基于制造过程数据的生产成本计算方法

G. Krzesniak
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引用次数: 1

摘要

摘要本文的目的是根据标准的SPC控制图评价,提出并讨论了基于制造过程中收集的数据的生产成本计算程序。它被用作一种工具来支持制造过程的持续改进,并通过降低生产成本来提高盈利能力。研究方法-该研究使用了对成本分析及其建模问题的文献综述的结果。关键因素是主要的成本组成部分,但也包括那些被认为不太重要但可能具有总体决定性的因素。提出了应用统计过程控制作为一种数据收集方法进行成本建模,以改善整体成本结构。原创性/价值-研究中提出的考虑因素可能是确定生产成本关键组成部分的基础。所提出的仿真模型允许确定主要的质量成本因素。反过来,这应该允许定义寻找产品成本优化的主要方向,以达到预期的成本和质量水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Production Cost Calculation Approach Based on Data Collected During Manufacturing Process
Abstract The aim of the article is to present a proposal and discuss the production cost calculation procedures based on data collected during manufacturing process, according to standard SPC control chart evaluation. It is applied as a tool to support the process of continuous improvement of the manufacturing process and improve profitability by reducing the cost of production. Research methodology - the study uses the results of a literature review on the issue of cost analysis and their modeling. Key elements are the main cost components, but also those that are considered less important and may be overall decisive. Application of Statistical Process Control - as a method of data collection for cost modeling to improve overall cost structure is proposed. Originality / value - the considerations presented in the study may be the basis for determining the key components of the cost of production. The proposed simulation model allows for the determination of the main quality cost factors. This, in turn, should allow to define the main directions of searching for the optimization of the product cost in order to achieve the expected level of cost and quality.
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