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  • Extremal-micro genetic algorithm model for time-cost optimization with optimal labour productivity
    Sivakumar, A. ...
    In a highly competitive manufacturing environment, it is critical to balance production time and cost simultaneously. Numerous attempts have been made to provide various solutions to strike a balance ... between these factors. However, more effort is still required to address these challenges in terms of labour productivity. This study proposes an integrated substitution and management improvement technique for enhancing the effectiveness of labour resources and equipment. Furthermore, in the context of time-cost optimization with optimal labour productivity, an extremal-micro genetic algorithm (Ex-μGA) model has been proposed. A real-world case from the labour-intensive medium-scale bus body fabricating industry is used to validate the proposed model performance. According to the results, the proposed model can optimize production time and cost by 34 % and 19 %, respectively, while maintaining optimal labour productivity. In addition, this study provides an alternative method for dealing with production parameter imbalances and assisting production managers in developing labour schedules more effectively.
    Vir: Strojniški vestnik = Journal of mechanical engineering. - ISSN 0039-2480 (Vol. 67, no. 12, Dec. 2021, str. 682-691)
    Vrsta gradiva - članek, sestavni del
    Leto - 2021
    Jezik - angleški
    COBISS.SI-ID - 94202371

    Povezava(-e):

    https://www.sv-jme.eu/sl/article/extremal-micro-genetic-algorithm-model-for-time-cost-optimization-with-optimal-labour-productivity/
    Repozitorij Univerze v Ljubljani – RUL
    Digitalna knjižnica Slovenije - dLib.si
    DOI

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