A common-weight DEA model for multi-criteria ABC inventory classification with quantitative and qualitative criteria
DOI10.1051/ro/2018105zbMath1430.90006OpenAlexW2900680587WikidataQ128928808 ScholiaQ128928808MaRDI QIDQ5214330
Xiyang Lei, Yao Wen, Qingxian An, Junhua Hu
Publication date: 7 February 2020
Published in: RAIRO - Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1051/ro/2018105
data envelopment analysis (DEA)qualitative criteriaABC inventory classificationcommon-weightmultiple criteria inventory classification (MCIC)
Management decision making, including multiple objectives (90B50) Production models (90B30) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08) Inventory, storage, reservoirs (90B05)
Cites Work
- Measuring the efficiency of decision making units
- A common weight linear optimization approach for multicriteria ABC inventory classification
- Peer-estimation for multiple criteria ABC inventory classification
- A simple classifier for multiple criteria ABC analysis
- A note on multi-criteria ABC inventory classification using weighted linear optimization
- An improvement to multiple criteria ABC inventory classification
- Management of multicriteria inventory classification
- An epsilon-free approach for finding the most efficient unit in DEA
- Ranking decision-making units using common weights in DEA
- The role of non-Archimedean epsilon in finding the most efficient unit: with an application of professional tennis players
- Imprecise data envelopment analysis (IDEA): A review and improvement with an application
- Selecting most efficient information system projects in presence of user subjective opinions: a DEA approach
- An integrated data envelopment analysis and mixed integer non-linear programming model for linearizing the common set of weights
- A novel method for selecting a single efficient unit in data envelopment analysis without explicit inputs/outputs
- ABC inventory classification with multiple-criteria using weighted linear optimization
- Performance and cost analysis of repairable systems under imperfect repair
- Multi-criteria decision analysis for efficient location-allocation problem combining DEA and goal programming
- An improved MCDM DEA model for technology selection
- Data Envelopment Analysis in the Presence of Both Quantitative and Qualitative Factors
- Practical common weight multi-criteria decision-making approach with an improved discriminating power for technology selection
This page was built for publication: A common-weight DEA model for multi-criteria ABC inventory classification with quantitative and qualitative criteria