Abstract:Companies of today must have their processes set in a way to fully use their capacities. It especially means efficient work, slimming of processes, reducing costs on quality but not at the expense of customer satisfaction. Within improving its processes they must carry out such improvements which allow them to eliminate unnecessary waste in the production process. Waste occurs in every enterprise, therefore workers should constantly search for it and eliminate it to increase productivity and reduce costs. In uncovering waste it is important to note the fact that we are searching for issues and not their cause and the guilty party to punish. The ability to identify waste and eliminate its causes may be the source of great improvements. When identifying waste we distinguish between seven types of waste and we use different methods and tools of industrial engineering to eliminate them. Based on many years of experience from organizations analyses conducted through student theses and based on the reconnaissance we carried out within resolving a research task we can state, that they include e.g. 5S, SMED etc.
Assessment of a process capability is an important area of the quality management. Quality of produced outputs depends on the quality of the process, in which product characteristics are formed. In considering the capability of the process, the ability of the process should be determined to provide the required quality of products. The required product quality has to meet customer requirements and expectations. For determination of process capability are used methods, which are based on comparing variability of selected product quality characteristics. The smaller the variability of the input factor is, the better is the process capability and therefore a better quality of product is produced. Improvement of process capability and reducing the variability of the product quality characteristics can be achieved by means of applying of statistical methods. Standards for the quality management system require the need of statistical methods application as well as other tools and techniques for improvement in business practice. It is necessary to use statistical methods in measuring, monitoring and process improvement. So can be determined the process variability, identified common and special causes of variability and in consequence to propose corrective actions. The paper describes first theoretical characteristics of capability assessment methods and tools in continuous improvement in industry praxis. With application of chosen statistical methods has been improved capability of the riveting process of clutch disk.
Six Sigma is one of methodologies of the quality management for the process improvement. It can be used in manufacturing companies, in order to achieve certain criteria established by management or customer requests. Six Sigma is based on the assumption that opportunities for success are hidden in every process and it gives the company a common tool for defining of corporate objectives. Implementation of this methodology lies in the integrated approach in solving the problems of business processes, which can represent significant benefits in production processes as well as various non-production processes. Six Sigma is based on the principle of measuring, monitoring and controlling processes with possible application of statistical methods, different tools and techniques. If the Six Sigma methodology is used properly and rationally, companies can save considerably with this effort the measurable financial resources. Its application leads to a cost reduction in inefficient processes, contributes to the production quality, better performance and to the satisfaction of internal and/or external customers.The objective of the paper is to present base theoretical aspects of Six Sigma framework and its principles. Followed with methodology of Six sigma and in addition is addressed a concrete application for statistical process control of the lacquering process within silencers manufacturing for a company in the automotive industry. The practical contribution of the project provides an improvement of the process, which means to improve the product quality, achieve cost reduction and better customer satisfaction.
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