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首页> 外文期刊>International Journal of Production Research >Threshold-based method for elevating the system's constraint under theory of constraints
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Threshold-based method for elevating the system's constraint under theory of constraints

机译：约束理论下基于阈值的系统约束提升方法

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摘要

The principal tenet of theory of constraints (TOC) is that there is at least one constraint in each system that limits the ability of achieving higher levels of performance relative to its goal. Maximum utilisation of the constraint leads to maximum output of the system. However, activation of a non-constraint resource at 100% of its capacity does not increase output. Therefore, some resources are not fully utilised. In this paper, the authors use the left capacity of a non-constraint resource (NC) to elevate the system's constraint. It is assumed that the capacity-constrained resource (CCR) is a continuous time Markov process having a two-dimensional state space. The work in the NC is interruptible, allowing a worker in the NC to switch to CCR. The switch from NC to CCR would occur when the queue of waiting parts in the CCR becomes 'too long' and vice versa, when there are few parts in the CCR. Returning to the NC from the CCR may require some 're-orientation time' on the part of the switched worker. The goal is to find the maximum output of CCR subject to the time-average number of workers in the NC must be greater than a pre-specified value.
机译：约束理论（TOC）的主要原则是，每个系统中至少有一个约束会限制相对于其目标实现更高性能水平的能力。约束的最大利用导致系统的最大输出。但是，以其容量的100％激活非约束资源不会增加输出。因此，某些资源没有得到充分利用。在本文中，作者使用非约束资源（NC）的剩余容量来提升系统的约束。假定容量受限资源（CCR）是具有二维状态空间的连续时间马尔可夫过程。 NC中的工作是可中断的，允许NC中的工人切换到CCR。当CCR中等待零件的队列变得“太长”时，就会发生从NC到CCR的切换，而当CCR中的零件很少时，反之亦然。从CCR返回NC可能需要转换工作人员的“重新定向时间”。目的是要找到NCR的最大输出，该输出取决于NC中工人的时间平均数必须大于预先指定的值。

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