Frontiers in Statistical Quality Control
3790803812
9783790803815
Description:
Like the first two volumes, published in 1981 and 1984 and met with a lively response, the present volume is collecting contributions stressed on methodology or successfull industrial applications. The papers are classified under two main headings; sampling inspection and process quality control. Among the papers dealing with sampling inspection, Liebesman analyzes the forthcoming ISO Standard for attribute skip-lot sampling, and v. Collani derives an alpha-optimal version of the Military Standard 105 D. Schneider and Wilrich have a strong case against cost optimal Bayesian sampling plans. Ohta and Furukawa deal with a new approach for calculating the operating characteristic of sequential sampling plans by attributes. Prematurely terminated sequential life tests for Military Standard 781 C are introduced by Derman, Lieberman and Schechner. Baillie extends the univariate methods for sampling inspection by variables to the multivariate case. A sampling inspection system for incoming batches based on relational databases is discussed by Lenz. The second group of papers deals with process quality control and continuous inspection. Ladany comes with a practical example of the engagement of a mini robot in process quality control . Shahani and Senna give some basic results for a two test scheme for the detection of failure of a production process, and Bergman suggests a control chart which is an improvement of an acceptance control chart. Montgomery, Gardiner and Pizzano discuss some practical aspects of the use of CUSUM charts and geometric moving average control charts, Wadsworth and Wasserman present a modified CUSUM procedure as a continuous sampling scheme, and Rendtel uses a generalized CUSUM-scheme to control the percent defective of a continuous production process. Heuristic economical designs for and R control charts are proposed by Saniga. Arnold designs and compares control charts based on the minimax principle. Woodall shows that the usually ignored statistical performance of economically optimal control charts can often be greatly improved. Murugesan and Hassan investigate the design of interrelated manufacturing and quality systems for multistage nonserial production.
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