four parameters of interval grey number to describe the uncertain time of operation and the uncertain ends. Then, it defined the possibility measure and necessity measure to estimate the probability of operation tardiness. After that, this paper established a gray mixed integer programming model with minimize average credibility of operation tardiness, and presented a solution method of the mixed grey cuckoo search algorithm. A classic example of size 6(3) � verified the proposed algorithm. The results show that the algorithm can solve the problem very well, and the performance is better than the basic cuckoo algorithm.
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 2018-08-13 Cooperative journals: 《计算机应用研究》
Abstract： In order to solve the problem of optimal replacement ratio of AGVs in flexible workshops, this paper established a flexible shop scheduling model for employees and AGVs. This model took the goal of minimum completion time and cost as the goal and obtained the optimal replacement ratio from static analysis and dynamic analysis. The static analysis part mainly used the linear programming to complete, the dynamic analysis part used the particle swarm algorithm to solve. For the dynamic analysis part, this paper proposed heuristic rules to allocate AGVs and employee handling operations. Through experiments, this paper obtains the Pareto optimal solution set of optimal replacement ratio of AGV. And this paper finds that AGV optimal replacement ratio is related to AGV price.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-07-09 Cooperative journals: 《计算机应用研究》
Abstract： In order to study the effect of behavioral effects on flexible job-shop scheduling problem with AGV, this paper constructed a mathematical model with the goal of shortest completion time considering learning effect and deterioration effect. According to the characteristics of the model, this paper adopted a coding method based on processes, machine and AGV allocation, and proposed a whale algorithm with chaotic local search strategy. The results of numerical examples verify the effectiveness and feasibility of the algorithm. The experiment compared the processing time differences between the learning effect, the deterioration effect, the learning-deterioration effect, and the absence of the effect. At the same time, this paper studied the influence of the number of processing tasks and the number of AGVs on the processing time. Through experiments, it is proved that the AGV resource constraints and various effects jointly affect the unit batch completion time.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-02 Cooperative journals: 《计算机应用研究》
Abstract： To overcome whale optimization algorithm’s disadvantages of poor convergence and being easily trapped in local optima in solving job-shop scheduling problem, this paper proposed a quantum whale optimization algorithm (QWOA) based on the idea of quantum computation. Then it provided the computational complexity analysis, global convergence proof and simulation experiments of QWOA. Based on a set of 11 JSP benchmark instances, the simulation experiments show that QWOA has better results than whale optimization algorithm (WOA) , cuckoo search (CS) and grey wolf optimizer (GWO) , in the minimum value, average value and success rate. Finally, this paper concludes that QWOA has the merits of higher convergence accuracy, higher local optima avoidance and better exploration.
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 2018-04-12 Cooperative journals: 《计算机应用研究》
Abstract： Based on the establishment of sequential game model, this paper analyzed the situation of trading technology and service on cloud manufacturing platform, studied the sharing efficiency and sharing mechanism of cloud manufacturing platform, obtained the equilibrium solution of the model, carried out the stability analysis, used cases to discuss the optimal pricing strategy of cloud platforms and enterprises under different costs, compared the difference of technology sharing between cloud manufacturing environment and traditional manufacturing environment. The research shows that the cloud platform can effectively promote technology sharing, but there is also an unfair distribution of income distribution. Therefore, some policy suggestions are put forward for the problem.
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