Assessing sustainability of supply chains by double frontier network DEA: a big data approach

DOI10.1016/j.cor.2017.06.003zbMath1391.90340OpenAlexW2623586212WikidataQ59165023 ScholiaQ59165023MaRDI QIDQ1651669

Tahmoures Samavati, Reza Farzipoor Saen, Taliva Badiezadeh

Publication date: 12 July 2018

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2017.06.003

zbMATH Keywords

undesirable outputsbig datadata envelopment analysis (DEA)sustainable supply chain management (SSCM)double frontiernetwork data envelopment analysis (NDEA)

Mathematics Subject Classification ID

Linear programming (90C05) Management decision making, including multiple objectives (90B50) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08) Deterministic network models in operations research (90B10)

Related Items (10)

Multi-output support vector frontiers ⋮ Dominance and ranking interval in DEA parallel production systems ⋮ Random forests and the measurement of super-efficiency in the context of free disposal hull ⋮ Developing a new chance constrained NDEA model to measure performance of sustainable supply chains ⋮ A real-world mine excavators timetabling methodology in open-pit mining ⋮ Efficiency evaluation and ranking of supply chains based on stochastic multicriteria acceptability analysis and data envelopment analysis ⋮ Scale efficiency of China's regional R\&D value chain: a double frontier network DEA approach ⋮ Pricing strategies of a three-stage supply chain: a new research in the big data era ⋮ Unnamed Item ⋮ A two-stage improved base point slacks-based measure of super-efficiency for negative data handling

Cites Work

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