New Risk Methodology Based on Control Charts to Assess Occupational Risks in Manufacturing Processes

Occupational Safety and Health 5.0—A Model for Multilevel Strategic Deployment Aligned with the Sustainable Development Goals of Agenda 2030

The concept of Industry 4.0 (I4.0) is evolving towards Industry 5.0 (I5.0), where the human factor is the central axis for the formation of smart cyber-physical socio-technical systems that are integrated into their physical and cultural host environment. This situation generates a new work ecosystem with a radical change in the methods, processes and development scenarios and, therefore, in the occupational risks to which safety science must respond. In this paper, a historical review of the evolution of work as a complex socio-technical system formalised through Vygostky’s theory of Activity and the contributions of safety science is carried out, for its projection in the analysis of the future of complex systems as an opportunity for safety research linked to the current labour context in transformation. Next, the Horizon 2020 strategies for Occupational Safety and Health (OSH) at the European level are analysed to extract the lessons learned and extrapolate them towards the proposed model, and subsequently the conceptual frameworks that are transforming work and Occupational Risk Prevention (ORP) in the transition to Industry 4.0 are identified and reviewed. Finally, a model is formulated that formalises the deployment of public policies and multi-level and multi-scale OSH 5.0 strategies within the framework of the Sustainable Development Goals (SDGs) of the United Nations (UN) for Horizon 2030.

Fermatean fuzzy TOPSIS-based approach for occupational risk assessment in manufacturing

The importance of risk assessment in the context of occupational health and safety by manufacturing operators strengthens their hands in solving the problems they may encounter in business processes related to health and safety. One of the most important phases of conducting an exhaustive occupational risk assessment is to analyze potential hazards and associated risks quantitatively. Since manufacturing is one of the industries that require workers to be highly exposed to work, creating a safer environment to reduce occupational injuries is an important task. This study proposes a novel fuzzy risk assessment approach developed by integrating Fermatean fuzzy sets (FFSs) and technique for order preference by similarity to ideal solution (TOPSIS) method for ranking potential hazards in manufacturing. FFSs are a new version of fuzzy set theory that covers the intuitionistic fuzzy sets and Pythagorean fuzzy sets. This version of the fuzzy set is crucial in the decision-making process to handle uncertain information more easily and reflect uncertainty better. A linguistic scale under Fermatean fuzzy documentation has also been developed for experts/decision makers to disclose their judgments easily. Occupational risk analysts can benefit from this approach since FFSs are used for the first time in occupational risk assessment, and the approach is presented in integration with TOPSIS. The proposed approach is applied in the aluminum plate-manufacturing process risk assessment. In the conclusion of the implementation, risks arising in the production are prioritized. In addition, this study made comparisons with other fuzzy methods to demonstrate the proposed approach’s difference and practicality. This study’s results can support practitioners and risk analysts in formulating the improvement measures to increase the safety of the work environment further.

Analysis and Characterization of Risk Methodologies Applied to Industrial Parks

It is important to evaluate the risks in industrial parks and their processes due to the consequences of major accidents and especially the domino effect. Scientific works present a wide possibility of models to deal with these situations. In this work, based on the information extracted from the scientific literature, six groups of risk methodologies are defined, analyzed, and characterized with methods that cover the standards, preventive, probabilistic, traditional, modern, and dynamic evaluation that are applied or could be used in industrial parks. It also tries to achieve the objective of determining which are more appropriate if the possible situations and causes that can produce an accident are taken into account, identifying and evaluating them with characteristics of simultaneity and immediacy, determining the probability of an accident occurring with sufficient advance in time to avoid it under the use of a working operational procedure. There is no definitive methodology, and it is necessary that they complement each other, but considering the proposed objective, the integrated application of traditional methodologies together with the management of safety barriers, the dynamic evaluation of risks, and the inclusion of machine learning systems could fulfill the proposed objective.

Special Issue of the Manufacturing Engineering Society 2019 (SIMES-2019)

The Special Issue of the Manufacturing Engineering Society 2019 (SIMES-2019) has been launched as a joint issue of the journals "Materials" and "Applied Sciences". The 29 contributions published in this Special Issue of Materials present cutting-edge advances in the field of manufacturing engineering focusing on additive manufacturing and 3D printing, advances and innovations in manufacturing processes, sustainable and green manufacturing, manufacturing of new materials, metrology and quality in manufacturing, industry 4.0, design, modeling, and simulation in manufacturing engineering and manufacturing engineering and society. Among them, these contributions highlight that the topic "additive manufacturing and 3D printing" has collected a large number of contributions in this journal because its huge potential has attracted the attention of numerous researchers over the last years.