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Dynamic flexibility metrics for capability and capacity

机译:能力和容量的动态灵活性指标

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In production environments, such as Flexible Manufacturing Systems (FMSs), the schedule can be disturbed by the occurrence of unplanned events. Machines stop for major failures, maintenance, tool changes due to wear, or tool reassignments. The rescheduling process, however, can be costly. In this study, a dynamic measure of flexibility which helps to determine an appropriate time for rescheduling an FMS has been defined and investigated. Flexibility is defined as a function of Capability and Capacity. Accordingly, two metrics have been developed to monitor the capability and capacity efficiency of each machine in the system for responding to the dynamic system status. The value of each metric falls between 0 and 1 at all times. Higher values in the capability metric mean better machine selection and part distribution strategies among the machines. Higher values for the capacity metric mean higher machine utilization in the production plan. Based on the interaction between the metrics and their respective behavior in the system, four states have been identified and characterized. Simulations of various scenarios can be used to demonstrate the use of these metrics for monitoring FMS operations and determining appropriate times for rescheduling and tool reassignment.
机译:在生产环境中,例如柔性制造系统(FMS),计划表可能会受到计划外事件的干扰。机器因重大故障,维护,由于磨损而更换工具或重新分配工具而停止。但是,重新计划过程可能会很昂贵。在这项研究中,已经定义和研究了一种动态的灵活性度量,它有助于确定重新安排FMS的适当时间。灵活性定义为功能和容量的函数。因此,已经开发了两个度量来监视系统中的每台机器的能力和容量效率,以响应动态系统状态。每个指标的值始终保持在0到1之间。能力指标中的值越高,意味着机器之间的机器选择和零件分配策略就越好。容量指标的值越高,表示生产计划中的机器利用率越高。基于度量及其各自在系统中的行为之间的相互作用,已确定并表征了四个状态。各种场景的仿真可用于演示这些度量标准用于监视FMS操作并确定适当的时间以进行重新计划和工具重新分配。

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