- Flux d'actualités
- Colloques internationaux
- Usine du futur
- Appel à communications
Massive recalls in the automotive industry : using quality noms and Six Sygma methodology to preserve reputation
Submitted by Lara Abril Chiu, UNAM unam on 1 avr. 2016 - 11:54
Type de publication:Conference Paper
Source:Gerpisa colloquium, Puebla (2016)
The automotive industry throughout the years has seen the result of design failures which result in massive recalls, fatal crashes for the victims and high costs in compensation debt to victims, law suits and loss of reputation for auto makers such as Toyota, GM and Honda (Bloomberg, 2015, DeMeter, 2012, General Motors, 2014 and NBC News, 2014). For more than two decades, Mexico`s companies and automakers, have enrolled in the process of certifying their processes in quality norms based on International Standards, such as ISO 9000. Notwithstanding, although most organizations comply with this certification requirements, few have managed to elevate their quality levels and produce products defect free (Miranda, 2007). Although there are different quality tools and statistical methods, to control quality, it is clear that these are not providing the expected results. Organizations that use Six Sigma methodology do apply a wide variety of quality tools in their projects, but less than 50% of these have had a significant financial result (Johnson, 2009; Yudi y Osada, 2010). The research question of this study to be found, was there a significant relationship between: the use of quality tools and their mathematical level of the multinational companies that produce auto parts in Cd. Juarez, Chihuahua? This research attempts to answer which are the Six Sigma quality tools used and the level of mathematical difficulty in different auto parts organizations in Cd. Juarez, Chihuahua Mexico. An exploratory, non-experimental, quantitative, correlational and transversal study was performed. The populations under study were men and women that work in medium multinational sized companies. Participants were chosen that had experience implementing Six Sigma, process experts and employees in the areas of quality, production, and engineering. Participants such as Black Belts, Green Belts were included. A convenience sample was used for this study since the researcher had no direct access to the enterprises. Engineering students from the Technical University of Ciudad Juarez facilitated reaching out to the companies since they perform a four month internship. This study was performed during the whole year of 2014. The results of this study would not be generalized to the whole population, since it was not chosen at random. The results showed there exists a significant relationship between the use and the degree of difficulty in mathematics of Six Sigma quality tools
, the Chi square Pearson value was equal to 6,452 with a value of p = 0,011. The Six Sigma quality tools that are most used do have a high degree of difficulty more than the ones that are easy to use in a 30% to 15% respectively. With an alpha value of α =0.05, and the p value of Chi Square of Pearson 0,011which is less than 0.05, then there exists a significant relationship between the degree of mathematics and the use of Six Sigma quality tools. The Six Sigma tools used to improve quality may enable organizations to choose those that are most effective to improve their quality level and at the same time produce significant financial results.
New biblio entries
Voir aussi (bibliographie par firme)
Perspectives de déploiement du VE et conséquences industrielles : des limites socio-économiques et technologiques au développement?
Journée du Gerpisa
Journée du Gerpisa
Regards Nord-Sud sur l'automobile en ville : quelles articulations entre taux de motorisation et innovations de service ?
Journée du Gerpisa
Appel à communication
25th Gerpisa International Colloquium 2017 - Paris (Cachan) : R/Evolutions. New technologies and services in the automotive industry
Colloque du Gerpisa