Efficiency evaluation of closed-loop supply chains with proportional dual-role measures

Monireh Jahani Sayyad Noveiri; Sohrab Kordrostami; Alireza Amirteimoori

Kybernetika (2020)

  • Volume: 56, Issue: 4, page 695-721
  • ISSN: 0023-5954

Abstract

top
Data Envelopment Analysis (DEA) is a beneficial mathematical programming method to measure relative efficiencies. In conventional DEA models, Decision Making Units (DMUs) are usually considered as black boxes. Also, the efficiency of DMUs is evaluated in the presence of the specified inputs and outputs. Nevertheless, in real-world applications, there are situations in which the performance of multi-stage processes like supply chains with forward and reverse flows must be measured such that some of the intervening factors, called proportional dual-role factors, are presented that one part of each proportional dual-role factor plays the input role and the other plays the output role. To address this issue, the current study proposes radial and non-radial DEA models for evaluating the overall and stage efficiencies of the closed-loop supply chains when there are proportional dual-role factors. To illustrate, a proportional dual-role factor is divided into portions of the input of the first stage and the output of the second stage such that the optimal overall and stage efficiency scores of closed-loop supply chain are obtained. A case study is used to illustrate the proposed approach. The experimental results obtained from real world data show the convincing performance of our proposed method.

How to cite

top

Jahani Sayyad Noveiri, Monireh, Kordrostami, Sohrab, and Amirteimoori, Alireza. "Efficiency evaluation of closed-loop supply chains with proportional dual-role measures." Kybernetika 56.4 (2020): 695-721. <http://eudml.org/doc/297144>.

@article{JahaniSayyadNoveiri2020,
abstract = {Data Envelopment Analysis (DEA) is a beneficial mathematical programming method to measure relative efficiencies. In conventional DEA models, Decision Making Units (DMUs) are usually considered as black boxes. Also, the efficiency of DMUs is evaluated in the presence of the specified inputs and outputs. Nevertheless, in real-world applications, there are situations in which the performance of multi-stage processes like supply chains with forward and reverse flows must be measured such that some of the intervening factors, called proportional dual-role factors, are presented that one part of each proportional dual-role factor plays the input role and the other plays the output role. To address this issue, the current study proposes radial and non-radial DEA models for evaluating the overall and stage efficiencies of the closed-loop supply chains when there are proportional dual-role factors. To illustrate, a proportional dual-role factor is divided into portions of the input of the first stage and the output of the second stage such that the optimal overall and stage efficiency scores of closed-loop supply chain are obtained. A case study is used to illustrate the proposed approach. The experimental results obtained from real world data show the convincing performance of our proposed method.},
author = {Jahani Sayyad Noveiri, Monireh, Kordrostami, Sohrab, Amirteimoori, Alireza},
journal = {Kybernetika},
keywords = {data envelopment analysis (DEA); efficiency; closed-loop supply chain; proportional dual-role factor; input/output},
language = {eng},
number = {4},
pages = {695-721},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Efficiency evaluation of closed-loop supply chains with proportional dual-role measures},
url = {http://eudml.org/doc/297144},
volume = {56},
year = {2020},
}

TY - JOUR
AU - Jahani Sayyad Noveiri, Monireh
AU - Kordrostami, Sohrab
AU - Amirteimoori, Alireza
TI - Efficiency evaluation of closed-loop supply chains with proportional dual-role measures
JO - Kybernetika
PY - 2020
PB - Institute of Information Theory and Automation AS CR
VL - 56
IS - 4
SP - 695
EP - 721
AB - Data Envelopment Analysis (DEA) is a beneficial mathematical programming method to measure relative efficiencies. In conventional DEA models, Decision Making Units (DMUs) are usually considered as black boxes. Also, the efficiency of DMUs is evaluated in the presence of the specified inputs and outputs. Nevertheless, in real-world applications, there are situations in which the performance of multi-stage processes like supply chains with forward and reverse flows must be measured such that some of the intervening factors, called proportional dual-role factors, are presented that one part of each proportional dual-role factor plays the input role and the other plays the output role. To address this issue, the current study proposes radial and non-radial DEA models for evaluating the overall and stage efficiencies of the closed-loop supply chains when there are proportional dual-role factors. To illustrate, a proportional dual-role factor is divided into portions of the input of the first stage and the output of the second stage such that the optimal overall and stage efficiency scores of closed-loop supply chain are obtained. A case study is used to illustrate the proposed approach. The experimental results obtained from real world data show the convincing performance of our proposed method.
LA - eng
KW - data envelopment analysis (DEA); efficiency; closed-loop supply chain; proportional dual-role factor; input/output
UR - http://eudml.org/doc/297144
ER -

References

top
  1. Amirteimoori, A., 10.1007/s10100-011-0218-3, Cent. Eur. J. Oper. Res. 21 (2013), 141-151. MR3016880DOI10.1007/s10100-011-0218-3
  2. Amirteimoori, A., Khoshandam, L., 10.1155/2011/608324, Adv. Decision Sci. 8 (2011), 1-8. MR2862474DOI10.1155/2011/608324
  3. Amirteimoori, A., Khoshandam, L., Kordrostami, S., 10.1504/ijor.2013.055529, Int. J. Oper. Res. 18 (2013), 62-70. MR3136122DOI10.1504/ijor.2013.055529
  4. Amirteimoori, A., Kordrostami, S., Azizi, H., 10.1016/j.trd.2015.12.016, Transport. Res. D-Tr. E. 48 (2016), 411-424. DOI10.1016/j.trd.2015.12.016
  5. Amirteimoori, A., Toloie-Eshlaghi, A., Homayoonfar, M., Efficiency measurement in Two-Stage network structures considering undesirable outputs., Int. J. Industr. Math. 6 (2014), 65-71. 
  6. Amirteimoori, A., Yang, F., 10.1051/ro/2013057, RAIRO-Oper. Res. 48 (2014), 123-134. MR3177881DOI10.1051/ro/2013057
  7. Atici, K. B., Podinovski, V. V., 10.1016/j.omega.2015.01.015, Omega 54 (2015), 72-83. DOI10.1016/j.omega.2015.01.015
  8. Sacoto, S. Avilés, Castorena, D. G., Cook, W. D., Delgado, H. C., 10.1016/j.omega.2015.01.019, Omega 55 (2015), 1-9. DOI10.1016/j.omega.2015.01.019
  9. Aviles-Sacoto, S., Cook, W. D., Imanirad, R., Zhu, J., 10.1057/jors.2015.14, J. Oper. Res. Soc. 66 (2015), 1868-1877. DOI10.1057/jors.2015.14
  10. Avkiran, N. K., 10.1016/j.omega.2014.07.002, Omega 55 (2015), 141-150. DOI10.1016/j.omega.2014.07.002
  11. Balfaqih, H., Nopiah, Z. M., Saibani, N., Al-Nory, M. T., 10.1016/j.compind.2016.07.002, Comput. Ind. 82 (2016), 135-150. DOI10.1016/j.compind.2016.07.002
  12. Beasley, J. E., 10.1016/0305-0483(90)90064-g, Omega 18 (1990), 171-183. DOI10.1016/0305-0483(90)90064-g
  13. Beasley, J. E., 10.1057/jors.1995.63, J. Oper. Res. Soc. 46 (1995), 441-452. DOI10.1057/jors.1995.63
  14. Bian, Y., Liang, N., Xu, H., 10.1016/j.jclepro.2014.10.055, J. Clean. Prod. 87 (2015), 348-356. MR3679962DOI10.1016/j.jclepro.2014.10.055
  15. Chao, C. M., Yu, M. M., Wu, H. N., 10.1016/j.jclepro.2014.10.055, Emerg. Mark. Financ. Tr. 51 (2015), S133- S151. DOI10.1016/j.jclepro.2014.10.055
  16. Charnes, A., Cooper, W. W., 10.1002/nav.3800090303, Na. Res. Logist. Q. 9 (1962), 181-186. MR0152370DOI10.1002/nav.3800090303
  17. Charnes, A., Cooper, W. W., Rhodes, E., 10.1016/0377-2217(78)90138-8, Eur. J. Oper. Res. 2 (1978), 429-444. Zbl0425.90086MR0525905DOI10.1016/0377-2217(78)90138-8
  18. Chen, W. C., 10.1080/0740817x.2012.721943, IIE. Trans. 7 (2014), 653-663. DOI10.1080/0740817x.2012.721943
  19. Chen, Y., Du, J., Sherman, H. D., Zhu, J., 10.1016/j.ejor.2010.03.031, Eur. J. Oper. Res. 207 (2010), 339-349. MR2659449DOI10.1016/j.ejor.2010.03.031
  20. Chen, C., Yan, H., 10.1016/j.ejor.2011.03.010, Eur. J. Oper. Res. 213 (2011), 147-155. MR2795818DOI10.1016/j.ejor.2011.03.010
  21. Cook, W. D., Green, R. H., Zhu, J., 10.1080/07408170500245570, IIE. Trans. 38 (2006), 105-115. DOI10.1080/07408170500245570
  22. Cook, W. D., Zhu, J., 10.1016/j.ejor.2006.03.048, Eur. J. Oper. Res. 180 (2007), 692-699. DOI10.1016/j.ejor.2006.03.048
  23. Despotis, D. K., Sotiros, D., Koronakos, G., 10.1016/j.omega.2015.07.005, Omega 61 (2016), 35-48. DOI10.1016/j.omega.2015.07.005
  24. Du, J., Chen, Y., Huo, J., 10.1016/j.omega.2014.10.001, Omega 56 (2015), 122-132. DOI10.1016/j.omega.2014.10.001
  25. Fang, L., 10.1057/jors.2013.153, J. Oper. Res. Soc. 65 (2014), 1781-1787. DOI10.1057/jors.2013.153
  26. Färe, R., Grosskopf, S., 10.1016/s0038-0121(99)00012-9, Socio. Econom. Plan. Sci. 34 (2000), 35-49. DOI10.1016/s0038-0121(99)00012-9
  27. Färe, R., Grosskopf, S., 10.1016/0165-1765(95)00729-6, Econom. Lett. 50 (1996), 65-70. DOI10.1016/0165-1765(95)00729-6
  28. Färe, R., Lovell, C. A. Knox, 10.1016/0022-0531(78)90060-1, J. Econom. Theory. 19 (1978), 150-162. MR0520432DOI10.1016/0022-0531(78)90060-1
  29. Färe, R., Primont, D., 10.1016/0167-6377(84)90057-9, Oper. Res. Lett. 3 (1984), 257-260. MR0777641DOI10.1016/0167-6377(84)90057-9
  30. Fukuyama, H., Weber, W. L., 10.1007/s11123-014-0403-1, J. Prod. Anal. 44 (2015), 249-264. DOI10.1007/s11123-014-0403-1
  31. Heidari, M. D., Omid, M., Akram, A., 10.5539/mas.v5n3p69, Modern Appl. Sci. 5 (2011), 69-78. DOI10.5539/mas.v5n3p69
  32. Johnes, J., 10.1016/j.econedurev.2005.02.005, Econom. Educ. Rev. 25 (2006), 273-288. DOI10.1016/j.econedurev.2005.02.005
  33. Kao, C., 10.1016/j.ejor.2007.10.008, Eur. J. Oper. Res. 192 (2009), 949-962. MR3225350DOI10.1016/j.ejor.2007.10.008
  34. Kao, C., 10.1016/j.ejor.2008.04.020, Eur. J. Oper. Res. 196 (2009), 1107-1112. DOI10.1016/j.ejor.2008.04.020
  35. Kao, C., Hwang, S. N., 10.1016/j.ejor.2006.11.041, Eur. J. Oper. Res. 185 (2008), 418-429. DOI10.1016/j.ejor.2006.11.041
  36. Kao, C., Hwang, S. N., 10.1016/j.dss.2009.06.002, Decision Support Syst. 48 (2010), 437-446. DOI10.1016/j.dss.2009.06.002
  37. Kordrostami, S., Noveiri, M. Jahani Sayyad, 10.17485/ijst/2012/v5i12.20, Indian. J. Sci. Technol. 5 (2012), 3776-3782. DOI10.17485/ijst/2012/v5i12.20
  38. Liang, L., Li, Z. Q., Cook, W. D., Zhu, J., 10.1080/0740817x.2010.509307, IIE Trans. 43 (2011), 309-322. DOI10.1080/0740817x.2010.509307
  39. Liang, L., Yang, F., Cook, W. D., Zhu, J., 10.1007/s10479-006-0026-7, Ann. Oper. Res. 145 (2006), 35-49. Zbl1106.90045MR2258637DOI10.1007/s10479-006-0026-7
  40. Liu, W., Zhou, Z., Ma, C., Liu, D., Shen, W., 10.1016/j.omega.2015.03.009, Omega 56 (2015), 74-87. MR3362977DOI10.1016/j.omega.2015.03.009
  41. Lozano, S., 10.1016/j.cie.2015.01.008, Comput. Ind. Eng. 82 (2015), 33-40. DOI10.1016/j.cie.2015.01.008
  42. Lozano, S., 10.1016/j.omega.2015.02.012, Omega 60 (2016), 73-84. DOI10.1016/j.omega.2015.02.012
  43. Lozano, S., Gutiérrez, E., Moreno, P., 10.1016/j.apm.2012.04.041, Appl. Math. Model. 37 (2013), 1665-1676. DOI10.1016/j.apm.2012.04.041
  44. Ma, J., 10.1016/j.eswa.2015.01.040, Expert. Syst. Appl. 42 (2015), 4339-4347. DOI10.1016/j.eswa.2015.01.040
  45. Maghbouli, M., Amirteimoori, A., Kordrostami, S., 10.1016/j.measurement.2013.10.032, Measurement 48 (2014), 109-118. DOI10.1016/j.measurement.2013.10.032
  46. Momeni, E., Tavana, M., Mirzagoltabar, H., Mirhedayatian, S. M., 10.3233/ifs-131037, J. Intell. Fuzzy Syst. 27 (2014), 793-804. MR3256936DOI10.3233/ifs-131037
  47. Omrani, H., Soltanzadeh, E., 10.1016/j.jairtraman.2016.07.014, J. Air. Transp. Manag. 57 (2016), 52-61. DOI10.1016/j.jairtraman.2016.07.014
  48. Pastor, J. T., Ruiz, J. L., Sirvent, I., 10.1016/s0377-2217(98)00098-8, Eur. J. Oper. Res. 115 (1999), 596-607. DOI10.1016/s0377-2217(98)00098-8
  49. Rezaee, A., Esmaielzadeh, A., Application of data envelopment analysis to evaluation energy efficiency in broiler production farms (case study: Maku free zone)., Animal. Sci. J. 30 (2018), 27-40. 
  50. Seiford, L. M., Zhu, J., 10.1287/mnsc.45.9.1270, Management Sci. 45 (1999), 1270-1288. DOI10.1287/mnsc.45.9.1270
  51. Shabani, A., Saen, R. Farzipoor, 10.1108/bij-12-2012-0087, Benchmark. Int. J. 22 (2015), 711-730. DOI10.1108/bij-12-2012-0087
  52. Tajbakhsh, A., Hassini, E., 10.1016/j.jclepro.2014.07.054, J. Clean. Prod. 105 (2015), 74-85. DOI10.1016/j.jclepro.2014.07.054
  53. Tavana, M., Mirzagoltabar, H., Mirhedayatian, S. M., Saen, R. Farzipoor, Azadi, M., 10.1016/j.cie.2013.07.016, Comput. Ind. Engrg. 66 (2013), 501-513. DOI10.1016/j.cie.2013.07.016
  54. Toloo, M., Keshavarz, E., Hatami-Marbini, A., 10.1016/j.omega.2017.05.005, Omega 77 (2018), 15-31. DOI10.1016/j.omega.2017.05.005
  55. Tone, K., Tsutsui, M., 10.1016/j.ejor.2008.05.027, Eur. J. Oper. Res. 197 (2009), 243-252. DOI10.1016/j.ejor.2008.05.027
  56. Tone, K., Tsutsui, M., 10.1016/j.omega.2013.04.002, Omega 42 (2014), 124-131. DOI10.1016/j.omega.2013.04.002
  57. Wei, Q. L., Chang, T. S, 10.1057/jors.2010.45, J. Oper. Res. Soc. 62 (2011), 1109-1119. DOI10.1057/jors.2010.45
  58. Wu, J., Zhu, Q., Ji, X., Chu, J., Liang, L., 10.1016/j.ejor.2015.10.049, Eur. J. Oper. Res. 251 (2016), 182-197. MR3447062DOI10.1016/j.ejor.2015.10.049
  59. Yang, F., Wu, D., Liang, L., Bi, G., Wu, D. D., 10.1007/s10479-008-0511-2, Ann. Oper. Res. 185 (2011), 195-211. MR2788794DOI10.1007/s10479-008-0511-2
  60. Zhu, J., 10.1007/978-3-319-06647-9_15, In: Quantitative Models for Performance Evaluation And Benchmarking: Data Envelopment Analysis with Spreadsheets. Springer International Publishing: Cham. 2014, pp. 311-344. MR3308434DOI10.1007/978-3-319-06647-9_15

NotesEmbed ?

top

You must be logged in to post comments.

To embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.

Only the controls for the widget will be shown in your chosen language. Notes will be shown in their authored language.

Tells the widget how many notes to show per page. You can cycle through additional notes using the next and previous controls.

    
                

                
Note: Best practice suggests putting the JavaScript code just before the closing </body> tag.