Scheduling study of RGV trolleys considering failure

This paper first provides a model and algorithm suitable for dynamic scheduling of RGV cars, and then establishes an evaluation model for the scheduling strategy when the CNC fails. Finally, the simulation proves that the scheduling strategy model provided in this paper has extremely high stability and superiority under fault conditions. This paper creatively proposes the concept of urgency and analyzes a variety of variables that affect urgency. The factors affecting the urgent value mainly include the influence of the CNC itself and the mutual influence of multiple CNCs. For the case of probability of failure: the key to the problem is the given CNC failure rate, so proper handling of the failure rate becomes a top priority. This paper uses the knowledge of probability theory in an ingenious way to build a model based on the Weibull probability distribution. The Weibull probability distribution model is widely used in the judgment of various mechanical faults, so it has high use value for this problem. After obtaining the detailed probability distribution, we use the probabilistic method to judge the weight, and then obtain the system stability evaluation index. Through analysis, we use the MATLAB simulation program to analyze the response results of our established model and selection strategy in the case of faults, and explore the anti-fault indicators of the quantization algorithm.