Simultaneous Economic Selection of a Variables and an Attribute Target Mean

F.J. Arcelus · M. A. Rahim

25 citations0/0 files storedJournal of Quality Technology

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Advanced Statistical Process Monitoring Management and Optimization Techniques Optimal Experimental Design Methods

Abstract

The purpose of this paper is to develop a model for simultaneously selecting the optimal target means for both a variables and an attribute quality characteristic. The objective is to maximize the expected profit per item. The expected profit per item depends on the revenue, the production cost, and the cost of maintaining the desired quality level. Optimality conditions are derived for the two target mean settings, from which a computational algorithm is constructed. A numerical example is provided to illustrate the application of the model.

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References

1989Taguchi Techniques for Quality Engineering 1989Taguchi Techniques for Quality Engineering 1986Weaknesses of The Economic Design of Control Charts 1985The Statistical Design of Quality Control Charts 1977Determining the Most Profitable Target Value for a Production Process 1984Economic Selection of Quality Manufactured Product 1987Determination of the Best Mean Contents for aCanning Problem 1984Determining the Most Profitable Process Level for a Production Process under Different Sales Conditions

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2012Optimal selection of process mean for a stochastic inventory model 2006Determination of the optimum target value for a production process with multiple products 2006Joint optimization in process target and tolerance limit for L -type quality characteristics 1999DETERMINATION OF AN OPTIMAL SETTING AND PRODUCTION RUN USING TAGUCHI'S LOSS FUNCTION 2006Joint optimization of process target mean and tolerance limits with measurement errors under multi-decision alternatives

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