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Hybrid robust, stochastic and possibilistic programming for closed-loop supply chain network design

Research article (Computers & Industrial Engineering, 2018) · cited 75× · AI/ML
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Hybrid robust, stochastic and possibilistic programming for closed-loop supply chain network design

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Hybrid robust, stochastic and possibilistic programming for closed-loop supply chain network design is a scholarly article[1].

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  • Hybrid robust, stochastic and possibilistic programming for closed-loop supply chain network design'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). Hybrid robust, stochastic and possibilistic programming for closed-loop supply chain network design. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-robust-stochastic-and-possibilistic-programming-for-closed-loop-supply-chain-network-design
MLA “Hybrid robust, stochastic and possibilistic programming for closed-loop supply chain network design.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-robust-stochastic-and-possibilistic-programming-for-closed-loop-supply-chain-network-design.
BibTeX @misc{4ortxyz_hybrid-robust-stochastic-and-possibilistic-programming-for-closed-loop-supply-chain-network-design_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid robust, stochastic and possibilistic programming for closed-loop supply chain network design}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-robust-stochastic-and-possibilistic-programming-for-closed-loop-supply-chain-network-design}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hybrid robust, stochastic and possibilistic programming for closed-loop supply chain network design — https://4ort.xyz/entity/hybrid-robust-stochastic-and-possibilistic-programming-for-closed-loop-supply-chain-network-design (retrieved 2026-05-24)

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