Control charts, lot sampling, process capability and value analysis are oldest problem solving and quality improvement tools which are used even today to deal with high quality lower cost materials in tremendous volume.
(prHWY.com) March 21, 2013 - Spanish Fork, UT -- Control charts, lot sampling, process capability and value analysis are oldest problem solving and quality improvement tools which are used even today to deal with high quality lower cost materials in tremendous volume. When the QS9000 and value analysis are combined together with Six Sigma, it results in more powerful process improvement software methodology. Control charts are used to monitor quality of small production samples measured periodically. The various processes which are involved are planning, getting the data, analyzing the problem, planning the solution, doing it, checking for measuring the change and making modifications as and when needed.
Quality process improvement models assign process owners, form teams and establish process measures. The trilogy involves quality planning, quality control and improvement. A control chart helps to get the process under control. As a basic part of Six Sigma, special causes are removed to improve the process, thereby reducing the variation. Multi-functional teams in value analysis use a formalized process for identifying the alternative materials, and designing to improve function while reducing costs and manufacturing processes.
Plan for value analysis involves pre-study phase which includes collecting customer data, collecting product and processing models, and forming multi-functional team. Study phase includes information phase of data analysis, the function analysis phase of identifying and cost functioning, creative phase of brainstorming ideas, evaluation phase of ranking then developed ideas, development phase of quantifying benefits and planning actions, and presentation of oral reporting and preparing written reports. The post study phase includes completing changes, implementing changes and monitoring changes. Data for quantified decision-making are provided by the structured function diagramming and costing techniques through business process software.
Brainstorming methodology helps in generating ideas in a non-critical, free-flowing process. These ideas are then grouped using affinity diagramming techniques and are refined as needed for practical purposes. Quality circles utilize multi-functional worker and production engineering teams for improving the quality and productivity in a given process. The teams are trained to solve problems by using basic statistical tools for collecting and analyzing data. Flow charts or process mapping software is used to visualize the flow of product or documents through a series of process steps. Getting quantitative data on the effect of key variables in service, production or administrative purposes are emphasized by Six Sigma process improvement. Process improvement solutions are identified and quantified. Key products and services are improved by multi-functional teams. After approval, the implementation plans are made and executed.
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