HEURISTICS FOR NOISE-SAFE JOB-ROTATION PROBLEMS CONSIDERING LEARNING-FORGETTING AND BOREDOM-INDUCED JOB DISSATISFACTION EFFECTS
2020; Polytechnic Institute of Iasi; Volume: 19; Issue: 8 Linguagem: Inglês
10.30638/eemj.2020.126
ISSN1843-3707
AutoresSun Olapiriyakul, Pavinee Rerkjirattikal, Tisana Wanwarn, Stefano Starita, Van‐Nam Huynh, Thepchai Supnithi,
Tópico(s)Elevator Systems and Control
ResumoIn mitigating occupational hazards, there is often a need to use administrative controls such as job rotation over a prolonged period until the hazards can be eliminated or mitigated to safe levels.This research develops a noise-safe job-rotation optimization model that accounts for learning, forgetting, and boredom effects.Our analysis focuses on the case of human-paced and labor-intensive operations, considering the trade-off between safety and productivity.A case of multi-skilled workers that have heterogeneous skill levels with varying problem sizes is used to demonstrate the model's capabilities.A genetic algorithm and a randomized greedy algorithm are developed and shown to be effective in solving large-scale safe job rotation problems.Our results also show how the boredom and forgetting effects create productivity delays when job rotation is used.
Referência(s)