Assessing sustainability of supply chains by chance-constrained two-stage DEA model in the presence of undesirable factors
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Publication:1782193
DOI10.1016/j.cor.2017.10.002zbMath1458.90394OpenAlexW2761180101MaRDI QIDQ1782193
Mohammad Izadikhah, Reza Farzipoor Saen
Publication date: 18 September 2018
Published in: Computers \& Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cor.2017.10.002
efficiencystochastic dataintermediate productschance-constrained data envelopment analysis (DEA)sustainability of supply chaintwo-stage DEA modelundesirable data
Related Items (10)
Ranking of petrochemical companies using preferential voting at unequal levels of voting power through data envelopment analysis ⋮ Developing a new chance constrained NDEA model to measure performance of sustainable supply chains ⋮ A new branch and efficiency algorithm for an optimal design of the supply chain network in view of resilience, inequity and traffic congestion ⋮ Developing a linear stochastic two-stage data envelopment analysis model for evaluating sustainability of supply chains: a case study in welding industry ⋮ Selecting slacks-based data envelopment analysis models ⋮ Computational tractability of chance constrained data envelopment analysis ⋮ Fixed cost allocation in two-stage system using DEA from a noncooperative view ⋮ Providing an uncertain model for evaluating the performance of a basic two-stage system ⋮ Unnamed Item ⋮ A two-stage improved base point slacks-based measure of super-efficiency for negative data handling
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