In robust parameter design for blocked experiments, the correlation of response
observations within each block and model parameter uncertainty often impact acquiring …

Purpose: The primary objective of this research is to develop the optimal operating
conditions as well as their associated design spaces for a Cryogenic Submerged Arc …

The paper deals with a problem of robust optimization of mechanical assemblies, which
combines the allocation of tolerances with the selection of dimensional parameters. The two …

Purpose: The purpose of this study was to suggest an improved version of Proof-of-Nonce
(PoN) algorithm, which is a distributed consensus algorithm used for block chain system …

This study focuses on optimizing production parameters within a multi-stage sequential
manufacturing system for the rayon fiber coagulating bath recycle process. It employs …

Purpose The main theme of this study is to derive a specific quality loss function with
multiple characteristics according to the same analytical structure as the single characteristic …

Description: En la actualidad en industria el entorno de operaciones se vuelve cada vez
más complicado, donde los experimentos requeridos para optimización de procesos …

Tolerance analysis problem is a widely studied problem due to its importance in design and
manufacturing. Accordingly, this paper presents a comparative study between Monte Carlo …

The purpose of this study is to obtain a proper set of input variables for replicated response
measured data set by applying dual response strategy in robust framework with multi …