Production planning in DRC systems considering worker performance

Develops a DRC system with human factors (HFs) and product quality.HFs are: learning, forgetting, fatigue and recovery.System performance is a twofold cost function.Worker flexibility, transfer policy, and workstation configuration affect performance. This paper studies the effects of some human characteristics on production planning in a Dual-Resource Constrained (DRC) system and the quality of products. Human behavior is captured by the learningforgettingfatiguerecovery model (LFFRM). The production process is modeled through a Quality Learning Curve (QLC) model while the quality deficits are the result of human error and machine malfunction. The system performance is presented with a twofold cost function considering direct (time) and indirect (quality) costs. The results indicate that the system performance is concave over a production run, which represents the optimum flexibility level, transfer policy, and the workstation configuration.

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