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由于机械企业所生产的产品具有较强的专用性,因此在企业经营过程中往往以订制化生产为主。在当前市场需求拉动的背景下,机械企业更加关注下游企业的需求。在针对统计数据的质量监控研究中,着重考察企业的生产阶段。在分析影响质量控制的人为因素、产品因素和信息因素后,应在价值层面进行数据逆向分解,精确为C/V下的单位能耗水平,从而确保对质量监管的全过程控制。
As the machinery produced by the product has a strong specificity, it is often in the course of business operations to custom-based production. Driven by the current market demand in the context of machinery companies pay more attention to the needs of downstream businesses. In the research on the quality control of statistics, it focuses on the production stage of enterprises. After analyzing the human factors, product factors and information factors that affect the quality control, the data should be decomposed inversely at the value level, precisely to the unit energy consumption level under C / V so as to ensure the whole process control of quality supervision.