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首页> 外文期刊>International journal of technology and human interaction >Applying Metaheuristics to Minimize Work- Related Musculoskeletal Disorders
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Applying Metaheuristics to Minimize Work- Related Musculoskeletal Disorders

机译：应用元启发式方法最大程度地减少与工作相关的肌肉骨骼疾病

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摘要

>This article covers the topic of planning and organization of work, which is 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. These adjustments to decision-making regarding the characteristics of a new larger workforce is a challenge for human resource managers and researchers working to provide well-being and quality of life improvements for employees. The problem of work-related musculoskeletal disorders, coupled with the aging of the active population, may increase the number of citizens with permanent disabilities. Given the complexity and uniqueness of the problems, a decision support system that uses some metaheuristic approaches is presented. The result is a hybrid approach that gives the best solution according to several parameters defined by the decision-maker. Computational results of real problem instances are presented, proving that in most cases, the optimal solution is achieved.
机译：>本文涵盖了工作的计划和组织主题，这是最大的问题之一，即根据定义和表征每个人的特征在人力和技术资源之间建立最合适的分配。对新员工队伍的特征做出的决策调整对人力资源经理和研究人员来说是一项挑战，他们致力于为员工提供幸福感和生活质量的改善。与工作有关的肌肉骨骼疾病的问题，再加上活跃人口的老龄化，可能会增加永久残疾公民的数量。考虑到问题的复杂性和独特性，提出了使用一些元启发式方法的决策支持系统。结果是一种混合方法，可以根据决策者定义的几个参数提供最佳解决方案。给出了实际问题实例的计算结果，证明了在大多数情况下都能获得最佳解决方案。

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