Most productive scale size versus demand fulfillment: a solution to the capacity dilemma
DOI10.1016/j.ejor.2015.07.061zbMath1346.90433OpenAlexW1072030398MaRDI QIDQ320817
Publication date: 7 October 2016
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2015.07.061
stochastic programmingdata envelopment analysismost productive scale sizecapacity planningmulti-objective decision analysis
Stochastic programming (90C15) Management decision making, including multiple objectives (90B50) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08)
Related Items (5)
Cites Work
- Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
- Estimating most productive scale size using data envelopment analysis
- Equivalence and implementation of alternative methods for determining returns to scale in data envelopment analysis
- Returns to scale in different DEA models.
- Scale characterizations in a DEA directional technology distance function framework
- Proactive data envelopment analysis: effective production and capacity expansion in stochastic environments
- Benefit and distance functions
- A more efficient algorithm for convex nonparametric least squares
- Introduction to Stochastic Programming
- Data Envelopment Analysis as Nonparametric Least-Squares Regression
- On setting scale efficient targets in DEA
- Efficiency Estimation of Production Functions
- Optimal Investment with Costly Reversibility
- The Theory of Statistical Decision
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