Title of article :
Functional process capability indices for nonlinear profile
Author/Authors :
Mohammad pour Larimi, Ahmad Department of Industrial Engineering - Mazandaran Institute of Technology, Babol, Iran , Nemati Keshteli, Ramezan Faculty of Engineering - Guilan University, Iran , Safaei, Abdul Sattar Department of Industrial Engineering - Babol University of Technology, Babol, Iran
Abstract :
A profile is a relationship between a response variable and one or more
independent variables being controlled during the time. Process Capability
Indices (PCI) are measured to evaluate the performance of processes in
producing conforming products. Despite frequent applications of profile and
a variety of available methods to monitor its different types, little researches
have been carried out on determining capability indices of profile process.
PCIs such as P C and PK C in profile state, are used to evaluate process
capability in producing conforming profiles. This paper presents a functional
approach for nonlinear profiles which usually expressed as nonlinear
regression. Thus, functions such as pertaining technical specification limits,
mean and natural tolerance limits are determined as nonlinear profiles and
also functional limit is applied to determine Functional Capability Indices
(FCI) P C and PK C of functional nonlinear profile. Easy calculation and the
ability to calculate FC in each period and at each point are from the
advantages of this method over the other methods.
Keywords :
Profile monitoring , vertical density profile , functional process capability index , non-linear profile
Journal title :
Astroparticle Physics