The importance of access to information and knowledge coordination on quality and economic benefits obtained from Six Si
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The importance of access to information and knowledge coordination on quality and economic benefits obtained from Six Sigma Jorge Luis Garcı´a-Alcaraz1 Julio Blanco-Ferna´ndez2
Francisco Javier Flor Montalvo2 • Liliana Avelar-Sosa1 • Emilio Jime ´nez-Macı´as3 •
•
Marı´a Mercedes Pe´rez de la Parte3 •
Springer Science+Business Media, LLC, part of Springer Nature 2019
Abstract This paper presents a structural equation model that relates knowledge coordination with access to information in the process of implementing Six Sigma and their impact on the quality and economic benefits obtained. The model integrates four latent variables (knowledge coordination and access to information as independent variables; quality benefits and economic benefits as dependent variables), that are intertwined by five hypotheses validated statistically through the partial least squares technique using data from 301 responses to a survey applied in the maquiladora industry. Findings suggest that to obtain benefits associated with product quality, information and knowledge acquired from Six Sigma, projects must be carefully saved, managed, and analysed with appropriate statistical techniques applied by green and black belts. However, to obtain economic benefits, the information and knowledge must be transformed into benefits associated with quality such as reduction in delivery time, reduction of customer complains and compliance with standards demanded by the customer. Keywords Decision support systems Six Sigma Knowledge coordination Information management Economic benefits
1 Introduction & Jorge Luis Garcı´a-Alcaraz [email protected] Francisco Javier Flor Montalvo [email protected] Liliana Avelar-Sosa [email protected] Marı´a Mercedes Pe´rez de la Parte [email protected] Julio Blanco-Ferna´ndez [email protected] Emilio Jime´nez-Macı´as [email protected] 1
Department of Industrial Engineering and Manufacturing, Autonomous University of Ciudad Juarez, Av. Del Charro 450 Norte, 32310 Ciudad Jua´rez, Cihuauhua, Mexico
2
Department of Mechanical Engineering, University of La Rioja, C/San Jose´ de Calasanz 31, 26004 Logron˜o, La Rioja, Spain
3
Department of Electrical Engineering, University of La Rioja, C/San Jose´ de Calasanz 31, 26004 Logron˜o, La Rioja, Spain
Six Sigma (SS) is a methodology focused on the improvement of production processes by reducing their variability; therefore, it always seeks to minimize the number of defects in the final product [1]. In addition, the main objective of SS is to reach a maximum of 3.4 defects per million opportunities. However, because that level of variability is not easily achieved in the production processes, it may serve as a reference for many companies based on which to set their objective. For that reason, SS is sometimes considered a philosophy [2]. To achieve its main goal, SS is based on statistical techniques (e.g. total quality management and statistical process control) that are al
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