Risk-averse distributionally robust optimization for construction waste reverse logistics with a joint chance constraint

•We investigated a CDW reverse logistics network.•A two-stage risk-averse distributionally robust optimization model is established.•The M-CVaR measure and a joint chance constraint are introduced.•We design an outer approximation algorithm to obtain the solution.•A case study on the CDW reverse net...

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Veröffentlicht in:	Computers & operations research Jg. 173; S. 106829
Hauptverfasser:	Xin, Xu, Zhang, Tao, Wang, Xiaoli, He, Fang, Wu, Lingxiao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.01.2025
Schlagworte:	Construction and demolition waste (CDW) Distributionally robust optimization (DRO) Joint chance constraint Location-routing problem (LRP) Mean-conditional value at risk (M-CVaR) Outer approximation algorithm (OAA) Distributionally robust optimization (DRO) Joint chance constraint Mean-conditional value at risk (M-CVaR) Location-routing problem (LRP) Construction and demolition waste (CDW) Outer approximation algorithm (OAA)
ISSN:	0305-0548
Online-Zugang:	Volltext
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