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Automated warehousing ranked above manual systems on key criteria

A warehouse facility interior displaying multiple large robotic systems and automated equipment arranged in rows on a dark floor, with industrial shelving and overhead infrastructure visible in the background.
Research area:Industrial engineeringIndustrial and Manufacturing EngineeringAdvanced Manufacturing and Logistics Optimization

What the study found

Automated warehousing systems were consistently ranked above manpower-based alternatives on productivity, safety, and long-term operating expenses. Manual systems retained advantages in flexibility and lower initial investment.

Why the authors say this matters

The authors conclude that integrating multiple fuzzy multi-criteria decision-making methods and adding structured sensitivity analysis can improve the robustness of warehouse automation decisions. The study also says this offers practical insights for managers evaluating warehouse automation strategies.

What the researchers tested

The researchers compared automated and manpower-based warehousing systems using an integrated fuzzy multi-criteria decision-making framework. They combined four fuzzy methods: Fuzzy EDAS, Fuzzy TOPSIS, Fuzzy AHP, and Fuzzy VIKOR, and used six criteria: productivity, safety, flexibility, initial investment, annual expense, and error rate.

What worked and what didn't

The results consistently indicated that automated warehousing systems performed better on productivity, safety, and long-term costs. Manual systems performed better on flexibility and initial investment. The study also reports a targeted sensitivity analysis for Fuzzy EDAS and Fuzzy VIKOR to test whether rankings changed under different criterion weights.

What to keep in mind

The abstract does not describe the detailed data set, warehouse settings, or specific numerical results. It also does not provide limitations beyond noting that the analysis addresses uncertainty and weighting variation in the decision framework.

Key points

  • Automated warehousing systems ranked higher than manpower-based systems on productivity, safety, and long-term operating expenses.
  • Manual warehousing systems kept advantages in flexibility and lower initial investment.
  • The study used an integrated fuzzy multi-criteria decision-making framework.
  • Four methods were combined: Fuzzy EDAS, Fuzzy TOPSIS, Fuzzy AHP, and Fuzzy VIKOR.
  • A targeted sensitivity analysis examined ranking robustness for Fuzzy EDAS and Fuzzy VIKOR.

Disclosure

Research title:
Automated warehousing ranked above manual systems on key criteria
Authors:
Servet SOYGUDER, Gürkan Galip Dinler
Institutions:
Ankara University
Publication date:
2026-03-30
DOI:
10.1007/s40815-026-02249-4
OpenAlex record:
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AI provenance: This post was generated by OpenAI. The original authors did not write or review this post.

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