模糊-马达尼法测定母粒产量

Fikri Radiansyah, W. O. Widyarto
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引用次数: 1

摘要

根据2013年1月至2013年12月Bukit Surya Mas工厂的需求数据,每个月的需求、供应和消费产量都在增加。随着需求,供应和最大生产结果的发生,武吉Surya Mas总是努力确保订购的生产数量能够按时完成。这样做是为了让客户满意,这样就不会因为产品的延迟交付而缺少对消费者的生产服务。世界上出现的问题往往包含不确定性,模糊逻辑是分析包含不确定性的系统的一种方法。在这项研究中,Mamdani方法或通常也称为最小-最大方法。得到输出的系统设计分为(a)模糊集的形成,(b)隐含函数的应用,(c)规则的形成,(d)确认(去模糊化)阶段。本研究采用质心法进行去模糊化。在该方法中,去模糊化值平滑移动,因此模糊集的变化也会平滑移动。从已开展的研究结果来看,以下是2014年1月输入变量的母粒产品,即总需求量150,735.00 kg,总库存24,785 kg,产量20,300个单位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determination of the Amount of Masterbatch Production Using the Fuzzy-Mamdani Method
Based on demand data from January 2013 to December 2013 at PT. Bukit Surya Mas there is an increase in demand, supply and amount of consumer production every month. With the occurrence of demand, supply and maximum production results PT. Bukit Surya Mas always tries to ensure that the amount of production ordered can be completed on time. This is done as a way to give satisfaction to customers, so that there will be no shortage of production services to consumers just because of the late delivery of the product. Problems that arise in this world often contain uncertainty, fuzzy logic is one method for analyzing systems that contain uncertainty. In this study the Mamdani method or often also known as the Min - Max method. The design of the system to get the output is done in stages (a) the formation of the fuzzy set, (b) the application of the implication function, (c) forming the rules, (d) affirmation (defuzzification). In this study defuzzification was carried out using the centroid method. In this method the defuzzyfication value moves smoothly, so changes in the fuzzy set will also move smoothly. From the results of the research that has been carried out, the following is the Masterbatch product from the input variable in January 2014, namely the total demand of 150,735.00 kg and the total inventory of 24,785 kg resulting in an output of 20,300 units.
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