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A multi-objective fuzzy mathematical approach for sustainable reverse supply chain configuration

Research article (Journal of Transport and Supply Chain Management, 2017) · cited 14× · AI/ML
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A multi-objective fuzzy mathematical approach for sustainable reverse supply chain configuration

Summary

A multi-objective fuzzy mathematical approach for sustainable reverse supply chain configuration is a scholarly article[1].

Key Facts

  • A multi-objective fuzzy mathematical approach for sustainable reverse supply chain configuration's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A multi-objective fuzzy mathematical approach for sustainable reverse supply chain configuration. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-multi-objective-fuzzy-mathematical-approach-for-sustainable-reverse-supply-chain-configuration
MLA “A multi-objective fuzzy mathematical approach for sustainable reverse supply chain configuration.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-multi-objective-fuzzy-mathematical-approach-for-sustainable-reverse-supply-chain-configuration.
BibTeX @misc{4ortxyz_a-multi-objective-fuzzy-mathematical-approach-for-sustainable-reverse-supply-chain-configuration_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A multi-objective fuzzy mathematical approach for sustainable reverse supply chain configuration}}, year = {2026}, url = {https://4ort.xyz/entity/a-multi-objective-fuzzy-mathematical-approach-for-sustainable-reverse-supply-chain-configuration}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A multi-objective fuzzy mathematical approach for sustainable reverse supply chain configuration — https://4ort.xyz/entity/a-multi-objective-fuzzy-mathematical-approach-for-sustainable-reverse-supply-chain-configuration (retrieved 2026-05-24)

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