Optimal solution of technology selection model: A computational efficient form

International Journal of Advanced Manufacturing Technology

Volumn 43, Issue 9-10, 2009, Pages 1046-1050

  Amin, Gholam R ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Advanced manufacturing technology; Computational complexity; Data envelopment analysis; Technology selection

Indexed keywords

ADVANCED MANUFACTURING TECHNOLOGY; OPTIMAL SOLUTIONS; SIMPLE METHOD; TECHNOLOGY SELECTION;

COMPUTATIONAL EFFICIENCY; DATA ENVELOPMENT ANALYSIS; LINEAR PROGRAMMING; LINEARIZATION; MODELS; OPTIMAL SYSTEMS; OPTIMIZATION; TECHNOLOGY;

COMPUTATIONAL COMPLEXITY;

EID: 67651204370     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-008-1787-8     Document Type: Article

References (15)

1. EE Karsak SS Ahiska 2005 Practical common weight multi-criteria decision-making approach with an improved discriminating power for technology selection Int J Prod Res 43 8 1537 1554
2. GR Amin M Toloo B Sohrabi 2006 An improved MCDM DEA model for technology selection Int J Prod Res 44 13 2681 2686
3. DE Booth M Khouja M Hu 1992 A robust multivariate statistical procedure for evaluation and selection of industrial robots Int J Oper Prod Manage 12 15 24
4. M Khouja 1995 The use of data envelopment analysis for technology selection Comput Ind Eng 28 123 132
5. M Braglia A Petroni 1999 Evaluating and selecting investments in industrial robots Int J Prod Res 37 4157 4178
6. A Charnes WW Cooper E Rhodes 1978 Measuring the efficiency of decision making units Eur J Oper Res 2 6 429 444
7. Cooper WW, Seiford LM, Tone K (2006) Introduction to data envelopment analysis and its uses with DEA-solver software and references. Springer, New York
8. Emrouznejad A, Tavares G, Parker B (2008) A bibliography of data envelopment analysis (1978-2003). Socio Eco Plan Sci doi: 10.1016/j.seps.2007. 07.002
9. JH Dulá 2008 A computational study of DEA with massive data sets Comput Oper Res 35 1191 1203
10. RS Barr ML Durchholz 1997 Parallel and hierarchical decomposition approaches for solving large-scale data envelopment analysis models Ann Oper Res 73 339 372
11. GR Amin M Toloo 2004 A polynomial-time algorithm for finding epsilon in DEA models Comput Oper Res 31 803 805
12. S Talluri KP Yoon 2000 A cone-ratio DEA approach for AMT justification Int J Prod Econ 66 119 129
13. S Sun 2002 Assessing computer numerical control machines using data envelopment analysis Int J Prod Res 40 2011 2039
14. Farzipoor SR (2008) Technology selection in the presence of imprecise data, weight restrictions, and nondiscretionary factors. Int J Adv Manuf Technol doi: 10.1007/s00170-008-1514-5
15. WD Cook M Kress LM Seiford 1996 Data envelopment analysis in the presence of both quantitative and qualitative factors J Oper Res Soc 47 945 953