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This research aims to compare automated warehousing systems with manpower-based systems using fuzzy multi-criteria decision-making methods.

Comparative Analysis of Robotic and Automatic Warehousing Systems with Fuzzy-Based Multi-Criteria Decision Making

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This research aims to compare automated warehousing systems with manpower-based systems using fuzzy multi-criteria decision-making methods.
Applied integrated fuzzy MCDM framework for evaluation.
Utilized four fuzzy MCDM methods: Fuzzy EDAS, Fuzzy TOPSIS, Fuzzy AHP, and Fuzzy VIKOR.
Conducted targeted sensitivity analysis for robustness testing under varying criteria weights.
Evaluated systems based on six criteria: productivity, safety, flexibility, initial investment, annual expense, and error rate.
Automated systems outperformed manpower-based systems in productivity and safety.
Long-term operating expenses favored automated systems.
Manual systems excelled in flexibility and lower initial investment.

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Analysis compares performance of automated and manpower-based warehousing systems, highlighting implications for decision-making.

SOYGUDER et al. (2026) studied this question.

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