Anchovy fillets that had undergone osmotic dehydration and response surface methodology (RSM) were used to determine the influence and optimal values of the process variables. Also the optimal processing conditions were determined in order to reduce the solid gain and water loss ratio (SG/WL) and firmnessfor the anchovy fillets. A three-levelcentral composite rotatabledesign (CCRD) involving th...

The cumulative count of a conforming (CCC) control chart is used for high quality processes.The CCC − r chart is an improvement of the CCC chart that is based on the cumulative number of items inspected until observing r non-conforming ones. This paper aims to propose a new approach for manufacturer’s decision making according to the criteria among the available options. The o...

Tolerancing conducted by design engineers to meet customers’ needs is a prerequisite for producing high-quality products. Engineers use handbooks to conduct tolerancing. While use of statistical methods for tolerancing is not something new, engineers often use known distributions, including the normal distribution. Yet, if the statistical distribution of the given variable is unknown, a new sta...

CCC-r control chart is a monitoring technique for high yield processes. It is based on the analysis of the number of inspected items until observing a specific number of defective items.  One of the assumptions in implementing CCC-r chart that has a significant effect on the design of the control chart is that the inspection is perfect. However, in reality, due to the multiple reasons, the...

This paper proposes a multi-objective model for the economic-statistical design of the variable sample size and sampling interval multivariate exponentially weighted moving average control chart by using double warning lines. The Markov chain approach is used to obtain the statistical properties. We extend the Lorenzen and Vance cost function considering multiple assignable causes and multivari...

Cumulative Count of Conforming (CCC) charts are utilized for monitoring the quality characteristics in high-quality processes. Executive cost of control charts is a motivation for researchers to design them with the lowest cost. Usually in most researches, only one objective named cost function is minimized subject to statistical constraints, which is not effective method for economic-statistic...

Control chart is the most well-known chart to monitor the number of nonconformities per inspection unit where each sample consists of constant size. Generally, the design of a control chart requires determination of sample size, sampling interval, and control limits width. Optimally selecting these parameters depends on several process parameters, which have been considered from statistical and...