A flexible manufacturing system (FMS) is the model used for the system produced in the manufacturing industry, and it consists of the number of interconnected workstation. Inflexible manufacturing system scheduling of jobs has become a serious problem, even for a short breakdown of the machine and for the unexpected arrival of the product. To overcome this problem, a flexible manufacturing system using fuzzy rules is proposed. In this proposed model, four input variables are considered: (1) machine allocated processing time; (2) priority of the machine; (3) priority of the due date; and (4) priority of the setup time. The priority based on the job is the fuzzy variable, which shows the status of the job, based on which the next job will be selected for the processing in the machine. In this model, the machine will be selected first, and then, the scheduling is done based on the multi-criteria scheduling system. The obtained results are compared with the existing system and from the results. The improved scheduling strategy provides better results for the scheduling problem.

柔性制造系统（FMS）是用于制造业生产的系统的模型，它由互连的工作站数量组成。即使对于机器的短暂故障和产品的意外到达，不灵活的制造系统的作业调度也已成为一个严重的问题。为了克服这个问题，提出了一种使用模糊规则的柔性制造系统。在该模型中，考虑了四个输入变量：（1）机器分配的处理时间；（2）机器的优先级；（3）到期日的优先权；（4）设置时间的优先级。基于作业的优先级是模糊变量，该变量显示作业的状态，基于该变量将选择下一个作业以在机器中进行处理。在此模型中，将首先选择机器，然后再选择 调度是基于多准则调度系统完成的。将获得的结果与现有系统进行比较，并从结果中进行比较。改进的调度策略为调度问题提供了更好的结果。