Abstract

In the planning and organization of work, one of the biggest problems is to establish the most appropriate allocations between human and technical resources, according to the characteristics that define and characterize each individual. Taking into account the demographic changes of recent years, the largest labor force will tend to age, so it is urgent and essential to ensure the sustainability of the subsequent society. Adjusting the decision-making to the characteristics of this new larger workforce is a challenge for human resource managers and researchers, in order to provide well-being and quality of life for employees. The problem of musculoskeletal disorders related to work (MSDs), coupled with the aging of the active population, may increase the absenteeism and the number of citizens with permanent disabilities. Given the complexity and uniqueness of the problems, a decision support system that uses some non-populational metaheuristics approaches is presented. The result is a hybrid metaheuristic that gives us the best solution according to several parameters defined by the decision maker. It is also presented some computational results of real problem instances, proving that in the most cases, the optimal solution is achieved.

Full Text
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