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A hybrid FAHP-entropy-TOPSIS model for selecting the facility layout in small-scale manufacturing

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F25%3A10259965" target="_blank" >RIV/61989100:27230/25:10259965 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://www.webofscience.com/wos/woscc/full-record/WOS:001591428100001" target="_blank" >https://www.webofscience.com/wos/woscc/full-record/WOS:001591428100001</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3389/fmech.2025.1666571" target="_blank" >10.3389/fmech.2025.1666571</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    A hybrid FAHP-entropy-TOPSIS model for selecting the facility layout in small-scale manufacturing

  • Popis výsledku v původním jazyce

    The strategic layout of a facility is crucial for achieving optimal productivity, operational efficiency, and ergonomic functionality in manufacturing systems. The availability of resources on the shop floor has a direct impact on how effectively each industry performs its tasks. The current study proposes a combined approach for selecting the optimal layout design from several options for a specific small-scale manufacturing industry. To achieve this, authors employed the FAHP to make decisions in the presence of uncertainty, the Entropy method to assign objective weights to different criteria, and the TOPSIS method to rank design options based on their proximity to the ideal solution. Five different facility layout designs were evaluated, with three qualitative factors examined: layout flexibility, shop floor utilisation, and ergonomics. The method is designed for use in a car parts manufacturing company that has experienced operational bottlenecks and poor shop floor layout for years. The people in charge, as well as the industry management, were unsatisfied with the setup. The results show that Layout 5 is superior to the others because it can be modified and outperforms all the other criteria used to evaluate it. The current study provides a comprehensive model to help small-scale industries, which are often at the bottom of the industrial hierarchy, transition from simple methods to more advanced ones in making decisions about layout design.

  • Název v anglickém jazyce

    A hybrid FAHP-entropy-TOPSIS model for selecting the facility layout in small-scale manufacturing

  • Popis výsledku anglicky

    The strategic layout of a facility is crucial for achieving optimal productivity, operational efficiency, and ergonomic functionality in manufacturing systems. The availability of resources on the shop floor has a direct impact on how effectively each industry performs its tasks. The current study proposes a combined approach for selecting the optimal layout design from several options for a specific small-scale manufacturing industry. To achieve this, authors employed the FAHP to make decisions in the presence of uncertainty, the Entropy method to assign objective weights to different criteria, and the TOPSIS method to rank design options based on their proximity to the ideal solution. Five different facility layout designs were evaluated, with three qualitative factors examined: layout flexibility, shop floor utilisation, and ergonomics. The method is designed for use in a car parts manufacturing company that has experienced operational bottlenecks and poor shop floor layout for years. The people in charge, as well as the industry management, were unsatisfied with the setup. The results show that Layout 5 is superior to the others because it can be modified and outperforms all the other criteria used to evaluate it. The current study provides a comprehensive model to help small-scale industries, which are often at the bottom of the industrial hierarchy, transition from simple methods to more advanced ones in making decisions about layout design.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    20300 - Mechanical engineering

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Frontiers in Mechanical Engineering - Switzerland

  • ISSN

    2297-3079

  • e-ISSN

    2297-3079

  • Svazek periodika

    11

  • Číslo periodika v rámci svazku

    SEP 29 2025

  • Stát vydavatele periodika

    CH - Švýcarská konfederace

  • Počet stran výsledku

    13

  • Strana od-do

    nestránkováno

  • Kód UT WoS článku

    001591428100001

  • EID výsledku v databázi Scopus