Sustainable reverse logistics network design using simulation: Insights from the fashion industry

• The environmental impact of reverse logistics is critical in the fashion industry. • Fashion luxury brands must balance LT and environmental performances to compete. • Choices about decentralization and transportation modes impact on these KPIs. • Supply chain simulation effectively assesses trade-off in network design. • Scenario analyses for a fashion luxury brand are performed to validate the approach. While direct logistics optimization is a common practice, reverse logistics management is frequently neglected. This study explores how reverse logistics configurations affect the environmental sustainability of global supply chains in the fashion industry. The paper addresses the gap in the literature regarding carbon footprint of hybrid configurations for return flows. A case study is conducted in an Italian luxury fashion company with global operations, and we use supply chain simulation to assess sustainability-focused network design alternatives. The findings reveal that decentralizing specific operations significantly reduces carbon footprint without compromising service levels or lead time, both critical aspects in such segment. This research emphasizes the importance of considering reverse logistics in the overall sustainability strategy of supply chains, offering practical insights for businesses seeking to balance environmental impact with operational efficiency in the fashion industry.

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Publication Details

Journal
Cleaner Logistics and Supply Chain
Published
2024-12-25
DOI
https://doi.org/10.1016/j.clscn.2024.100201
Citations
15
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
8.32
Controls
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article

Sustainable reverse logistics network design using simulation: Insights from the fashion industry

Romeo Bandinelli, Elias Ribeiro da Silva, Virginia Fani, Ilaria Bucci
15 citations
Cleaner Logistics and Supply Chain
Sustainable Supply Chain Management
8.32
article

Sustainable reverse logistics network design using simulation: Insights from the fashion industry

Romeo Bandinelli, Elias Ribeiro da Silva, Virginia Fani, Ilaria Bucci
article en
15 citations

Abstract

• The environmental impact of reverse logistics is critical in the fashion industry. • Fashion luxury brands must balance LT and environmental performances to compete. • Choices about decentralization and transportation modes impact on these KPIs. • Supply chain simulation effectively assesses trade-off in network design. • Scenario analyses for a fashion luxury brand are performed to validate the approach. While direct logistics optimization is a common practice, reverse logistics management is frequently neglected. This study explores how reverse logistics configurations affect the environmental sustainability of global supply chains in the fashion industry. The paper addresses the gap in the literature regarding carbon footprint of hybrid configurations for return flows. A case study is conducted in an Italian luxury fashion company with global operations, and we use supply chain simulation to assess sustainability-focused network design alternatives. The findings reveal that decentralizing specific operations significantly reduces carbon footprint without compromising service levels or lead time, both critical aspects in such segment. This research emphasizes the importance of considering reverse logistics in the overall sustainability strategy of supply chains, offering practical insights for businesses seeking to balance environmental impact with operational efficiency in the fashion industry.

Cleaner Logistics and Supply ChainVol. 14
University of Southern Denmark (DK), Innovation Research Center (US), University of Florence (IT)
Industry, innovation and infrastructure
Openalex Percentile: Top 3%
Sustainable Supply Chain Management
8.32
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Sustainable reverse logistics network design using simulation: Insights from the fashion industry — Romeo Bandinelli, Elias Ribeiro da Silva, et al. · Cleaner Logistics and Supply Chain (2024) | TGRS Research Map | TGRS