Integrating DEA with DE and MODE for sustainable supplier selection

Journal of Computational Science

Volumn 21, Issue , 2017, Pages 299-306

  Jauhar, Sunil Kumar ^a   Pant, Millie ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

Author keywords

Automotive industry; Data envelop analysis; Differential evolution; Performance measurement; Sustainable supplier selection

Indexed keywords

EVOLUTIONARY ALGORITHMS; OPTIMIZATION;

DATA ENVELOP ANALYSIS; DE ALGORITHMS; DIFFERENTIAL EVOLUTION; MULTI-CRITERIA; PERFORMANCE EVALUATION TOOLS; PERFORMANCE MEASUREMENTS; SUSTAINABLE SUPPLIER SELECTIONS;

AUTOMOTIVE INDUSTRY;

EID: 85015320885     PISSN: 18777503     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jocs.2017.02.011     Document Type: Article

References (56)

1. Lima Ribeiro, V.P., Aibar-Guzman, C., Determinants of environmental accounting practices in local entities: evidence from Portugal. Soc. Responsib. J. 6:3 (2010), 404–419.
2. Chavan, M., An appraisal of environment management systems: a competitive advantage for small businesses. Manage. Environ. Qual. 16:5 (2005), 444–463.
3. Carter, J.R., Narasimhan, R., Is purchasing really strategic?. Int. J. Purchas. Mater. Manage. 32:4 (1996), 20–28.
4. Spekman, R.E., Kamauff, J., Spear, J., Towards more effective sourcing and supplier management. Eur. J. Purchas. Supply Manage. 5:2 (1999), 103–116.
5. Chen, I.J., Paulraj, A., Towards a theory of supply chain management: the constructs and measurements. J. Oper. Manage. 22:2 (2004), 119–150.
6. Prahinski, C., Benton, W.C., Supplier evaluations: communication strategies to improve supplier performance. J. Oper. Manage. 22:1 (2004), 39–62.
7. Modi, S.B., Mabert, V.A., Supplier development: improving supplier performance through knowledge transfer. J. Oper. Manage. 25:1 (2007), 42–64.
8. Genovese, A., Koh, S.L., Bruno, G., Bruno, P., Green supplier selection: a literature review and a critical perspective. Supply Chain Management and Information Systems (SCMIS), 2010 8th International Conference, IEEE, 2010, 1–6 (October).
9. Noci, G., Designing “green” vendor rating systems for the assessment of a suppliers environmental performance. Eur. J. Purchas. Supply Manage., 3(2), 1997, 103e114.
10. Handfield, R., Walton, S.V., Sroufe, R., Melnyk, S.A., Applying environmental criteria to supplier assessment: a study in the application of the analytical hierarchy process. Eur. J. Oper. Res., 141, 2002, 70e87.
11. Hsu, C.W., Hu, A.H., Applying hazardous substance management to supplier selection using analytic network process. J. Clean. Prod., 17, 2009, 255e264.
12. Beske, P., Koplin, J., Seuring, S., The use of environmental and social standards by German first-tier suppliers of the Volkswagen AG. Corp. Soc. Responsib. Environ. Manage. 15:2 (2008), 63–75.
13. Chiou, C.Y., Hsu, C.W., Hwang, W.Y., Comparative investigation on green supplier Selection of the American, Japanese and Taiwanese electronics industry in China. International Conference on IE&EM, IEEE 8e11 December, 1914, 19091914.
14. Bai, C., Sarkis, J., Green supplier development: analytical evaluation using rough set theory. J. Clean. Prod. 18:12 (2010), 1200–1210.
15. Genovese, A., Koh, S.L., Bruno, G., Bruno, P., Green supplier selection: a literature review and a critical perspective. Supply Chain Management and Information Systems (SCMIS), 2010 8th International Conference, IEEE, 2010, 1–6.
16. Grisi, R.M., Guerra, L., Naviglio, G., Supplier performance evaluation for green supply chain management. Bus. Perform. Meas. Manage.(Part 4), 2010, 149e163.
17. Feyziogelu, O., Büyüközkan, G., Evaluation of green suppliers considering decision criteria dependencies. Lecture Notes in Economics and Mathematical Systems 1, 634, Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems, 2010, 145e154 (Part 2).
18. Lu, L.Y.Y., Wu, C.H., Kuo, T.C., Environmental principles applicable to green supplier evaluation by using multi-objective decision analysis. Int. J. Prod. Res., 45(18e19), 2007, 43174331.
19. Lee, A.H.I., Kang, H.Y., Hsu, C.F., Hung, H.C., A green supplier selection model for high-tech industry. Expert Syst. Appl., 36, 2009, 79177927.
20. Buyukozkan, G., CifcI, G., A novel fuzzy multi-criteria decision framework for sustainable supplier selection with incomplete information. Comput. Ind., 62, 2011, 164e174.
21. Yeh, W.C., Chuang, M.C., Using multi-objective genetic algorithm for partner selection in green supply chain problems. Expert Syst. Appl., 38, 2011, 42444253.
22. Kumar, A., Jain, V., Kumar, S., Chandra, C., Green supplier selection: a new genetic/immune strategy with industrial application. Enterp. Info. Syst. 10:8 (2016), 911–943.
23. Fallahpour, Alireza, Ezutah Udoncy Olugu, Siti Nurmaya Musa, Dariush Khezrimotlagh, and Kuan Yew Wong An integrated model for green supplier selection under fuzzy environment: application of data envelopment analysis and genetic programming approach. Neural Comput. Appl. 27 (2016), 707–725.
24. Kuo, R., Wang, Y., Tien, F., Integration of artificial neural network and MADA methods for green supplier selection. J. Clean. Prod. 18:no. 12 (2010), 1161–1170.
25. Charnes, A., Cooper, W.W., Rhodes, E., Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2:6 (1978), 429–444.
26. Farrell, M.J., The measurement of productive efficiency. J. R. Stat. Soc. Ser. A (Gen.) 120:3 (1957), 253–290.
27. Banker, R.D., Charnes, A., Cooper, W.W., Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manage. Sci. 30:9 (1984), 1078–1092.
28. Srinivas, T., Data envelopment analysis: models and extensions. Production/Operation Management Decision Line, 2000, 8–11.
29. A Tool for Performance Measurement. Ramanathan, R., (eds.), 2003, Sage Publication Ltd., New Delhi.
30. Price, K., Storn, R., Differential evolution: a simple evolution strategy for fast optimization. Dr. Dobbs J. 22:4 (1997), 18–24.
31. Ankaiah, N., Ravi, V., Multi objective constrained optimisation of data envelopment analysis by differential evolution. Int. J. Inf. Decis. Sci. 7:4 (2015), 334–357.
32. Mogha, S.K., Yadav, S.P., Application of differential evolution for data envelopment analysis. Int. J. Data Sci., 1(3), 2016, 247.
33. Jauhar, S.K., Pant, M., Nagar, A.K., Sustainable educational supply chain performance measurement through DEA and differential evolution: a case on Indian HEI. J. Comput. Sci., 2016.
34. Kumar Jauhar, S., Pant, M., Nagar, M.C., Differential evolution for sustainable supplier selection in pulp and paper industry: a DEA based approach. Comput. Methods Mater. Sci., 2015, 15.
35. Kao, C., Hung, H.T., ‘Data envelopment analysis with common weights: the compromise solution approach’. J. Oper. Res. Soc. 56:No. 10 (2005), 1196–1203.
36. Lotfi, F.H., Jahanshahloo, G.R., Soltanifar, M., Ebrahimnejad, A., Mansourzadeh, S.M., Relationship between MOLP and DEA based on output-orientated CCR dual model. Expert Syst. Appl. 37:6 (2010), 4331–4336.
37. Ghazi, A., Lotfi, F.H., Jahanshahloo, G.H., Sanei, M., Classifying the usage of multiple objective decision making techniques in data envelopment analysis. Data Envelopment Analysis and Effective Performance Assessment, 2016, 1.
38. Wu, J., Zhu, Q., An, Q., Chu, J., Ji, X., Resource allocation based on context-dependent data envelopment analysis and a multi-objective linear programming approach. Comput. Ind. Eng. 101 (2016), 81–90.
39. Angulo-Meza, L., Soares-de Mello, J.C.C., Figueiredo-Gomes-Júnior, S., A multiobjective approach for non-discretionary variables in data envelopment analysis. Dyna 83:195 (2016), 9–15.
40. Hatami-Marbini, A., Ebrahimnejad, A., Lozano, S., Fuzzy efficiency measures in data envelopment analysis using lexicographic multiobjective approach. Comput. Ind. Eng., 2017.
41. Chen, C., Achtari, G., Majkut, K., Sheu, J.B., Balancing equity and cost in rural transportation management with multi-objective utility analysis and data envelopment analysis: a case of Quinte West. Transp. Res. Part A: Policy Pract. 95 (2017), 148–165.
42. Ali, M., Siarry, P., Pant, M., An efficient differential evolution based algorithm for solving multi-objective optimization problems. Eur. J. Oper. Res. 217:2 (2012), 404–416.
43. Ray, T., Kang, T., Chye, S.K., An evolutionary algorithm for constraint optimization. Whitley, D., Goldberg, D., Cantu-Paz, E., Spector, L., Parmee, I., Beyer, H.G., (eds.) Proceeding of the Genetic and Evolutionary Computation Conference (GECCO 2000), 2000, 771–777.
44. Scannell, T.V., Vickery, S.K., Droge, C.L., Upstream supply chain management and competitive performance in the automotive supply industry. J. Bus. Logist., 21(1), 2000.
45. Koplin, J., Seuring, S., Mesterharm, M., Incorporating sustainability into supply management in the automotive industry: the case of the Volkswagen AG. J. Clean. Prod. 15:11–12 (2007), 1053–1062.
46. Luthra, S., Qadri, M.A., Garg, D., Haleem, A., Identification of critical success factors to achieve high green supply chain management performances in Indian automobile industry. Int. J. Logist. Syst. Manage. 18:2 (2014), 170–199.
47. Noci, G., Designing ‘green'vendor rating systems for the assessment of a supplier's environmental performance. Eur. J. Purchas. Supply Manage. 3:2 (1997), 103–114.
48. Handfield, R., Walton, S.V., Sroufe, R., Melnyk, S.A., Applying environmental criteria to supplier assessment: a study in the application of the Analytical Hierarchy Process. Eur. J. Oper. Res. 141:1 (2002), 70–87.
49. Büyüközkan, G., Çifçi, G., A novel fuzzy multi-criteria decision framework for sustainable supplier selection with incomplete information. Comput. Ind. 62:2 (2011), 164–174.
50. Büyüközkan, G., Çifçi, G., Evaluation of the green supply chain management practices: a fuzzy ANP approach. Prod. Plann. Control 23:6 (2012), 405–418.
51. Kumar, A., Jain, V., Kumar, S., A comprehensive environment friendly approach for supplier selection. Omega 42:1 (2014), 109–123.
52. Jauhar, S.K., Pant, M., Sustainable sulier selection: a new differential evolution strategy with automotive industry application. Recent developments and new direction in soft-computing foundations and applications, 2016, Springer International Publishing, 353–371.
53. Jauhar, S.K., Pant, M., Using differential evolution to develop a carbon-integrated model for performance evaluation and selection of sustainable suppliers in indian automobile supply chain. Proceedings of Fifth International Conference on Soft Computing for Problem Solving, 2016, Springer, Singapore, 515–528.
54. Shirouyehzad, H., Lotfi, F.H., Dabestani, R., A data envelopment analysis approach based on the service quality concept for vendor selection. International Conference on Computers & Industrial Engineering, 2009, CIE, 6–9 July 2009, 2009, 426–430, 10.1109/ICCIE. 2009.5223823.
55. 2 Emission: (Accessed 12 October 2015) http://www.london2012.com/documents/locog-publications/locog-guidelines-on-carbonemissions-of-products-and-services.pdf.
56. Coelli, T., A guide to DEAP version 2.1: a data envelopment analysis (computer) program. Centre for Efficiency and Productivity Analysis, 1996, University of New England, Australia.