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首页> 外文期刊>International journal of production economics >Estimating The Cost Of Vertical High-speed Machining Centres, A Comparison Between Multiple Regression Analysis And The Neural Networks Approach
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Estimating The Cost Of Vertical High-speed Machining Centres, A Comparison Between Multiple Regression Analysis And The Neural Networks Approach

机译：估计立式高速加工中心的成本，多元回归分析与神经网络方法的比较

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This paper focuses on the machine-tool selection problem, which consists of choosing the most suitable machine to satisfy the needs of a manufacturing company. The final decision affects the performance of the production system. Selecting an inadequate machine can negatively affect the company's results. For this reason, this is an important process that may imply some difficulties for the decision-maker. The objective of this work was to develop a cost model for vertical high-speed machining (HSM) centres based on machine characteristics. It is important to determine the cost of the machine tool, which is based on the tool's characteristics and needs to satisfy both the buyer and the manufacturer. In order to determine the main machine specifications associated with machine cost, a preliminary analysis was conducted with entry-level vertical HSM centres. As a result, two models were developed: one from the buyer's point of view and the other from the manufacturer's point of view. The cost estimation models were developed using two different techniques: multiple regression analysis (MRA) and artificial neural networks (ANN). The paper then examines the performance of the models, and compares the models' outputs to determine which model offers the best results. Cost estimation is important to determine the machine costs that adapt best to the characteristics of manufacturing factories. The correlation obtained by the multilayer ANN models is better than the one obtained by MRA. Applying the proposed cost models will help the user (engineers or machine manufacturers) to determine the approximate machine cost based on its characteristics when they select a vertical HSM centre.
机译：本文关注的是机床选择问题，该问题包括选择最合适的机床以满足制造公司的需求。最终决定会影响生产系统的性能。选择不适当的机器可能会对公司的业绩产生负面影响。因此，这是一个重要的过程，可能会给决策者带来一些困难。这项工作的目的是根据机器特性为立式高速加工（HSM）中心开发成本模型。确定机床的成本很重要，这要基于机床的特性以及满足买主和生产商的需求。为了确定与机器成本相关的主要机器规格，对入门级垂直HSM中心进行了初步分析。结果，开发了两种模型：一种是从买方的角度来看，另一种是从制造商的角度来看。成本估算模型是使用两种不同的技术开发的：多元回归分析（MRA）和人工神经网络（ANN）。然后，本文检查了模型的性能，并比较了模型的输出以确定哪个模型提供了最佳结果。成本估算对于确定最适合制造工厂特征的机器成本很重要。多层ANN模型获得的相关性优于MRA获得的相关性。应用建议的成本模型将帮助用户（工程师或机器制造商）在选择垂直HSM中心时根据其特征确定近似的机器成本。

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