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<p>Facility layout research requires further enhancement to meet real-world industrial needs, necessitating multi-objective formulations since multiple issues must be optimized simultaneously. Accordingly, this study proposes a multi-objective mathematical model that incorporates distinctive industrial requirements, including work-in-process (WIP), material handling system types, human factors, and fixed position constraints. To address uncertainties in demand and material flow, as well as the industry’s preference for a single layout due to the high cost and time required for rearrangement, a robust facility layout is proposed. The model simultaneously minimizes material handling costs, walking worker operator cost, and WIP, while maximizing robustness. This multi-objective optimization problem, classified as NP-hard, is solved using NSGA-II and MOPSO, resulting in Pareto trade-offs that require decision makers to select a single optimal solution based on qualitative judgment. To address this, the best Pareto solutions are sequentially evaluated using Best-Worst Method (BWM) and VIseKriterijumska Optimizacija Kompromisno Resenje (VIKOR) as a multi-criteria decision-making (MCDM) approach, providing a quantitative basis for selecting the most suitable solution. A case study in the railcar manufacturing industry validated the proposed model, showing its ability to accommodate uncertainty while reducing the material handling distance compared to the existing layout.</p>

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Multi-objective robust facility layout optimization considering industrial constraints and multi-criteria decision-making

  • 期刊论文

  • 发表日期：

    2026年2月16日

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  • Wildanul Isnaini,
  • Nur Aini Masruroh,
  • I Gusti Bagus Budi Dharma

摘要

Facility layout research requires further enhancement to meet real-world industrial needs, necessitating multi-objective formulations since multiple issues must be optimized simultaneously. Accordingly, this study proposes a multi-objective mathematical model that incorporates distinctive industrial requirements, including work-in-process (WIP), material handling system types, human factors, and fixed position constraints. To address uncertainties in demand and material flow, as well as the industry’s preference for a single layout due to the high cost and time required for rearrangement, a robust facility layout is proposed. The model simultaneously minimizes material handling costs, walking worker operator cost, and WIP, while maximizing robustness. This multi-objective optimization problem, classified as NP-hard, is solved using NSGA-II and MOPSO, resulting in Pareto trade-offs that require decision makers to select a single optimal solution based on qualitative judgment. To address this, the best Pareto solutions are sequentially evaluated using Best-Worst Method (BWM) and VIseKriterijumska Optimizacija Kompromisno Resenje (VIKOR) as a multi-criteria decision-making (MCDM) approach, providing a quantitative basis for selecting the most suitable solution. A case study in the railcar manufacturing industry validated the proposed model, showing its ability to accommodate uncertainty while reducing the material handling distance compared to the existing layout.