What the study found
The study developed a hybrid model to evaluate order picker efficiency, rank fully efficient workers, and allocate performance-based bonuses in e-commerce fulfillment.
Why the authors say this matters
The authors say the study addresses a gap in the literature, since only a few studies have examined order picker efficiency evaluation and bonus allocation in depth. The findings indicate that the approach may help logistics companies assess performance and distribute bonuses during high-demand periods.
What the researchers tested
The researchers evaluated 56 order pickers using Data Envelopment Analysis (DEA), a method for comparing the relative efficiency of decision-making units, with three input variables and five output variables. They then ranked the fully efficient pickers using the integrated Modified Fuzzy Stepwise Weight Assessment Ratio Analysis (IMF SWARA) method, which assigns weights to evaluation criteria, and the COPRAS method, which produces the final ranking. They also developed a structured bonus allocation model with four scenarios and carried out sensitivity analysis and model validation.
What worked and what didn't
DEA identified 18 of the 56 order pickers as fully efficient. These efficient pickers were then ranked with IMF SWARA and COPRAS, and the authors used those rankings to build a four-scenario bonus allocation model. The abstract does not report detailed comparative results for the scenarios beyond stating that sensitivity analysis and validation were performed.
What to keep in mind
The abstract does not provide the specific bonus amounts, the criteria weights, or the detailed outcomes of the four scenarios. It also does not describe limitations beyond noting that the literature on this issue is limited.
Key points
- The study created a hybrid model for evaluating order picker efficiency and allocating bonuses.
- DEA analysis of 56 order pickers found 18 to be fully efficient.
- Fully efficient pickers were ranked using IMF SWARA and COPRAS.
- A structured bonus allocation model with four scenarios was developed.
- Sensitivity analysis and model validation were performed.
Disclosure
- Research title:
- Hybrid model ranks order pickers and allocates bonuses
- Authors:
- Milan Andrejić, Vukašin Pajić
- Institutions:
- University of Belgrade
- Publication date:
- 2026-03-05
- OpenAlex record:
- View
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