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Comparison between economic order/manufacture quantity and just-in-time models from a thermodynamics point of view

机译:从热力学角度比较经济订单/制造数量与即时模型

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Just-In-Time (JIT) suggests that inventory is a waste and should be reduced. However, under some conditions, smaller and more frequent shipments can generate more waste, consume more resources and increase congestion in a supply chain rendering the JIT policy less effective. This paper first modifies the standard economic manufacture quantity (EMQ) models by including within them the costs of transportation, worker stress, process quality, energy, and greenhouse gas emissions. Then, it uses the second law of thermodynamics to calculate the entropy generated in the modified EMQ and JIT models, using entropy as a measure of system sustainability. To make the comparison meaningful, the EMQ model is modified to capture some of the costs that will work for and against EMQ and JIT. The modification then adds an entropic component to the cost functions of EMQ and JIT to capture the costs of disorder (entropic) that classical inventory analyses seldom include. The results show that when worker stress and entropy costs are considered, a JIT policy can be more expensive to operate than an EMQ policy.
机译:即时(JIT)建议库存是一种浪费,应减少库存。但是,在某些情况下,较小且更频繁的装运会产生更多的浪费,消耗更多的资源并加剧供应链中的拥挤状况,从而使JIT政策的有效性降低。本文首先通过在其中包括运输成本,工人压力,过程质量,能源和温室气体排放来修改标准经济制造数量(EMQ)模型。然后,它使用热力学第二定律来计算在改进的EMQ和JIT模型中生成的熵,并使用熵作为系统可持续性的度量。为了使比较有意义,对EMQ模型进行了修改,以捕获将对EMQ和JIT有利和不利的一些成本。然后,修改将熵成分添加到EMQ和JIT的成本函数中,以捕获经典清单分析很少包含的无序(熵)成本。结果表明,考虑到工人的压力和熵成本,JIT策略的操作成本可能比EMQ策略高。

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