This paper presents a supervised competitive learning network approach, called a fuzzy-soft learning vector quantization, for control chart pattern recognition. Unnatural patterns in control charts mean that there are some unnatural causes for variations in statistical process control (SPC). Hence, control chart pattern recognition becomes more important in SPC. In order to detect e€ ectively t...

Multivariate control chats are generally used in situations where the simultaneous monitoring or control of two or more related quality characteristics is necessary. In most processes in the real world, distribution of the process characteristics are unknown or at least non-normal, so the non-parametric or distribution-free charts are desirable. Most non-parametric statistical process-control t...

Control charts are widely used in industrial processes as well as in health sciences and particularly for monitoring the performance of cardiac surgeon or a group of surgeons based on the preoperative risk of patients. Since the preoperative risk is a vague and nonprecise variable and the anesthesiologists after checking how many risk factors a patient has, determine the risk of mortality befor...

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, ...

There have been changes since the companies realized important role of quality improvement in their success. If they are able to produce high products and satisfy demands, then can survive competitive global markets. Quality applications aim decrease variability, which leads less cost, production time, number defects, scrap, rework more customer satisfaction. be improved by reducing product var...

a manufacturing process cannot be released to production until it has been proven to be stable. also, we cannot begin to talk about process capability until we have demonstrated stability in our process. this means that the process variation is the result of random causes only and all assignable or special causes have been removed. in complicated manufacturing processes, such as drilling proces...

Statistical process control is a very useful method to improve the product quality and reduce reworks and scraps. In a production environment, control charts are the most important tool to determine whether a process is in-control or out-of-control. Control charts are to detect the occurrence of the shifts in a process rapidly so that their causes can be found and the necessary corrective actio...

The main goal of most organizations, no matter of their nature, object or size, is to be competitive as possible on the market, a crucial factor in ensuring a long operating duration. Unfortunately, the appearance of variation is a very bad and undesirable thing that determine a decrease in the companies productivity. Managing and providing a better view competitiveness can not be given unless ...