Role of quick setups on quality control in the Mexican maquiladora industry

Authors

Keywords:

Manufacturing industry, Quick changeover, Small lote production, Quality control

Abstract

Quick changeover in a production line facilitates the manufacture of small lots and a wide variety of products, where several variables must be controlled to optimize this process. This article presents a structural equation model relating three lean manufacturing tools as independent latent variables: quick setups, small lot production, and uniform production level, which are related to optimize a response variable: quality control. The variables are linked through six hypotheses and validated with the partial least squares technique that is integrated into the WarpPLS 6.0 software. The model is validated with data from 220 responses to a questionnaire applied to the manufacturing industry in northern Mexico. Findings indicate that a quick changeover guarantees small lots, better customization of standardized products, and an appropriate quality for the customer by optimizing the production and delivery time.

 

Author Biographies

Jorge Luis García-Alcaraz, Universidad Autónoma de Ciudad Juárez

Dr. Garcia-Alcaraz has a bachelor’s degree in industrial engineering, a master’s degree in industrial engineering sciences, a PhD in Industrial Engineering Sciences, a PhD in Innovation in Product Engineering and Industrial Process, a PhD in Sciences and Industrial Technologies and a Post doctorate in manufacturing process. He is a National Researcher level 2 recognized by Mexican National Council of Science and Technology (CONACYT), expert in lean manufacturing methodologies and advanced manufacturing technologies. He has 14 years of experience in manufacturing industry and his main research areas are related to Multicriteria decision making applied to lean manufacturing, production process modeling and statistical inference. He is founding member of the Mexican Society of Operation Research and active member in the Mexican Academy of Industrial Engineering.  Currently, Dr. Garcia is working with research groups from Colombia, Spain and Dominican Republic. Dr. Garcia is author/coauthor in around 100 papers published indexed in the Journal Citation Reports, more than 150 international conferences and congress around the world. Dr. Garcia is author of several books published by international publishers as Springer and IGI Global, all then related to lean manufacturing and its tools and techniques.  ORCID: 0000-0002-7092-6963, Scopus Author ID: 55616966800.

Liliana Avelar-Sosa, Universidad Autónoma de Ciudad Juárez

Liliana Avelar-Sosa Liliana Avelar-Sosa has a bachelor’s degree in Electronic Engineering, a master’s degree in industrial sciences, a PhD in Engineering Sciences. She is a National Researcher level 1 recognized by National Council of Science and Technology in Mexico, expert in logistics and supply chain aspects applied to manufacturing companies. She has experience in maquiladora industry and, currently she has published papers in JCR journals as a first author, she has attended international and national congress and conferences. Currently she is an APICS member in the El Paso / Juarez chapter.

Downloads

Published

2020-01-01

How to Cite

Díaz-Reza, J. R., García-Alcaraz, J. L., & Avelar-Sosa, L. (2020). Role of quick setups on quality control in the Mexican maquiladora industry. International Journal of Combinatorial Optimization Problems and Informatics, 11(1), 26–39. Retrieved from https://ijcopi.org/ojs/article/view/152

Issue

Vol. 11 No. 1 (2020)

Section

Articles

Most read articles by the same author(s)