Recommending investment opportunities given congestion by adaptive network data envelopment analysis model: Assessing sustainability of supply chains
DOI10.1051/ro/2019059zbMath1472.90067OpenAlexW2947047035WikidataQ127800734 ScholiaQ127800734MaRDI QIDQ5002203
Reza Farzipoor Saen, Hossein Hajaji, Sara Yousefi, Amir Hassanzadeh
Publication date: 27 July 2021
Published in: RAIRO - Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1051/ro/2019059
congestionundesirable outputssustainable supply chain management (SSCM)network data envelopment analysis (NDEA)sustainable investmentrange-adjusted measure (RAM)
Applications of mathematical programming (90C90) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08)
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