基于线性回归模型的机电产品再制造费用预测

Estimating for remanufacturing cost of mechanical and electrical products based on linear regression

针对再制造决策者在产品再制造成本发生前无法决策的问题,提出运用线性回归模型,建立产品零部件失效类型信息与产品再制造费用之间的线性关系;基于同类产品零部件失效类型信息以及同类产品再制造费用的统计,对产品的再制造费用进行事前预测,并根据各类零部件的质量属性,对产品再制造的预测费用进行修正,获得相对准确的产品再制造费用预测,并用预测费用与实际费用的相对误差描述再制造费用预测的准确性。

For solving the problems that remanufacturing decision-maker can not make decision be-fore the remanufacturing cost produced,a linear regression model is used to establish the linear relationship between the failure type of parts and the remanufacturing of products.Then the remanufacturing cost is esti-mated based on failure parts information and statistics of the remanufactured cost of the similar products.In order to obtain more accurate estimating,it is necessary to correct the estimating cost based on the mass properties of parts,and to describe the accuracy of the estimating based on the relative error between the estimating cost and the real cost.