VSE knjižnice (vzajemna bibliografsko-kataložna baza podatkov COBIB.SI)
  • Optimization techniques for green layout design in manufacturing industries : a meta-heuristic analysis
    Sherfudeen, Sheik Sulaiman ; Athinamilagi, Muthiah ; Venkataramanujam, Janakiraman
    Many research papers and much legislation has been published in recent years to control or reduce factory pollution. However, only a few articles have discussed pollution from manufacturing ... facilities, specifically shop floors, even though this a specific single objective problem. In this research framework, a new variant technique of the jelly fish concept adaptive salp swarm optimization (ASSO) with a familiar Lagrangian relaxation model for lowering Total Material Handling Costs (TMHC) and carbon dioxide (CO2) emissions is presented. Using the Mat Lab software and the improved ASSO, the dragon fly optimization (DFO) algorithm technique, experimental simulations of the existing and recognized design of the studied industry were performed. The simulation results were validated and compared to those of other optimization techniques such as ant bee colony (ABC), simulated annealing (SA), and genetic algorithm (GA). It was determined that the proposed methodology, ASSO, was the most efficient, resulting in 40 % reduction compared to ABC, 38 % DFO, 50 % SA, and 40 % GA in the lowest TMHC, as well as an average 20 % reduction of emission rate in green layout design. These techniques could be combined into a hybrid format for further reduction of the emission rate up to 80 %.
    Vir: Strojniški vestnik = Journal of mechanical engineering. - ISSN 0039-2480 (Vol. 68, no. 11, Nov. 2022, str. 683-692)
    Vrsta gradiva - članek, sestavni del
    Leto - 2022
    Jezik - angleški
    COBISS.SI-ID - 133405955

    Povezava(-e):

    https://www.sv-jme.eu/sl/article/optimization-techniques-for-green-layout-design-in-manufacturing-industries-a-meta-heuristic-analysis/
    Repozitorij Univerze v Ljubljani – RUL
    Digitalna knjižnica Slovenije - dLib.si
    DOI

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