Evaluation of Supply Chain Efficiency Based on a Novel Network of Data Envelopment Analysis Model

DOI10.1142/S0218127415400362zbMath1334.90073OpenAlexW2290391805MaRDI QIDQ2800676

Lifang Fu, Jun Meng, Ying Liu

Publication date: 18 April 2016

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218127415400362

zbMATH Keywords

undesirable outputnetwork data envelopment analysis (NDEA)slack-based measuresupply chain performance evaluation

Mathematics Subject Classification ID

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 (2)

Network DEA-based biobjective optimization of product flows in a supply chain ⋮ Integration of neural network and AP-NDEA model for performance evaluation of sustainable pharmaceutical supply chain

Uses Software

• DEA

Cites Work

• Unnamed Item
• Network data envelopment analysis: a review
• Network DEA model for supply chain performance evaluation
• An epsilon-based measure of efficiency in DEA -- a third pole of technical efficiency
• Data envelopment analysis (DEA) -- thirty years on
• A new model for classifying inputs and outputs and evaluating the performance of dmus based on translog output distance function
• Network DEA: additive efficiency decomposition
• Network DEA: A slacks-based measure approach
• Network DEA pitfalls: divisional efficiency and frontier projection under general network structures
• Undesirable inputs and outputs in DEA models

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