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Sustainable Optimization of Scheduling and Locating Mobile Parcel Lockers Using Crowd-Shipping for Reverse Logistics

Orouji, Sara | 2026

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 58837 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Hassanpourjesri, Zahra
  7. Abstract:
  8. The rapid growth of electronic waste and its associated environmental impacts has intensified the need for developing innovative approaches in designing sustainable reverse logistics networks. In this study, a two-stage mixed-integer linear programming model is proposed to design and optimize an electronic waste collection system. The main contribution of the model lies in the simultaneous integration of crowdsourcing and mobile parcel locker systems within a unified framework. Crowd-shipping in logistics refers to leveraging individuals to perform collection or delivery tasks. In the first stage, a combined allocation and routing model for crowd-shippers is developed, where a subset of customers is selected as crowd-shippers to collect electronic waste from other customers and deliver it to mobile parcel lockers. The objective of this stage is to minimize the total traveled distance while improving operational efficiency through optimal allocation. In the second stage, locating and scheduling problem for mobile parcel lockers is formulated over two distinct time periods. The model aims to maximize demand coverage while minimizing the transportation costs of mobile parcel lockers. Additionally, the possibility for regular customers to directly deliver their electronic waste to the mobile parcel lockers is incorporated in this stage. To solve the proposed model, a logic-based Benders decomposition algorithm is developed for the first-stage sub-problem. The results indicate that, particularly for large-scale instances (e.g., 4000 customers and above), the proposed approach outperforms the Gurobi solver in terms of computational efficiency, and its output is subsequently used as input for the second stage. The computational results indicate that the proposed model leads to a reduction in operational costs compared to fixed parcel locker systems. Furthermore, this approach improves environmental and social sustainability indicators and demonstrates superior performance in comparison with traditional approaches
  9. Keywords:
  10. Sustainability Assessment ; Sustainable Reverse Logistics ; Logic Based Benders Decomposition Algorithm ; Crowdsourcing ; Mobile Parcel Locker

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