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A hybrid Bayesian BWM and Pythagorean fuzzy WASPAS-based decision-making framework for parcel locker location
Bahar Yalcin Kavus1, Ertugrul Ayyildiz2, Pelin Gulum Tas3
1Department of Industrial Engineering, Nisantasi University, 34398, Istanbul, Turkey.
Environmental Science and Pollution Research International
|November 14, 2022
Summary
This study identifies the optimal location for a parcel locker in Istanbul to improve last-mile deliveries. A novel hybrid model combining Bayesian Best Worst Method (B-BWM) and Pythagorean fuzzy Weighted Aggregated Sum Product Assessment (PF-WASPAS) was used.
Area of Science:
- Operations Research
- Urban Logistics
- Geographic Information Systems
Background:
- Last-mile deliveries contribute significantly to urban commercial vehicle traffic.
- Parcel lockers offer an efficient, private, and eco-friendly solution for last-mile logistics.
- Optimizing parcel locker placement is crucial for enhancing urban delivery services and reducing congestion.
Purpose of the Study:
- To determine the most convenient location for establishing a parcel locker in Istanbul's Beşiktaş district.
- To develop and apply a novel multi-criteria decision-making (MCDM) model for optimal parcel locker site selection.
- To integrate fuzzy logic for incorporating expert opinions into the location decision process.
Main Methods:
- A novel hybrid MCDM model integrating Bayesian Best Worst Method (B-BWM) and Pythagorean fuzzy Weighted Aggregated Sum Product Assessment (PF-WASPAS) was developed.
- Fuzzy logic was employed to translate expert judgments into mathematical terms for decision-making.
- Sensitivity analysis was performed to assess the proposed model's robustness and reliability.
Main Results:
- The proposed B-BWM and PF-WASPAS integrated model successfully identified the optimal location for a parcel locker in the specified district.
- The methodology demonstrated the effective application of advanced MCDM techniques in solving real-world urban logistics problems.
- The sensitivity analysis confirmed the stability and validity of the model's outcome.
Conclusions:
- The study presents a robust and novel approach for optimizing parcel locker locations in urban environments.
- The findings provide valuable insights for logistics companies and urban planners seeking to improve last-mile delivery efficiency.
- The integrated B-BWM and PF-WASPAS model offers a significant contribution to the field of sustainable urban logistics and site selection.
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