摘要
产品质量是是一个企业得以生存的根本,在市场竞争中发挥着重要的作用。随着人们对于产品质量的要求越来越高,企业作为产品的生产者对于产品质量的标准制定也在不断的提高。产品质量依赖于构成产品的原材料和零部件的各级生产过程。现今企业的生产过程越来越复杂,自动化的连续生产模式成为了制造业的发展方向。自动化的连续生产模式强调不同生产环节和阶段的整合和协同,各个节点间存在相互作用和影响的关系。传统的质量控制技术都只关注单级生产过程的质量控制和评价,而没有考虑到前一级生产过程的质量波动对后续生产过程的影响和监控的有效性。在实际应用中,传统的质量控制图发出了警告,但是生产过程的操作者无法及时的判断多级生产过程的哪一部分出现了错误,这就会使得过程错误无法及时消除,过程错误在生产过程之间不断的传递,导致过程错误扩大、质量控制成本的增加。特别是自动化程度高的行业,可能出现控制图频繁报警,使得多级生产过程中的质量控制难以进行。因此,传统质量控制需要从单一生产过程拓展为整个生产过程的控制和优化。但是要是对整个生产过程进行全局的质量控制,由于多级生产过程质量特性众多,如果对每一个质量特性都进行监控,这样会造成的控制成本高昂、生产效率低下等一系列问题。在这种情况下,只有识别出多级生产过程的关键质量特性,然后对于关键质量特性进行质量控制。
本文提出产品的生产过程是一个系统的过程,每个生产过程不是单独存在的,在进行质量控制的时候要考虑生产过程之间的传递关系,以便更快和更准确的找出过程错误的出现的位置。以往对于产品的质量特性的识别研究,并没有对产品的不同生产过程进行区分,没有具体的分析多级生产过程中上下游生产过程之间质量特性的传递关系。本文首次提出了多级生产过程应分为串联、并联和网状三种结构形式,并对三种不同结构形式的多级生产过程的传递关系进行了阐述,然后使用结构方程模型建立多级生产过程质量特性的关系模型,通过质量特性关系模型阐述不同生产过程质量特性的传递关系,最终可识别出多级生产过程中的关键质量特性。
The product quality is fundamental to an enterprise, and plays an important role in the market competition. With the increasingly high demand for product quality, the product quality standards are constantly improving. Product quality depends on the raw materials and components constituting the product. Nowadays the product needs increasingly complex production process, so automated continuous production mode becomes the direction of the development of the manufacturing sector. Automated continuous production model emphasizes the integration and synergy of different production processes, interaction and impact of the relationship between the various processes. The traditional quality control techniques are only concerned about the quality control and evaluation of the single-stage production process, without taking into account fluctuations in the quality of the upstream production process downstream production process. The traditional quality control charts issue a warning, but the operator of the production process cannot be timely determine which part of the multi-stage production process error has occurred. This will make the process error unable to eliminate, and the process errors constantly passed between the production processes, resulting in process error expansion, the increase in the cost of quality control. In particular, the high degree of automation industry, control charts may appear frequent alarms. This will lead to a multi-stage production process quality control is difficult to play a role. Therefore, the traditional quality control needs to expand from a single production process for the entire production process. The quality characteristics of multi-stage production process are too many. If the enterprise controls every quality characteristic, this will cause the control of the high cost and low production efficiency. In this case, the enterprises only identify key quality characteristics of multi-stage production process in order to conduct quality control. Previous studies for the identification of the key quality characteristics, They do not have a specific analysis of the transfer relationship between multi-stage production process quality characteristics. This paper described the transitive relation of the three different structures multi-stage production process, and then establishing a relational model of the multi-stage production process quality characteristic.Though this model describes the different production process quality characteristics transitive relation, and ultimately this method can identify the key quality characteristics of the multi-stage production process.
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