손실함수를 적용한 공정평균 이동에 대한 조정시기 결정Determination of the Resetting Time to the Process Mean Shift by the Loss Function
- Other Titles
- Determination of the Resetting Time to the Process Mean Shift by the Loss Function
- Authors
- 이도경
- Issue Date
- 2017
- Publisher
- 한국산업경영시스템학회
- Keywords
- Process Mean Shift; Quality Loss Function; Canning Process; Wear Limit
- Citation
- 한국산업경영시스템학회지, v.40, no.1, pp.165 - 172
- Journal Title
- 한국산업경영시스템학회지
- Volume
- 40
- Number
- 1
- Start Page
- 165
- End Page
- 172
- URI
- https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/1158
- ISSN
- 2005-0461
- Abstract
- Machines are physically or chemically degenerated by continuous usage. One of the results of this degeneration is the process mean shift. Under the process mean shift, production cost, failure cost and quality loss function cost are increasing continuously.
Therefore a periodic preventive resetting the process is necessary. We suppose that the wear level is observable. In this case, process mean shift problem has similar characteristics to the maintenance policy model. In the previous studies, process mean shift problem has been studied in several fields such as ‘Tool wear limit’, ‘Canning Process’ and ‘Quality Loss Function’ separately or partially integrated form. This paper proposes an integrated cost model which involves production cost by the material, failure cost by the nonconforming items, quality loss function cost by the deviation between the quality characteristics from the target value and resetting the process cost. We expand this process mean shift problem a little more by dealing the process variance as a function, not a constant value. We suggested a multiplier function model to the process variance according to the analysis result with practical data. We adopted two-side specification to our model. The initial process mean is generally set somewhat above the lower specification. The objective function is total integrated costs per unit wear and independent variables are wear limit and initial setting process mean. The optimum is derived from numerical analysis because the integral form of the objective function is not possible. A numerical example is presented.
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