The human factor is becoming increasingly relevant for its role in industrial development; therefore, it is necessary to evaluate the machine–man–environment system in an integrated and not isolated way, as is commonly done, for evaluating the sustainability performance of manufacturing practices. For this reason, in this paper, an ergonomic triad model is proposed for calculating a novel Sustainable Work Index, (SWI), made up of the factors: human work, workstation design, organizational environment and sustainable environmental conditions. The methodology consists of defining the productive time, interviewing the workers, taking anthropometric measurements, assessing the environmental conditions, obtaining the indicators for each factor, calculating the index and interpreting the results to define improvement actions. The model was applied to a manufacturing industry obtaining a regular status with an index of 63.6%. Improvement actions were implemented, and it was possible to increase the index to 73.9%, which represents a good commitment of the company towards occupational health. The development of the new triad model to calculate the SWI will allow industries to visualize indicators of the interaction of the ergonomic triad, identify its current condition and propose actions to physically, organizationally and environmentally improve human well-being and system performance.

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A method is proposed to improve work performance through an adequate design of the manufacturing cell along with optimal environmental conditions to contribute to the well-being of the worker. The methodology used was divided into four stages: the first corresponds to the analysis of operations; the second is the analysis of the effect of the design of the manufacturing cell; the third is the evaluation of environmental conditions such as lighting, noise, and temperature to compare them with the official standard and determine if they meet the permitted levels; and the fourth is to conclude and recommend improvements to the manufacturing cell. The method was applied in a company in the automotive industry, where a change was made from a linear cell distribution to an L-shaped distribution, with a 50% reduction in workforce and an increase in the productive time of the worker of 49%. Also, the environmental conditions of the cell comply with the requirements of official standards.