ANALYSIS OF THE POLICY OF OPTIMIZING THE DURATION OF ORDER COLLECTION IN CONDITIONS OF RANDOM FLUCTUATIONS IN DEMAND

V. Zaruba, Iryna Parfentenko
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Abstract

At most industrial enterprises, current production volumes are set in accordance with the adopted policy of operating activity. This policy sets out the rule for deciding on production volumes based on information about orders received for products, losses that may occur and the volume of demand in future periods. An analysis of operating activity policies, which are most often used by industrial enterprises in random fluctuations in demand, shows that their use is accompanied by certain losses. They occur due to either partial downtime or excessive use of production capacity. In these circumstances, it is of interest to apply a policy of optimizing the duration of the collection of orders, according to which the amount of orders collected over several periods of time is evenly distributed over these periods during the execution of orders. But at the same time there is a risk of losing orders if the execution time of orders is very high. The aim of the work was to develop and analyze a model for optimizing the duration of order collection under conditions of their full execution and arbitrary laws of distribution of the probability of demand intensity (volume of orders). In the results of research, mathematical description of the expected operating effect is found depending on arbitrary statistical characteristics of demand intensity and the effect of reducing the intensity of demand in the case of increasing the duration of the collection of orders. The algorithm proposed by us allows us to find the probability functions of the average values of demand intensity for several units of time according to the data on the probability of the values of demand intensity for one period of time. The general content of the numerical method of optimizing the duration of order collection according to the criterion of the maximum expected operational effect for a single period of time is presented. The advantages of the policy of optimizing the duration of order collection, which consist in a more uniform intensity of the production process, reduction of losses from downtime and excessive capacity utilization, are shown.
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需求随机波动条件下的订单收集时间优化策略分析
在大多数工业企业,目前的产量是根据所采用的经营活动政策确定的。该政策规定了根据收到的产品订单、可能发生的损失和未来时期的需求量等信息决定产量的规则。对工业企业在需求随机波动时最常使用的业务活动政策的分析表明,使用这些政策会带来某些损失。它们是由于部分停机或过度使用生产能力而发生的。在这些情况下,应用优化订单收集持续时间的策略是有意义的,根据该策略,在执行订单期间,在几个时间段内收集的订单数量均匀分布在这些时间段内。但与此同时,如果订单的执行时间非常高,则存在失去订单的风险。这项工作的目的是开发和分析一个模型,在充分执行订单和需求强度(订单量)概率的任意分布规律的条件下,优化订单收集的持续时间。在研究结果中,根据需求强度的任意统计特征以及在增加订单收集时间的情况下降低需求强度的效果,找到了期望运行效果的数学描述。我们提出的算法允许我们根据一段时间内需求强度值的概率数据,找到几个单位时间内需求强度平均值的概率函数。给出了以单周期最大预期运行效果为准则优化订单收集时间的数值方法的一般内容。优化订单收集时间策略的优势在于生产过程的强度更均匀,减少了停机损失和产能利用率过高。
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0.00%
发文量
28
审稿时长
27 weeks
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