arbiter
JournalsPricingAccount

Possibilistic programming for designing reverse logistics networks to handle e-commerce returns under uncertainty

Trung Kien Luong et al.

International Journal of Integrated Supply Management2025https://doi.org/10.1504/ijism.2025.147730article
AJG 1
Weight
0.50

What the paper says

Returns in e-commerce are a significant cost factor, impacting the firms' profitability and customer satisfaction. This paper proposes a fuzzy possibilistic programming model for designing a multi-echelon reverse logistics network to optimise return management under uncertainty from returned demand, transportation and inventory costs. The model determines the optimal number and location of facilities, material flow and inventory level. Finally, a case study is conducted on an e-commerce business in Vietnam to evaluate the model's effectiveness. The network includes 36 collection sites, six intermediate warehouses and a regional hub with many convenience stores serving as collection centres. Sensitivity analyses on pertinent parameters have been performed to provide valuable managerial insights. Using the fuzzy model with a confidence level of 90%, the total cost is 326,281.6 USD, while the deterministic model generated a total cost of 361,004.5 USD. As a result, our model is efficient in providing solutions for enhancing business performance.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1504/ijism.2025.147730

Or copy a formatted citation

@article{trung2025,
  title        = {{Possibilistic programming for designing reverse logistics networks to handle e-commerce returns under uncertainty}},
  author       = {Trung Kien Luong et al.},
  journal      = {International Journal of Integrated Supply Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijism.2025.147730},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Possibilistic programming for designing reverse logistics networks to handle e-commerce returns under uncertainty

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.