Abstract | ||
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Every year 2.3 million people die worldwide due to occupational illnesses and accidents at work. By analyzing the workers' behavior when in the presence of risks managers could assign tasks to those workers who appear to be the most sensitive to risk being assigned and are thus more likely to exert more caution in the presence of that risk. This paper presents a novel multiobjective formulation of... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TSMC.2017.2665349 | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
Keywords | Field | DocType |
Sensitivity,Personnel,Human factors,Companies,Training,Phase change materials,Genetic algorithms | Mathematical optimization,Computer science,Risk analysis (business),Fuzzy logic,Operations research,Multi-objective optimization,Sorting,Exploit,Assignment problem,Analytic hierarchy process,Genetic algorithm | Journal |
Volume | Issue | ISSN |
48 | 8 | 2168-2216 |
Citations | PageRank | References |
1 | 0.40 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Beatrice Lazzerini | 1 | 715 | 45.56 |
Francesco Pistolesi | 2 | 14 | 3.93 |