Factors Associated with Production Input Difference of a Manufacturing Plant in Sri Lanka: A Case Study

K.P.D.Y.M. Thiwanthika, R. Abeygunawardana, R. Munasinghe
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Abstract

Abstract The supply chain is a system of organizations, peoples, activities, information, and resources involved in moving a product or service from supplier to customer. As the whole supply chain is linked together, any inconsistency in one link can badly affect the overall supply chain. Each organization in the supply chain has its own internal individual supply chains. The internal supply chain is mainly based on the production demand and material supply to the production. Any inconsistency between the demand and the supply, directly affects the status of internal supply chain. Only few studies have been done on internal supply demand variance, and this study is one of the few approaches into this area. The main objective of this study is to identify the factors associated with production input difference of a manufacturing plant. This is an explanatory research, which is done using appropriate sampling methods and Vector Auto regressive (VAR) modeling. Eviews (7.0.0.1) version is used to analyze the data. First of all the data has been checked for stationary property and the related lag length has been selected. Then the VAR modeling techniques has been applied and later the diagnostic tests have been performed on the resulted models. In briefing the results, it is stated that style of the product (Style) does not impact the input variance models or downtime models. Considering input variance models, it is found that downtime at lag 1 does not have any impact on the input variance. Furthermore, the previous day input variance has a significant impact to the next day input variance. The style and previous day downtime influence the demand variance only in special cases. As heteroskedasticity is present in some of the models, exponential & power transformations have been done in order to avoid heteroskedasticity. But the results do not dramatically change due to transformations. Keywords: Factors, Internal Supply Chain, Manufacturing Plant, Vector Auto Regressive
斯里兰卡某制造工厂生产投入差异的相关因素研究
供应链是将产品或服务从供应商转移到客户所涉及的组织、人员、活动、信息和资源的系统。由于整个供应链是联系在一起的,任何一个环节的不一致都会严重影响整个供应链。供应链中的每个组织都有自己内部的独立供应链。内部供应链主要以生产需求和对生产的物资供应为基础。需求和供给之间的任何不一致,都会直接影响到内部供应链的状态。关于内部供需差异的研究很少,本研究是进入这一领域的为数不多的方法之一。本研究的主要目的是找出制造工厂生产投入差异的相关因素。这是一项解释性研究,采用适当的抽样方法和向量自回归(VAR)模型。使用Eviews(7.0.0.1)版本进行数据分析。首先对数据进行平稳性检查,并选择相应的滞后长度。然后应用VAR建模技术,并对得到的模型进行诊断检验。在简要介绍结果时,说明了产品的风格(风格)不会影响输入方差模型或停机时间模型。考虑输入方差模型,发现滞后1的停机时间对输入方差没有任何影响。前一天的输入方差对第二天的输入方差有显著的影响。风格和前一天的停机时间仅在特殊情况下影响需求方差。由于在某些模型中存在异方差,为了避免异方差,已经进行了指数和幂变换。但结果不会因转型而发生显著变化。关键词:要素,内部供应链,制造工厂,向量自回归
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