An epsilon-based data envelopment analysis approach for solving performance measurement problems with interval and ordinal dual-role factors
From MaRDI portal
Publication:2063092
DOI10.1007/s00291-021-00649-6zbMath1480.90153OpenAlexW3188460406MaRDI QIDQ2063092
Bohlool Ebrahimi, Madjid Tavana, Andreas Dellnitz, Andreas Kleine
Publication date: 10 January 2022
Published in: OR Spectrum (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00291-021-00649-6
Cites Work
- Unnamed Item
- Measuring the efficiency of decision making units
- On considering dual-role factor in supplier selection problem
- Restricting weights in supplier selection decisions in the presence of dual-role factors
- An effective non-Archimedean anti-degeneracy/cycling linear programming method especially for data envelopment analysis and like models
- A methodology for strategic sourcing.
- A polynomial-time algorithm for finding \(\varepsilon\) in DEA models
- Data envelopment analysis with imprecise data
- Solving DEA models in a single optimization stage: can the non-Archimedean infinitesimal be replaced by a small finite epsilon?
- A multi-phase mathematical programming approach for effective supply chain design
- Imprecise data envelopment analysis (IDEA): A review and improvement with an application
- New data envelopment analysis models for classifying flexible measures: the role of non-Archimedean epsilon
- On performance evaluation with a dual-role factor
- An interval efficiency analysis with dual-role factors
- Interval efficiency assessment using data envelopment analysis
- Interval efficiency measures in data envelopment analysis with imprecise data
- A DECISION MODEL FOR SELECTING THIRD-PARTY REVERSE LOGISTICS PROVIDERS IN THE PRESENCE OF BOTH DUAL-ROLE FACTORS AND IMPRECISE DATA
- IDEA and AR-IDEA: Models for Dealing with Imprecise Data in DEA
- Computational Accuracy and Infinitesimals In Data Envelopment Analysis
- Determining Teaching and Research Efficiencies
- How to Assess Sustainability of Suppliers in the Presence of Dual-Role Factor and Volume Discounts? A Data Envelopment Analysis Approach