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Determination of Quality Cost Policy under Multiple Assignable Causes  

김계완 (한양대학교 산업공학과)
김용필 (한양대학교 산업공학과)
박지연 (한양대학교 산업공학과)
윤덕균 (한양대학교 산업공학과)
Publication Information
Journal of Korean Society of Industrial and Systems Engineering / v.26, no.1, 2003 , pp. 7-16 More about this Journal
Abstract
At present, company has to produce a product that consumer like with a competitive price, a good quality, and a fitting time to supply. Process control and quality control are very important to supply with a product uniformly and inexpensively. Process control is given much weight in the quality control in manufacturing system. Statistical process controls(SPC) that are used in process generally have major impact on manufacturing, product design activities, and process development potentially. Control charts in statistical process control method can be interpreted the data from quality characteristics in production process and discriminated between chance variation and assignable variation in process. In addition, control chart can be used to monitor the process output and detect when changes in the inputs are required to bring the process back to an in-control state. The models that relate the influential inputs to process outputs help determine the nature and magnitude of the adjustments required. In this paper, the characteristic of product quality is monitored by control chart during the machining process and construction of quality control cycle is considered to divide into two types in this case that different assignable causes lead to shifts having different magnitudes. Then we are intended to find a process shift magnitude which has economical quality cost policy and are considered to quality cost functions to find a process shift magnitude. Those costs are categorized into the well-known categories of prevention, appraisal, and internal failure and external failure. This paper ends with numerical examples that demonstrate the usefulness of the model.
Keywords
Statistical process control(SPC); Quality Cost; Assignable Cause;
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