367 KB42 KB199920252021Bagath Singh, N.Karthi Vinith, K. S.Sathiamurthi, PSivakumar, A.številka:12letnik:67str. 682-691ISSN:0039-2480DOI:10.5545/sv-jme.2021.7406COBISSID_HOST:94202371URN:URN:NBN:SI:doc-GP558WH2enZveza strojnih inženirjev in tehnikov Slovenije etc.Strojniški vestnikekstremalna optimizacijaequipment effectivenessextremal optimizationlabour productivitymicro genetic algorithmmikrogenetski algoritemnadgradnje antobusovoptimizacija časaoptimizacija stroškovproduktivnost delatime-cost optimizationučinkovitost opremeExtremal-micro genetic algorithm model for time-cost optimization with optimal labour productivity|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 effectivelyTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaUniverza v Ljubljani, Fakulteta za strojništvo