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On an Economic Lot Sizing Model Subject to Two Imperfect Key Production Subsystems

机译:具有两个不完善关键生产子系统的经济批量模型

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This paper considers an Economic Production Quantity (EPQ) model where a product is to be manufactured in batches on an imperfect production system over an infinite planning horizon. During a production run of the product, the production system is dictated by two unreliable key production subsystems (KPS) that may shift from an in-control to an out-of-control state. Suppose the production system is subject to three independent sources of shocks. A shock from source 1 causes the first KPS to shift. As a result, a fixed α percentage of defective items will be produced after the KPS has shifted. It occurs at a random time U1 following an exponential distribution with a mean 1/ λ1. A shock from source 2 causes the second KPS to shift. This leads to a fixed β percentage of defective items to be produced after the KPS has shifted into the out-of-control state. It occurs at a random time U2 following an exponential distribution with a mean 1/λ2 ? Finally, a shock from source 3 will result in both KPS's to shift into the out-of-control state. Consequently, a fixed 8 percentage of defective items will be produced. It occurs at a random time U12 following an exponential distribution with a mean 1/λ12- Hence, we can define a random variable X representing the time-to-shift of the first key component satisfies X = min(U1, U12) while another random variable Y representing the time-to-shift of the second key component satisfies Y = min(U2, U12). The objective is to determine a production cycle time that minimizes the expected total cost per unit time including setup, inventory carrying, and defective costs. A solution approach of finding a near-optimal solution is provided.
机译:本文考虑了经济生产量(EPQ)模型,其中在无限的计划范围内,在不完善的生产系统上分批生产产品。在产品的生产运行期间,生产系统由两个不可靠的关键生产子系统(KPS)决定,这些子系统可能会从控制中状态转变为失控状态。假设生产系统受到三个独立的冲击源。源1的电击会导致第一个KPS移动。结果,在KPS转移之后,将产生固定百分比的次品。它在平均值为1 /λ1的指数分布之后的随机时间U1发生。源2发出的冲击会导致第二个KPS移动。这导致在KPS进入失控状态后,将产生固定百分比的次品。它在平均值为1 /λ2?的指数分布之后的随机时间U2发生。最后,来自源3的冲击将导致两个KPS都进入失控状态。因此,将产生固定的8%缺陷项目。它在平均值为1 /λ12的指数分布之后的随机时间U12处发生。因此,我们可以定义一个随机变量X来表示第一个关键分量的移动时间满足X = min(U1,U12),而另一个表示第二键分量的移动时间的随机变量Y满足Y = min(U2,U12)。目的是确定一个生产周期时间,以最小化每单位时间的预期总成本,包括设置,存货和缺陷成本。提供了一种寻找近似最优解的解决方法。

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