Amirteimoori, Alireza; Kordrostami, Sohrab; Sarparast, Maryam Modeling undesirable factors in data envelopment analysis. (English) Zbl 1120.90337 Appl. Math. Comput. 180, No. 2, 444-452 (2006). Summary: Data envelopment analysis is a mathematical programming technique for identifying efficient frontiers for peer decision making units with multiple inputs and multiple outputs. These performance factors (inputs and outputs) are classified into two groups: desirable and undesirable. Obviously, undesirable factors in production process should be reduced to improve the performance. In the current paper, we present a data envelopment analysis (DEA) model in which can be used to improve the relative performance via increasing undesirable inputs and decreasing undesirable outputs. Cited in 4 Documents MSC: 90B50 Management decision making, including multiple objectives Keywords:data envelopment analysis; efficiency; undesirable factors PDFBibTeX XMLCite \textit{A. Amirteimoori} et al., Appl. Math. Comput. 180, No. 2, 444--452 (2006; Zbl 1120.90337) Full Text: DOI References: [1] Banker, R. D.; Charnes, A.; Cooper, W. W., Some methods for estimating technical and scale inefficiencies in data envelopment analysis, Management Science, 30, 9, 1078-1092 (1984) · Zbl 0552.90055 [2] Charnes, A.; Cooper, W. W., Programming with linear fractional function, Naval Research Logistics Quarterly, 9, 181-186 (1962) · Zbl 0127.36901 [3] Charnes, A.; Cooper, W. W.; Rhodes, E., Measuring the efficiency of decision making units, European Journal of Operational Research, 2, 6, 429-444 (1978) · Zbl 0416.90080 [4] Färe, R.; Grosskopf, S.; Lovell, C. A.K.; Pasurka, C., Multilateral productivity comparisons when some outputs are undesirable: a non-parametric approach, The Review of Economics and Statistics, 71, 90-98 (1989) [5] Seiford, L. M.; Zhu, J., Modeling undesirable factors in efficiency evaluation, European Journal of Operational Research, 142, 16-20 (2002) · Zbl 1079.90565 This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.