- Enzebati and S. DakngKoub, “Application of a Combined fuzzy multi-Criteria Decision Approach for Evaluation and Selection Supplier: Provide a Conceptual Framework for Nian Electronic,” International Journal of Supply Chain, no.69, pp.102-83. 2020. (in persian).##
- M. Beamon and V. C .P. Chen, “Performance analysis of conjoined supply chains,” International Journal of Production Research, vol. 39, no. 14,
pp. 195-218. 2015.##
- Gunasekaran and C. Patel, “Tirtiroglu, Performance measures and metrics in a supply chain environment,” International Journal of Operations & Production Management, vol. 21, no 1/2, pp. 71-87. 2001.##
- Ross, C. Droge, “An integrated benchmarking approach to distribution center performance using DEA modeling,” Journal of Operations Management, Vol. 20, 19–32. 2012.##
- Easton, D.j. Murphy and J.N. Pearson, “Purchasing performance evaluation: with data envelopment analysis,” European Journal of Purchasing & Supply Management, Vol. 8, 123. 2012.##
- Talluri and R. Narasimhan and A. Nair, “Vendor performance with supply risk: a chance-constrained DEA approach,” International Journal of Production Economics, Vol. 100. 2016.##
- P. Wong and K.Y. Wong, “Supply chain performance measurement system using DEA modeling,” Industrial Management and Data Systems, Vol. 107, 361-381. 2007.##
- Wen, C. You and R. Kang, “A new ranking method to fuzzy data envelopment analysis,” Computers and Mathematics with Application, Vol. 59, pp. 3398-3404. 2010.##
- Okhravi and S. Mosavi, “ Evaluate the supply chain performance of BSC-based projects and lean thinking; Case study: Petrochemical projects,” International Journal of Supply Chain, N62,
pp 87-73. 2019 (in persian).##
- Bhagwat and M. k. Sherma, “performance measurement of supply chain management: A balanced Scorecard approach, Computer and Industrial Engineering, vol.53, no.1, pp.43-62. 2007.##
- Wu and D.L Olson, “Supply chain risk, simulation, and vendor selection. International Journal of Production Economics, Vol. 114, 645–655. 2015.##
- Liang, F. Yang, W.d Cook and J. Zhu, “DEA model for supply chain efficiency evaluation, Ann. Oper. Res, 145 (1), 35–49. 2014.##
- Chen and L. Liang and F. Yang, “A DEA game model approach to supply chain. 2011.##
- Li and C. O. Brien, “Integrated decision modeling of supply chain efficiency,” International Journal of Production Economics, Vol. 59, 147-157. 1999.##
- Hwang and D. Lin, “The performance evaluation of SCOR sourcing process-The case study of Taiwan’s TFT-LCD industry ,” International Journal of Production Economics, Vol. 115, 411– 423. 2008.##
- M. Beamon, “Measuring supply chain performance,” International Journal of Production management, Vol. 19275-292. 1999.##
- T. S. Chan, “Performance Measurement in a Supply Chain,” International Journal of Advanced Manufacturing Technology, vol. 21, 534–548. 2013.##
- T. S. Chan and H. J. Qi, “An innovative performance measurement method for supply chain management, Supply chain management,” An international Journal vol. 8, no. 3, pp. 209-223. 2003.##
- Comelli and P. Féniès N. Tchernev, “A combined financial and physical flows evaluation for logistic process and tactical production planning: Application in a company supply chain,” International Journal of production economics, vol .112, no. 1. 2008.##
- Golany and S. T. Hackman and U. Passy, “An efficiency measurement framework for multi-stage production systems,” Ann. Oper. Res, vol. 145, pp. 51–68. 2006.##
- Tavana and H. Mirzagoltabar and S.M. Mirhedayatian and R. Farzipoor Saen and M. Azadi, “A new network epsilon-based DEA model for supply chain performance evaluation. Computers & Industrial Engineering, vol. 66,##
- pp. 501–513. 2013. (in persian).##
- Ebrahimnejad and M. Tavana, F. Hosseinzadeh Lotfi and R. Shahverdi and M. Yousefpour, “A three-stage Data Envelopment Analysis model with application to banking industry,” Measurement, vol. 49, pp. 308– 319. (in persian). 2014.##
- M. Mirhedayatian, M. Azadi and R. Farzipoor Saen, “A novel network data envelopment analysis model for evaluating green supply chain management,” International Journal of Production Economics. vol. 147, pp. 544– 554. 2014 (in persian).##
- Bamdad Soofi and A. Ebrahimpour, “A Model for Evaluating Supply Chain Performance Using Network Data Envelopment Analysis Model (Case: Supply Chain of Pharmaceutical Companies of Tehran Stock Exchange) ,” Quarterly Journal of Industrial Management.Studies. no. 26. pp. 8-46, 1391 (in persian).##
- Shafiee and M. Ghaderi and H. Saleh, “Benchmarking in the Supply Chain Using Data Envelopment Analysis and System Dynamics Simulations,” Iranian Journal of Supply Chain Management, vol. 23, pp. 55-70. 2021. (in persian).##
- Charnes and W.W. Cooper and A.Y. Lewin, “Data envelopment analysis: theory, methodology and applications,” Kluwer Academic Publishers, Boston. 1978.##
- Guo and H. Tanaka, “Fuzzy DEA: a perceptual evaluation method, Fuzzy Sets and Systems,” vol. 119, pp. 149-160. 2011.##
- L. Lee and C. Billington, “Managing supply chain inventory: pitfalls and opportunities,” Sloan Management Review, spring ,pp. 65-73. 2011.##
- Xu and Li Bin and D. Wu, “Rough data envelopment analysis and its application to supply chain performance evaluation,” International Journal of Production Economics, vol. 122, 628. 2009.##
- Estampe and S. Lamouri and J.L Paris and S.B. Djelloul, “A framework for analyzing supply chain performance evaluation model,” International Journal of Production Economics. DOI:10.1016,
j. ijpe 14. 2010.##
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