Statistical process control is an excellent quality assurance tool to improve the quality of manufacture and ultimately scores on end-customer satisfaction. SPC uses process monitoring charts to record the key quality characteristics (KQCs) of the component in manufacture. This paper elaborates on one such KQC of the manufacturing of a connecting rod of an internal combustion engine. Here th...

HIGHLIGHTS ► Twelve entropy indices were systematically compared in monitoring depth of anesthesia and detecting burst suppression.► Renyi permutation entropy performed best in tracking EEG changes associated with different anesthesia states.► Approximate Entropy and Sample Entropy performed best in detecting burst suppression. OBJECTIVE Entropy algorithms have been widely used in analyzing E...

In recent years, some methods have been proposed in solving performance evaluation issues by using fuzzy set theory. In this paper, an improvised method for performance evaluation under fuzzy environment is presented. Fuzzy linguistic variables are used throughout the process and the aggregated fuzzy numbers which are based on the standard score concept are employed in aggregating the fuzzy ass...

Statistical process control is a major part of industrial statistics and consists not only of control charting, but also of capability analysis, of design of experiments and other statistical techniques. This paper reviews and comments some available techniques for the univariate as well as for the multivariate case from the viewpoint of industrial application. 1 Distribution of a Quality Chara...

Supplier selection is a major strategy for manufacture to run the production process smoothly. Supplier categorization, selection and performance evaluation are decisions of strategic importance to companies. Global competition, mass customization, high customer expectations and harsh economic conditions are forcing companies to rely on external suppliers to contribute a larger portion of parts...

Conventional control algorithms used in pH control systems give inefficient performance, leading to use of large mixers. To improve the neutralization control process, an ANFIS based advanced controller has been proposed. In this paper, method of design of adaptive controller based on neurofuzzy technique is presented. The method uses ANFIS methodology to automatically generate fuzzy rule base ...

Mining operations in China are often threatened by frequent water inrushes from confined karst aquifers, We need to evaluate the risk from water-inrush from coal floors in order to have safe production in mines. water inrush risk assessment method based on fuzzy comprehensive evaluation is introduced in this paper. A secondary fuzzy comprehensive evaluation system is constructed to evaluate the...

In the manufacturing industry, many product characteristics are of one-sided specifications. The well-known process capability indices CPU and CPL are often used to measure process performance. Most capability research works have assumed no measurement errors. Unfortunately, such an assumption is not realistic even if the measurement is conducted using highly sophisticated advanced measuring in...

This paper reviews the application of fuzzy theory and its combination with artificial neural-network technology for remote sensing information extraction. A dynamic fuzzy neural-network model is presented for crop heavy metal stress level assessment based on MODIS data. Hyperspectral vegetation indices, including NDVI, EVI and NDVIg, were used as input variables in this model for the purpose o...