참고문헌 (20)

1. Ahn, Namsu, Sangwon Park, Jongmok Chae, Youngwoo Lee and Byeongin Oh. 2013. Suggestion of Using Defense Quality Score based on Taguchi Loss Function in Korea Defense Area. Journal of the Korean Society for Quality Management 41(3):443-456. https://doi.org/10.7469/JKSQM.2013.41.3.443 

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2. Albright, T. L. and P. R. Roth. 1992. The Management of Quality Costs: An Alternative Paradigm. Accounting Horizons 6:15-27. 

3. Amihud Dotan Mordechai I. Henig. 1993. The Value of Multiple Testing in Cost Variance Investigation. Management Accounting Research 4(3):217-229. 

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4. Chung, Jong Hee and Yong Bin Lim. 2020. Efficient Designs to Develop a Design Space in Mixture Response Surface Analysis. Journal of the Korean Society for Quality Management 48(2):269-282. 

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5. Dittman, David A. and Prem Prakash. 1978. Cost Variance Investigation: Markovian Control of Markov Processes. Journal of Accounting Research 16(1):14-25. 

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6. Dittman, David and Prem Prakash. 1979. Cost Variance Investigation: Markovian Control versus Optimal Control. The Accounting Review 54(2):358-373. 

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7. Kim, M. W. and W. M. Liao. 1994. Estimating Hidden Quality Costs with Quality Loss Functions. Accounting Horizons 8:8-18. 

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8. Kim, Sang-Ik. 1999. A Performance Measure for Parameter Design with Several Quality Characteristics. Journal of Korean Society for Quality Management 27(3):67-78. 

9. Kwon, Oh-Hun, Koo, Pyung-Hoi, and Kwon, Hyuck-Moo. 2016. Taguchi-based Robust Design for the Footwear Outsole Pelletizing machine cutter. Journal of the Korean Society for Quality Management 44(4):935-949. 

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10. Oz, E. and A. Reinstein. 1995. Investigation of Cost Variances: A Contrast Between the Markovian and Fuzzy Set Approaches to Accounting Decision Making. in P.H. Siegel, De Korvin and K. Omer, eds. Applications of Fuzzy Sets and the Theory of Evidence to Accounting, Greenwich, Connecticut: JAI Press Inc. 

11. Pai, Hoo Seok and Chae Kwan Lim. 2020. An Analytical Approach to Derive the Quality Loss Function with Multi-characteristics by Taguchi's Quality Loss Concept. Journal of Korean Society for Quality Management 48(4): 535-552. https://dx.doi.org/10.7469/JKSQM.2020.48.4.535 

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12. Pai, Hoo Seok and Chung, Myung Hwan. 1995. The Determination and Evaluation of Optimal Control Limits for Variance Investigation in the Agency Model. Korean Accounting Review 20(2):1-24. 

13. Pai, Hoo Seok. 1991. Determination of Optimal Control Limits in the Variance Investigation Decision Model. The Journal of Business and Economics 7:187-197. 

14. Robert P. Magee and John W. Dickhaut. 1978. Effects of Compensation Plans on Heuristics in Cost Variance Investigations. Journal of Accounting Research 16(2):294-314. 

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15. Srivastava, R. P. and Liping Liu. 2003. Applications of Belief Functions in Business Decisions: A Review. Information Systems Frontiers 5(4):359-378. 

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16. Taguchi, G. 1986. Introduction to Quality Engineering: Designing Quality into Products and Processes. Tokyo: Asian Productivity Organization. 

17. Taguchi, G. 1987. System of Experimental Design. Dearborn, Michigan: American Supplier Institute. 

18. Taguchi, G. and D. Clausing. 1990. Robust Quality. Harvard Business Review (January-February):65-75. 

19. Tong, Seung Hoon. 1991. Parameter Design under Multiple Performance Characteristics. M.S. Thesis, Dept. of Industrial Engineering, Korea Advanced Institute of Science and Technology. 

20. Zebda, A. 1984. The Investigation of Cost Variances: A Fuzzy Set Theory Approach. Decision Sciences, 15:359-388. 

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