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Volume 2018, Article ID 7374307, 10 pages
Research Article

Measuring the Complex Construct of Macroergonomic Compatibility: A Manufacturing System Case Study

1Department of Industrial Engineering, Instituto Tecnológico de Tijuana, Calzada del Tecnológico S/N, 22414 Tijuana, BC, Mexico
2Department of Industrial Engineering, Autonomous University of Ciudad Juarez, Ciudad Juárez, CHIH, Mexico

Correspondence should be addressed to Arturo Realyvásquez; xm.ude.anaujitcet@zeuqzavylaer.orutra

Received 12 September 2017; Revised 26 November 2017; Accepted 28 December 2017; Published 24 January 2018

Academic Editor: Rosario Domingo

Copyright © 2018 Arturo Realyvásquez and Aide A. Maldonado-Macías. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Macroergonomic compatibility (MC) refers to the extent to which macroergonomic factors and elements (MFEs) interact positively with humans. It is one of the most complex constructs to measure in work systems and in ergonomics. The goal of this paper is to determine the levels of MC in a manufacturing system. As methods, we use the macroergonomic compatibility index (MCI) and the Macroergonomic Compatibility Questionnaire (MCQ). The MCQ was administered in its three versions (i.e., worker version, expert version, and medical department version) to collect data about the macroergonomic practices implemented in the manufacturing company. Regarding results, all the macroergonomic factors and most of the macroergonomic elements showed a low level of MC; that is, MCI < 0.7. Only macroergonomic elements Education, Knowledge, and Skills reached a medium level; namely, MCI = 0.709. The factor with the highest level of MC was the Person factor (MCI = 0.328). Similarly, the whole manufacturing system showed a low level of MC. In conclusion, the studied manufacturing company requires urgent macroergonomic interventions. Also, we found that the MCI can effectively measure the level of MC of MFEs and can guide the implementation of macroergonomic practices (MPs) and explain the MC construct.