"Lean Six Sigma application to improve a human resources process: A case study in a commercial and service company in Mexico"

Luz María Valdez de la Rosa*, Daniela Garza Gutiérrez, Paulina Hoyos Benítez

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The integration of the Lean and Six Sigma methodologies has become a business strategy for the manufacturing, services and public sectors, due to it improves productivity and competitiveness of companies. The present research presents an application of both methodological approaches in a human resources process in a company of the commercial and services sector in Nuevo León, Mexico. The case study shows the improvement of the lead time of the recruitment and selection process with the support of quality and lean tools, using the DMAIC methodology. Also this research presents a viable solution proposal to reduce time and variability of the recruitment and selection process and its results of implementation. Through this application of Lean Six Sigma methodology for an administrative process in human resources, the company improves its performance indicators to satisfy the demand of recruiting personal required.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Industrial Engineering and Operations Management
PublisherIEOM Society
Pages1262-1263
Number of pages2
Volume2018
EditionJUL
Publication statusPublished - Jul 2018
Event2nd European International Conference on Industrial Engineering and Operations Management.IEOM 2018 -
Duration: 26 Jul 201827 Jul 2018

Publication series

NameProceedings of the International Conference on Industrial Engineering and Operations Management

Conference

Conference2nd European International Conference on Industrial Engineering and Operations Management.IEOM 2018
Period26/7/1827/7/18

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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