The process capability analysis aims at measuring the capability degree of the process
distribution in meeting the specification limits. Process capability indices are used to indicate …

Quality control processes are very important for monitoring applications where the aim is to
identify special causes of variation and improve quality and productivity. However, in many …

Process capability indices (PCIs) provide numerical measures on whether a process
conforms to the defined manufacturing capability prerequisite. These have been …

In quality control, we may confront imprecise concepts. One case is a situation in which
upper and lower specification limits (SLs) are imprecise. If we introduce vagueness into SLs …

Process capability indices are numerical tools that quantify how well a process can meet
customer requirements, specifications or engineering tolerances. Fuzzy logic is incorporated …

In some practical applications, the quality of a process or a product is characterized by a
relationship, namely a profile between a response variable and one or more explanatory …

In this study, a process control criterion was extended based on intuitionistic fuzzy
information in cases where the underlying population is normal with intuitionistic fuzzy mean …

Such as other statistical problems, we may confront with uncertain and fuzzy concepts in
quality control. One particular case in process capability analysis is a situation in which …

Fuzzy process capability indices are used to determine whether a production process is
capable of producing items within fuzzy specification tolerance. In this paper we test a fuzzy …

This paper presents two approaches for testing quality to make adecision based on the
extended process capability indices. Common methodsin measuring quality of the …