Developing a new chance-constrained DEA model for suppliers selection in the presence of undesirable outputs

DOI10.1504/IJOR.2012.044027zbMath1362.90225OpenAlexW2124535906WikidataQ59165226 ScholiaQ59165226MaRDI QIDQ2627242

Majid Azadi, Reza Farzipoor Saen

Publication date: 31 May 2017

Published in: International Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1504/ijor.2012.044027

zbMATH Keywords

quadratic programmingstochastic datadata envelopment analysisDEAsupply chain managementchance-constrained programmingundesirable outputsSCMsupplier selectionslacks-based measureSBMdesirable outputs

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Transportation, logistics and supply chain management (90B06) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08)

Related Items (9)

A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context ⋮ Applications of data envelopment analysis in supplier selection between 2000 and 2020: a literature review ⋮ Developing a new chance constrained NDEA model to measure performance of sustainable supply chains ⋮ Ranking sustainable suppliers by context-dependent data envelopment analysis ⋮ A new robust dynamic data envelopment analysis approach for sustainable supplier evaluation ⋮ Assessing sustainability of supply chains by chance-constrained two-stage DEA model in the presence of undesirable factors ⋮ Distinctive data envelopment analysis model for evaluating global environment performance ⋮ Decision method for the optimal number of logistics service providers with service quality guarantee and revenue fairness ⋮ A joint measurement of efficiency and effectiveness using network data envelopment analysis approach in the presence of shared input

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