Abstract: Background and Objective: The international sugar industry has a current production of 160 million t and requires the improvement of worker productivity to reach its full potential. This cross-sectional study allowed to analyze productivity as perceived by workers and propose a methodology to identify work groups. Materials and Methods: It was designed a measuring instrument with 6 variables, 3 based on constructs of productivity, training and ISO standards as well as three direct variables such as age, age and level of study. Results: We analyzed the productivity variable using structural equations (PLS) with XLSTAT software and used SPSS to measure the reliability of the measuring instrument as well as the integration of working groups using k-means statistics. The optimal group number was three. The variables that determined the integration of homogenous work groups are age, seniority and level of education. Conclusion: Training has a positive relationship with productivity and is a determining factor in selecting work groups, since workers with a better disposition towards training are more productive. The statistical analysis by means of k-means identified an inverse relationship between productivity and seniority, that is as the worker's seniority in the company increases, his productivity decreases. The age and knowledge of the variables of the ISO 22000 standards indicated a minor impact on productivity.