In some statistical process control applications, the quality of the product is characterized by thecombination of both correlated variable and attributes quality characteristics. In this paper, we propose anovel control scheme based on the combination of two multi-layer perceptron neural networks forsimultaneous monitoring of mean vector as well as the covariance matrix in multivariate-attribu...

In some statistical process control applications, the process data are not Normally distributed and characterized by the combination of both variable and attributes quality characteristics. Despite different methods which are proposed separately for monitoring multivariate and multi-attribute processes, only few methods are available in the literature for monitoring multivariate-attribute proce...

In this research, the decision on belief (DOB) approach was employed to analyze and classify the states of uni-variate quality control systems. The concept of DOB and its application in decision making problems were introduced, and then a methodology for modeling a statistical quality control problem by DOB approach was discussed. For this iterative approach, the belief for a system being out-...

BACKGROUND Quality control (QC) and evaluation of HIV rapid test procedures are an important aspect of HIV prevention trials. We describe QC and performance of two rapid tests, Determine™ and Uni-Gold™ used in a microbicide clinical trial in rural KwaZulu-Natal, South Africa. METHODS/RESULTS Internal QC of both HIV rapid tests was conducted at the trial site using a Uni-Gold control kit (Uni-...

Quality attribute models are proposed as the linkage between a specification of a quality attribute requirement and a design fragment that is focused on achieving that requirement. Each quality attribute model has a collection of parameters that must be specified in order to determine from the model whether a requirement will be met. These parameters can be bound through design decisions, throu...

One solution to process and analysis of massive graphs is summarization. Generating a high quality summary is the main challenge of graph summarization. In the aims of generating a summary with a better quality for a given attributed graph, both structural and attribute similarities must be considered. There are two measures named density and entropy to evaluate the quality of structural and at...

  Multistage process monitoring has recently attracted notable attention in that the statistical relationships between quality variables are taken into account. Here, we dealt with the problem of monitoring and diagnosing a two-stage production process with attribute characteristics in which the outgoing quality variable is impacted by the incoming quality variable from the first process stage....

Number: 025-0620 A New Approach to Design of Fuzzy Multi-Attribute Control Charts by Anjani Kumar, K. V. N. S And Mohapatra, P. K. J Indian Institute of Technology, Kharagpur Department of Industrial Engineering and Management, Kharagpur 721302, India [email protected] (*), [email protected] (**) POMS 23 Annual Conference Chicago, Illinois, U. S. A. April 20 to April 23, ...

quality control plays an important role in increasing the product quality. fuzzy control charts are more sensitive than shewhart control chart. hence, the correct use of fuzzy control chart leads to producing better-quality products. this area is complex because it involves a large scope of industries, and information is not well organized. in this research, we provide a literature review of th...