Determination of Performance Indicators For Cooking Oil Logistic Using Fuzzy-Delphi Method

Putri Hidayati Nur
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Abstract

Logistic issues are still become a serious matter for Indonesian society. This problem should be seriously considered by Indonesia. Many sectors that support logistic growth should be arranged properly in order to increase the value of performance of logistic in Indonesia. Agriculture sector is one of the sectors that has important role in national development integration. Unfortunately, production growth for this sector is still relatively low compared to some other sectors with value 1.85%. One of the agricultural sectors in Indonesia was palm oil plantations that produces cooking oil. Currently, Indonesia was suspected by having problems on the cooking oil distribution. Cooking oil distribution margins are tending to increase, while margin is one of the efficiency indicators in distribution system. The increasing of distribution margin indicates that the distribution of the commodity is inefficient. Thus, we need to improve efficiency and effectiveness in all logistics activities. The issue is, what are the relevant indicators to manage the logistics of cooking oil in an effort to improve the efficiency and effectiveness. Determination of performance indicators can be done by getting the opinion and consensus of the experts who understand the logistics of cooking oil. The method used is the Delphi method that will integrated with fussy method. The method is called Fuzzy-Delphi method.
用模糊德尔菲法确定食用油物流绩效指标
物流问题仍然成为印尼社会的一个严重问题。印度尼西亚应该认真考虑这个问题。支持物流增长的许多部门应适当安排,以增加印尼物流绩效的价值。农业部门是国家发展一体化中具有重要作用的部门之一。不幸的是,与1.85%的其他行业相比,该行业的产量增长仍然相对较低。印尼的农业部门之一是生产食用油的棕榈油种植园。目前,印尼被怀疑在食用油流通方面存在问题。食用油配送边际有增大的趋势,而配送边际是配送系统的效率指标之一。分配边际的增大表明商品的分配是低效的。因此,我们需要提高所有物流活动的效率和效果。问题是,有哪些相关指标来管理食用油物流,努力提高效率和效益。绩效指标的确定可以通过获得了解食用油物流的专家的意见和共识来完成。所采用的方法是将德尔菲法与弗斯法相结合的方法。该方法称为模糊德尔菲法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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