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Price: EUR 250.00Authors: Ionica, Andreea | Leba, Monica
Article Type: Research Article
Abstract: BACKGROUND: The work system is defined by its components, their roles and the relationships between them. Any work system gravitates around the human resource and the interdependencies between human factor and the other components of it. Researches in this field agreed that the human factor and its actions are difficult to quantify and predict. OBJECTIVE: The objective of this paper is to apply a method of human actions evaluation in order to estimate possible risks and prevent possible system faults, both at human factor level and at equipment level. METHODS: In order to point …out the importance of the human factor influence on all the elements of the working systems we propose a fuzzy logic based methodology for quality evaluation of human actions. This methodology has a multidisciplinary character, as it gathers ideas and methods from: quality management, ergonomics, work safety and artificial intelligence. RESULTS: The results presented refer to a work system with a high degree of specificity, namely, underground coal mining and are valuable for human resources risk evaluation pattern. CONCLUSIONS: The fuzzy logic evaluation of the human actions leads to early detection of possible dangerous evolutions of the work system and alarm the persons in charge. Show more
Keywords: Work system, human factor, risk, MatLab simulation
DOI: 10.3233/WOR-152012
Citation: Work, vol. 51, no. 3, pp. 611-620, 2015
Authors: Anand, Yogesh K. | Srivastava, Sanjay | Srivastava, Kamal
Article Type: Research Article
Abstract: BACKGROUND: In labor-intensive manufacturing units, workers in general subject themselves to extreme work conditions due to economic reasons and are exposed to high risk of occupational health hazard (RoOHH). OBJECTIVE: We design and implement a methodology for assessment and minimization of RoOHH while maintaining workers' earnings. METHODS: Proposed method, consisting of two phases, employs a job-combination strategy (JCS) wherein workers doing a high risk job (HRJ) also perform a low risk job (LRJ) having undergone sufficient training on it within their scheduled work day thereby reducing their exposure to HRJ. Phase 1, called `composite …discomfort score with factor rating' (CDSwFR), assesses RoOHH for different job-combination schedules while phase 2, called evolutionary multiobjective optimization with JCS (EMOwJCS), finds out schedules which simultaneously optimizes CDS and earnings of HRJ workers doing a LRJ as well. Method is demonstrated with a case study in a brick manufacturing unit. RESULTS: Risk assessment method is verified using real life data. Results of minimization of RoOHH provide a huge flexibility to supervisors to choose a suitable schedule considering CDS and earnings of workers, while meeting production targets. CONCLUSION: A unifying method amalgamating CDS wFR and EMOwJCS in a unique way turns out to be a powerful scheme without losing its simplicity. Show more
Keywords: Risk assessment, job-combination strategy, multiobjective optimization
DOI: 10.3233/WOR-141937
Citation: Work, vol. 51, no. 3, pp. 621-632, 2015
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