Gladys D.C. Barriga, Linda Lee Ho and Vicente G. Cancho
The purpose of this paper is to present designs for an accelerated life test (ALT).
Abstract
Purpose
The purpose of this paper is to present designs for an accelerated life test (ALT).
Design/methodology/approach
Bayesian methods and simulation Monte Carlo Markov Chain (MCMC) methods were used.
Findings
In the paper a Bayesian method based on MCMC for ALT under EW distribution (for life time) and Arrhenius models (relating the stress variable and parameters) was proposed. The paper can conclude that it is a reasonable alternative to the classical statistical methods since the implementation of the proposed method is simple, not requiring advanced computational understanding and inferences on the parameters can be made easily. By the predictive density of a future observation, a procedure was developed to plan ALT and also to verify if the conformance fraction of the manufactured process reaches some desired level of quality. This procedure is useful for statistical process control in many industrial applications.
Research limitations/implications
The results may be applied in a semiconductor manufacturer.
Originality/value
The Exponentiated‐Weibull‐Arrhenius model has never before been used to plan an ALT.
Details
Keywords
Tiago Ribeiro de Araujo, Daniel Jugend, Marcio Lopes Pimenta, Gessica Mina Kim Jesus, Gladys Dorotea Dorotea Cacsire Barriga, José Carlos de Toledo and Ari Melo Mariano
This study aims to propose and test a research framework for analyzing the relationship between new product development (NPD) best practices and performance in companies that…
Abstract
Purpose
This study aims to propose and test a research framework for analyzing the relationship between new product development (NPD) best practices and performance in companies that belong to innovative industries in Brazil.
Design/methodology/approach
A quantitative survey was conducted, involving several industries, including agricultural machinery, automotive and pharmaceutical. Data was analyzed through multiple linear regression.
Findings
Among the best practices investigated, the main results show that “innovative culture” and “project climate” are factors that significantly affect the performance of the NPD.
Research limitations/implications
The choice of best practices can be considered a major limitation of this study, as this is a dynamic concept depending on a continuous analysis that must take into account the economic and technological environment.
Practical implications
This study highlights a relationship between an innovative culture and performance. Some practices may be adopted to address an innovative culture, such as stimulating employee creativity, acceptance and partnership with external actors for the joint development of technologies and employee involvement with NPD.
Originality/value
The findings expand the debate on best practices in NPD and innovation management by presenting results on the topic in an emerging country, in this case, Brazil.