Accumulated risk of body postures in assembly line balancing problem and modeling through a multi-criteria fuzzy-genetic algorithm

A genetic algorithm approach to design job rotation schedules ensuring homogeneity and diversity of exposure in the automotive industry

“…As far as exposure is concerned, it is one of the parameters contributing to the fitness function, but with less weight than diversity. In the literature, the cumulative exposure, with different criteria's used between studies, is one of the key factors to evaluate the effectiveness of the job rotation schedule ( Asensio-Cuesta et al., 2012a ; Diego-Mas et al., 2009 ; Hochdörffer et al., 2018b ; Rajabalipour Cheshmehgaz et al., 2012 ; Xu et al., 2012 ). In this study, exposure did not change significantly because its weight was very low when compared to diversity.…”

“…engineering, processes, and product changes on the assembly line), the job rotation plans have been recommended as an organizational measure to reduce the exposure in workplaces to several risk factors and, thus, increase the variability and reduce worker fatigue and monotony ( Jorgensen et al., 2005 ; Rodriguez and Barrero, 2017 ; Yung et al., 2012 ). Within the several solutions found in the literature to optimize job rotation plans, there are mixed-integer programming to upper extremities ( Boenzi et al., 2013 ; Digiesi et al., 2018 ; Xu et al., 2012 ), minimizing net present cost within a lean manufacturing cell ( McDonald et al., 2009 ), multi-criteria fuzzy-genetic algorithms for assembly line balancing ( Rajabalipour Cheshmehgaz et al., 2012 ), and diploid genetic algorithm (GA) in dynamic environments ( Bhasin et al., 2016 ).…”

Optimization of process parameters through fuzzy logic and genetic algorithm – A case study in a process industry

“…Fuzzy and genetic algorithm technique were used in assembly line balancing problem. In this work, fuzzy goal programming has been used to address uncertainties in the conventional criteria and an appropriate genetic algorithm has been developed to deal with the model and results show that well balanced task allocation can be obtained through the proposed model [20]. Finite Element Method and Genetic algorithm approach were applied to optimize the Electric discharge machining parameters.…”

A Genetic Algorithm to Design Job Rotation Schedules with Low Risk Exposure

“…Beyond reported studies, others were found in which the risk assessment was made to reduce the cumulative effect of sequential working tasks on the same body region by using the Rapid Entire Body Assessment (REBA) tool [11]. In [4] the proposed model adds posture diversity to reduce the accumulated risk of body postures. Additionally, a study (2014) with the purpose to reduce repetitive task sequences based on ergonomic, environmental, competence and skill factors was found [8].…”