The primary objective of this study is to propose and verify a new synergistic prediction-
based multivariate process quality control (MPQC) approach for manufacturing processes …

A serial manufacturing system generally consists of multiple and different dedicated
processing stages that are aligned sequentially to produce a specific end product. In such a …

A common problem generally encountered during manufacturing process improvement
involves simultaneous optimization of multiple 'quality characteristics' or so-called …

To solve multiple response optimization problems that often involve incommensurate and
conflicting responses, a robust interactive desirability function approach is proposed in this …

Abstract Design of process parameters to meet the required specification of quality
characteristics has become a crucial issue for many industries. The underlying relationships …

The performance of healthcare systems has always been a significant concern of policy
makers. Performance in healthcare systems is assessed by multiple criteria, and it is a …

This paper presents an adaptive crossover genetic algorithm with simulated annealing
metaheuristic procedure for solving a multimode resource-constrained project scheduling …

Purpose The purpose of this paper is to develop a new easy-to-implement distribution-free
integrated multivariate statistical process control (MSPC) approach with an ability to …

This study considers a response surface methodology (RSM) variation in which a response
has multiple central tendencies (MCTs) that can have multiple influences on a sheet metal …

This paper aims is devoted to modeling and simulation of electric field created by EHV
power transmission line of 275 kV using an efficient hybrid methodology, the charge …