Explore the vast range of titles available.

Purpose: Identifying possible ergonomic risks generated by the implementation of Lean Manufacturing in organizations. Shows a need to integrate ergonomics and productivity indicators in process analysis, thus giving place to the ErgoVSM methodology, which is VSM (Value Stream Mapping) complemented with ergonomic analysis. Design/methodology/approach: This literature review aims to refer to the methodology and instruments used for its application, as well as the benefits obtained and the challenges that arise when applying it. Findings: This article presents a review of 26 publications regarding the ErgoVSM methodology. The ErgoVSM is mainly based on the VSM methodology developed by Rother & Shook that is most applied in the healthcare sector with ergonomic analysis instruments that focus on the physical and psychosocial factors of the workers. Originality/value: The review revealed that when using ErgoVSM, processes can be improved from the ergonomic perspective without negatively affecting productivity. Even though ErgoVSM requires more time for application compared to VSM, the value of the ergonomic data for decision making in process changes justifies the extra time.

The Integral Ergonomic-Value Stream Mapping (Ergo-VSM) methodology is introduced in this study, which is tailored for the metal-mechanic sector and aims to assess the operational and ergonomic conditions of production processes. The methodology is designed to identify ergonomic risks and propose an improvement plan to increase productivity by integrating ergonomic measurement instruments aligned with official standards and lean manufacturing tools such as VSM and Kaizen. The study, which was conducted in a metal-mechanical MSME (micro, small and medium enterprises), resulted in an 11.8% overall improvement in psychosocial risk factors, a 4.4% increase in productivity with a 1.96-h reduction in cycle time, and a 20% decrease in reported quality rejections. Notably, the study shows that the Integral Ergo-VSM can be implemented in a variety of organizational contexts, ensuring adaptability without jeopardizing the methodology’s core objectives.

As interest in additive manufacturing (AM) continues to increase, it has become more important to have a robust method to help potential users select the AM process that best suits their technological needs while providing the greatest potential benefits in terms of sustainability and its effect on people. This paper presents the development of a framework for selecting the best AM process for a given application by considering both sustainability and human factors through the combination of axiomatic design and the analytic hierarchy process. Thirty-one participants with varying levels of expertise (novice and advanced users) were involved in the study, considering the frequency of 3D printer usage (novice users: never, rarely; expert users: sometimes, almost always, always) for prototyping parts. They employed fused deposition modeling (FDM) and stereolithography (SLA) (both 3D desktop printers) and collected data on five evaluation criteria. The participation of experts helped establish a novel methodology, with material cost deemed most important (49.8%), followed by cycle time (28%), energy consumption (11.7%), error rate (6.6%), and equipment noise (3.9%). The results showed that FDM was the optimal equipment option for advanced users. By examining the information content of the other options, it was found that FDM demanded less information than SLA, regardless of the user’s level of expertise. The proposed method is appropriate to assess the sustainability aspect of FDM and SLA; however, it can be further improved by adding indicators such as environmental impact, recyclability, and ergonomic and occupational health factors.