Modeling the Causal Relationship Among Variables that Influencing the Capability of Dairy Supply Chain in Indonesia

A. Susanty, N. B. Puspitasari, A. Bakhtiar, N. Susanto, David Kurnia
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引用次数: 2

Abstract

The primary object of this research is to explain and demonstrate the complex structure that links each variable within the dairy milk supply chain in Indonesia through the causal loop diagram (CLD). Referring to the structure of the National Model developed by Forrester (1989), there were six CLDs which belong to six sub-systems used to describe the relationship between variables in the dairy supply chain. The first CLD belong to population and consumption sub-system. The second until sixth CLD belong to milk production sub-system, dairy cattle sub-system, dairy cattle population sub-system, dairy farmer’s income sub-system, and government sub-system. According to CLD, there are minimal one important drivers in each sub-system. The findings in this paper put forward some important issues that require for running the full simulation of some proposed scenarios.
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影响印尼乳制品供应链能力的变量间因果关系建模
本研究的主要目的是通过因果循环图(CLD)来解释和展示印度尼西亚乳制品供应链中每个变量的复杂结构。参考Forrester(1989)开发的国家模型的结构,有六个cld,它们属于六个子系统,用于描述乳制品供应链中变量之间的关系。第一类CLD属于人口与消费子系统。第2 ~ 6个CLD分别为产奶量子系统、奶牛数量子系统、奶牛数量子系统、奶农收入子系统和政府子系统。根据CLD,每个子系统中至少有一个重要的驱动程序。本文的研究结果提出了一些重要问题,这些问题需要对所提出的一些情景进行全面模拟。
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