Today, one of the most important problems of decision makers in most organizations is to choose the best supply chain. The main objective of this paper is to choose the best supply chain. To select the best supply chain this paper presents a model based on goal programming and network data envelopment analysis (NDEA). The proposed model enables decision makers to compare supply chains with predetermined goals. A case study is presented to validate the proposed model.
Mots clés : Supply chain, network DEA, goal programming, data envelopment analysis
@article{RO_2015__49_3_601_0, author = {Yousefi, Saeed and Shabanpour, Hadi and Saen, Reza Farzipoor}, title = {Selecting the best supply chain by goal programming and network data envelopment analysis}, journal = {RAIRO - Operations Research - Recherche Op\'erationnelle}, pages = {601--617}, publisher = {EDP-Sciences}, volume = {49}, number = {3}, year = {2015}, doi = {10.1051/ro/2014059}, mrnumber = {3349137}, zbl = {1326.90009}, language = {en}, url = {http://www.numdam.org/articles/10.1051/ro/2014059/} }
TY - JOUR AU - Yousefi, Saeed AU - Shabanpour, Hadi AU - Saen, Reza Farzipoor TI - Selecting the best supply chain by goal programming and network data envelopment analysis JO - RAIRO - Operations Research - Recherche Opérationnelle PY - 2015 SP - 601 EP - 617 VL - 49 IS - 3 PB - EDP-Sciences UR - http://www.numdam.org/articles/10.1051/ro/2014059/ DO - 10.1051/ro/2014059 LA - en ID - RO_2015__49_3_601_0 ER -
%0 Journal Article %A Yousefi, Saeed %A Shabanpour, Hadi %A Saen, Reza Farzipoor %T Selecting the best supply chain by goal programming and network data envelopment analysis %J RAIRO - Operations Research - Recherche Opérationnelle %D 2015 %P 601-617 %V 49 %N 3 %I EDP-Sciences %U http://www.numdam.org/articles/10.1051/ro/2014059/ %R 10.1051/ro/2014059 %G en %F RO_2015__49_3_601_0
Yousefi, Saeed; Shabanpour, Hadi; Saen, Reza Farzipoor. Selecting the best supply chain by goal programming and network data envelopment analysis. RAIRO - Operations Research - Recherche Opérationnelle, Tome 49 (2015) no. 3, pp. 601-617. doi : 10.1051/ro/2014059. http://www.numdam.org/articles/10.1051/ro/2014059/
A procedure for ranking efficient units in data envelopment analysis. Manage. Sci. 39 (1993) 1261–1264. | DOI | Zbl
and ,Supplier selection using chance-constrained data envelopment analysis with non-discretionary factors and stochastic data. Int. J. Ind. Syst. Eng. 10 (2012) 167–196.
, and ,Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manag. Sci. 30 (1984) 1078–1092. | DOI | Zbl
, and ,Enhancing standard performance practices with DEA. Omega 38 (2010) 33–45. | DOI
, , and ,Efficient structures of achievement functions for goal programming models. Asia Pac. J. Oper. Res. 24 (2007) 755–764. | DOI | MR | Zbl
,A. Charnes and W.W. Cooper, Management models and industrial applications of linear programming. John Wiley and Sons, New York (1961), Vol. I. | MR | Zbl
Optimal estimation of executive compensation by linear programming. Manag. Sci. 1 (1955) 138–151. | DOI | MR | Zbl
, and ,Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2 (1978) 429–444. | DOI | MR | Zbl
, and ,A. Charnes, W.W. Cooper, A.Y. Lewin and L.M. Seiford, Data envelopment analysis: Theory, methodology and application. Kluwer Academic Publishers, Boston, Dordrecht, London, (1994). | Zbl
Measuring super-efficiency DEA in the presence of infeasibility. Eur. J. Oper. Res. 161 (2005) 545–551. | DOI | MR | Zbl
,A DEA game model approach to supply chain efficiency. Ann. Oper. Res. 145 (2006) 35–49. | DOI | MR | Zbl
, and ,Network DEA model for supply chain performance evaluation. Eur. J. Oper. Res. 213 (2011) 147–155. | DOI | MR | Zbl
and ,Network DEA: Additive efficiency decomposition. Eur. J. Oper. Res. 207 (2010) 1122–1129. | DOI | Zbl
, , ,DEA-based production planning. Omega 38 (2010) 105–12. | DOI
, and ,Productivity and intermediate products: A frontier approach. Econ. Lett. 50 (1996) 65–70. | DOI | Zbl
, and ,Network DEA. Socio-Econ. Plan. Sci. 4 (2000) 35–49. | DOI
and ,R. Färe, S. Grosskopf and G. Whittaker, Network DEA. In Modeling data structures irregularities and structural complexities in data envelopment analysis. edited by J. Zhu and W.D. Cook, Springer, New York (2007) Chap. 12. | Zbl
Saen, Technology selection in the presence of imprecise data, weight restrictions, and nondiscretionary factors. Int. J. Adv. Manufact. Technol. 41 (2009) 827–838. | DOI
,Clock speed-based strategies for supply chain design. Prod. Oper. Manage. 9 (2000) 213–221. | DOI
,Selecting sourcing partners for a make-to-order supply chain. Omega 38 (2010) 136–144. | DOI
, and ,Efficiency measurement for network systems: IT impact on firm performance. Decis. Support Syst. 48 (2010) 437–446. | DOI
and ,Bridging organization theory and supply chain management: The case of best value supply chains. J. Oper. Manag. 25 (2007) 573–580. | DOI
, and ,Super efficiency infeasibility and zero data in DEA. Eur. J. Oper. Res. 216 (2012) 429–433. | DOI | Zbl
and ,Network DEA: Efficiency analysis of organizations with complex internal structure. Comput. Oper. Res. 31 (2004) 1365–1410. | DOI | Zbl
and ,DEA models for supply chain efficiency evaluation. Ann. Oper. Res. 145 (2006) 35-49. | DOI | MR | Zbl
, , and ,Efficient and simple model for multiple criteria supplier selection problem. Eur. J. Oper. Res. 186 (2008) 1059–1067. | DOI | Zbl
,Long term supplier selection using a combined fuzzy MCDM approach: A case study for a telecommunication company. Exp. Syst. Appl. 36 (2009) 3887–3895. | DOI
, and ,C. Romero, Handbook of critical issues in goal programming. Pergamon, Oxford (1991) | Zbl
A general structure of achievement function for a goal programming model. Eur. J. Oper. Res. 153 (2004) 675–686. | DOI | MR | Zbl
,Evaluating and selecting e-commerce software and communication systems for a supply chain. Eur. J. Oper. Res. 159 (2004) 318–329. | DOI | Zbl
and ,A mathematical theory of communication. Bell Syst. Tech. J. 27 (1948) 379–423 and 623–656. | DOI | MR | Zbl
,R.W. Shephard and R. Färe, Dynamic theory of production correspondences. Meisenheim, Verlag Anton, Hain (1980). | Zbl
Incorporating quality into data envelopment analysis of nursing home performance: a case study. Omega 37 (2009) 672–85. | DOI
, and ,Goal directed benchmarking for organizational efficiency. Omega 38 (2010) 534–539. | DOI
,Network DEA: A slacks-based measure approach. Eur. J. Oper. Res. 197 (2009) 243–252. | DOI | Zbl
and ,An application of the method of combined radix determination for selecting construction supply chain partners. Int. J. Project Manage. 25 (2007) 128–133. | DOI
, and ,Supply chain performance measurement system: A Monte Carlo DEA-based approach. Int. J. Ind. Syst. Eng. 3 (2008) 162–188.
, and ,Supply chain performance measurement system using DEA modeling. Ind. Manage. Data Syst. 107 (2007) 361–381. | DOI
and ,Evaluating the cross-efficiency of information sharing in supply chains. Exp. Syst. Appl. 37 (2010) 2891–2897. | DOI
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