Coefficient Determination of Multivariate Quality Loss Model

Abstract

Abstract: The quality loss model proposed by Genichi Taguchi in the early 1970s is based on the absolute deviation and it is a oneorder model. However, in practice, product quality is affected by multiple factors with correlation. Thus, in this paper, the Taguchis quality loss model is expanded in considering the relative deviation of the quality indices. First, a 2order multivariate quality model is presented. Then, this model is successfully extended to models with 3 or even higher order. The 2order model is then simplified to build a multivariate quality loss model. A method is proposed to determinate the coefficients in the model. Detailed procedure for the method is described.

Key words: Taguchi quality loss model, simulation, quality control

Fan Shuhai1, Amanda Elizabeth2. Coefficient Determination of Multivariate Quality Loss Model[J]. Industrial Engineering Journal , 2012, 15(3): 80-82.

References

［1］Taguchi Genichi. Quality engineering［M］. Beijing: China Translation and Publishing Corporation，1985：12. ［2］Routara B C, Mohanty S D, Datta S, et al. Combined quality loss (CQL) concept in WPCAbased Taguchi philosophy for optimization of multiple surface quality characteristics of UNS C34000 brass in cylindrical grinding［J］. International Journal of Advanced Manufacturing Technology,2010,51(1-4):135-143. ［3］Chen ChungHo, Chang WanLin. Optimal design of expected lifetime and warranty period for product with quality loss and inspection error［J］. Expert Systems with Applications,2010,37(4):3521-3526. ［4］Fan Shuhai. Studies on grey theory based intelligent methods and their applications to MCMQC［D］. Beijing:Tsinghua University,2004:6. ［5］Zhang Gongxu. New quality management［M］. Beijing: Higher Education Press,1998. ［6］樊树海, 肖田元. 多元产品质量损失模型的建立与仿真［J］.工业工程与管理, 2008,13(2):51-55. Fan Shuhai,Xiao Tianyuan.The simulation of multivariate product quality model［J］.Industrial Engineering and Management,2008,13(2):51-55. ［7］Morita Maiko, Arizono Ikuo, Takemoto Yasuhiko. Variable sampling inspection plans with screening for assuring average outgoing surplus quality loss limit indexed by Taguchi’s loss［J］. International Journal of Advanced Manufacturing Technology, 2009,41(9-10):908-915. ［8］Zhu Mingquan. Artificial neural network approach of quality control for intelligent manufacturing system［J］. Acta Aeronautica et Astronautica Sinica,1997,18(5):603-606. ［9］Niaki S T A,Davoodi M. Designing a multivariate multistage quality control system using artificial neural networks［J］. International Journal of Production Research,2009,47(1):251-271. ［10］Marengo Emilio, Longo Valentina, Robotti Elisa. Development of calibration models for quality control in the production of ethylene/propylene copolymers by FTIR spectroscopy, multivariate statistical tools, and artificial neural networks［J］. Journal of Applied Polymer Science,2008, 109(6):3975-3982.

[1]	LI Guangzhen, XU Zhigang, LIU Songkai, REN Zhaohui. Simulation Procedure for Assembly Line and its Case Study [J]. Industrial Engineering Journal, 2021, 24(5): 152-158.
[2]	LIAO Zhihua, LIU Jianjun, CHEN Qingxin, MAO Ning. Performance Simulation of Load-based Paired-cell Overlapping Loops of Cards with Authorization [J]. Industrial Engineering Journal, 2021, 24(4): 100-111.
[3]	LI Sihan, MO Chaoxiong, LIU Jianjun, CHEN Qingxin, MAO Ning. Proactive Scheduling of Multi-location Final-assembly Operations with Uncertain Material Kitting Time [J]. Industrial Engineering Journal, 2021, 24(3): 104-114.
[4]	PENG Hui, ZHAO Ning, SUN Yangjun. A Digital Twin System Orienting Robotic Mobile Fulfillment System [J]. Industrial Engineering Journal, 2021, 24(3): 121-129.
[5]	LIU Jiaqi, LIU Jicai, LEI Xiaoying. Evolution Game and Simulation on Government Incentive and Social Capital Effort in PPP Project [J]. Industrial Engineering Journal, 2021, 24(2): 77-84.
[6]	LI Junting, ZHENG Mingzhu, SAI Yunxiu. A Simulation Research on Intervention of Strategies in Construction Workers' Unsafe Behaviors [J]. Industrial Engineering Journal, 2021, 24(1): 111-116.
[7]	LI Feng, YU Han. A Study of Dynamic Pricing and Entry Timing Joint Decision for Imitative Enterprise [J]. Industrial Engineering Journal, 2020, 23(5): 11-21,95.
[8]	ZENG Chuifei, LIU Jianjun, CHEN Qingxin, MAO Ning. A Comparative Study of the Algorithm of Assembly Job Shop Lot Streaming Scheduling [J]. Industrial Engineering Journal, 2020, 23(4): 174-182.
[9]	XIONG Guoqiang, LEI Jiaye. Emergency Evacuation Model and Simulation Analysis of Urban Metro Passenger Flow Based on Emergency Events [J]. Industrial Engineering Journal, 2020, 23(3): 99-106.
[10]	CHEN Jinbiao, CHEN Qingxin, MAO Ning, PENG Chengfeng, YU Ailin. A Layout Optimization of a Manufacturing Cell with Testing Process [J]. Industrial Engineering Journal, 2020, 23(3): 107-114,131.
[11]	ZHAO Huijuan, JIANG Pansong, HUANG Wencong. Improvement of Image Sensor Quality Inspection Method Based on Image Recognition Algorithm [J]. Industrial Engineering Journal, 2020, 23(3): 115-122.
[12]	MAO Yalan, ZHANG Jin. An Emergency Evacuation Method of Rail Transit Station Considering Passengers' Incomplete Rational Behavior [J]. Industrial Engineering Journal, 2020, 23(3): 138-144,153.
[13]	LIU Hongwei, HU Qi, XU Ran, WANG Mingjie. Single Process Scheduling of One Intelligent RGV Based on Linear Reciprocating [J]. Industrial Engineering Journal, 2020, 23(2): 34-40.
[14]	FAN Dingxiang, LI Chonglian. A Research on Quality Control Strategy of Online Shopping Products from the Perspective of Supply Chain [J]. Industrial Engineering Journal, 2020, 23(1): 104-111.
[15]	JI Mengzhong, HE Da, QIU Mengning, HUANG Yihuai, PENG Jun, XIANG Wei. A Simulation of Appointment Decision under Peak Arrival [J]. Industrial Engineering Journal, 2020, 23(1): 134-142.