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Sustainable Supplier Selection: A New Differential Evolution Strategy with Automotive Industry Application

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Recent Developments and New Direction in Soft-Computing Foundations and Applications

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 342))

Abstract

Modern times, highly competitive, global operating environment, sustainability plays a very vital role. Changing climatic conditions and environmental deterioration has multi dimensional impact on every sphere of life forms and life form driving processes. Public hold on corporations responsible for ecological misconduct in their supply chains getting more firm with time. To counter the threat it’s a high time industries started taking initiatives for sustainability in their supply chains. In spite of that, suppliers often are unsuccessful to appropriately contribute in these initiatives. Hence, present paper justifies the supplier involvement in sustainable initiatives in supply chain management (SCM) with using differential evolution (DE) to select the efficient sustainable suppliers providing the maximum fulfillment for the sustainable criteria determined. Finally, two illustrative cases on automotive industry validate the application of the present approach.

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References

  1. Storn, R., Price, K.: Differential evolution—a simple and efficient adaptive scheme for global optimization over continuous spaces. Technical Report TR-95-012, Berkeley, CA (1995)

    Google Scholar 

  2. Plagianakos, V., Tasoulis, D., Vrahatis, M.: A review of major application areas of differential evolution. In: Advances in Differential Evolution, vol. 143, pp. 197–238. Springer, Berlin (2008)

    Google Scholar 

  3. Wang, F., Jang, H.: Parameter estimation of a bio reaction model by hybrid differential evolution. In: Proceedings of IEEE Congress on Evolutionary Computation (CEC-2000), pp. 410–417 (2000)

    Google Scholar 

  4. Joshi R., Sanderson, A.: Minimal representation multi sensor fusion using differential evolution. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 29(1), 63–76 (1999)

    Google Scholar 

  5. Ilonen, J., Kamarainen, J., Lampine, J.: Differential evolution training algorithm for feed-forward neural networks. Neural Process. Lett. 17(1), 93–105 (2003)

    Article  Google Scholar 

  6. Ali, M., Siarry, P., Pant, M.: An efficient differential evolution based algorithm for solving multi-objective optimization problems. Eur. J. Oper. Res. 217(2), 404–416 (2012)

    Google Scholar 

  7. Jayal, A., Badurdeen, F., Dillon Jr, O., Jawahir, I.: Sustainable manufacturing: modeling and optimization challenges at the product, process and system levels. CIRP J. Manufact. Sci. Technol. 2, 144–152 (2010)

    Article  Google Scholar 

  8. Floridi, M., Pagni, S., Falorni, S., Luzzati, T.: An exercise in composite indicators construction: assessing the sustainability of Italian regions. Ecol. Econ. 70, 1440 (2011)

    Google Scholar 

  9. Luthe, T., Schuckert, M.: Socially responsible investing—implications for leveraging sustainable development. In: Trends and Issues in Global Tourism, pp. 315–321 (2011)

    Google Scholar 

  10. Paoletti, M., Gomiero, T., Pimentel, D.: Introduction to the special issue: towards a more sustainable agriculture. Crit. Rev. Plant Sci. 30(1), 2–5 (2011)

    Article  Google Scholar 

  11. Buyukozkan, G., Çifçi, G.: A novel fuzzy multi-criteria decision framework for sustainable supplier selection with incomplete information. Comput. Ind. 124, 252 (2010)

    Google Scholar 

  12. McLean, S.: Finding strategic advantage through SCM. Pulp and Paper International 41(10), 28–31 (1999)

    MathSciNet  Google Scholar 

  13. Sarkis, J.: “A boundaries and flows perspective of green supply chain management. Supply Chain Manage. Int. J. 17(2), 202–216 (2012)

    Article  MathSciNet  Google Scholar 

  14. Parker, P.: Environmental initiatives among Japanese automakers: new technology, EMS, recycling and life cycle approaches. Environments 29(3), 91–113 (2001)

    Google Scholar 

  15. Nieuwenhuis, P., Wells, P.: The Automotive Industry and the Environment: A Technical, Business and Social Future. Woodhead, Cambridge (2003)

    Google Scholar 

  16. Supply Chain of Automobile Industry India.png (source http://commons.wikimedia.org/wiki/File:Supply_Chain_of_Automobile_Industry_India.png)

  17. Agarwal, P., Sahai, M., Mishra, V., Bag, M., Singh, V.: A review of multi-criteria techniques for supplier evaluation and selection. Int. J. Ind. Eng. Comput. 2. (2011) doi:10.5267/jijiec/2011/06/004

  18. Weber, C.A., Current, J.R., Benton, W.C.: Vendor selection criteria and methods. Eur. J. Oper. Res. 50(1), 2–18 (1991)

    Article  Google Scholar 

  19. Degraeve, Z., Labro, E., Roodhooft, F.: An evaluation of vendor selection models from a total cost of ownership perspective. Eur. J. Oper. Res. 125(1), 34–58 (1991)

    Article  MathSciNet  MATH  Google Scholar 

  20. Boer, L., Labro, E., Morlacchi, P.: A review of methods supporting supplier selection. Eur. J. Purchasing Supply Manage. 7(2), 75–89 (2000)

    Article  Google Scholar 

  21. Holt, G.D.: Which contractor selection methodology? Int. J. Project Manage. 16(3), 153–164 (1998)

    Article  MathSciNet  Google Scholar 

  22. Aamer, A.M., Sawhney, R.: Review of suppliers selection from a production perspective. In: Proceedings of IIE Conference, pp. 2135–2140 (2004)

    Google Scholar 

  23. Ho, W., Xu, X., Dey, P.K.: Multi-criteria decision making approaches for supplier evaluation and selection: a literature review. Eur. J. Oper. Res. 202, 16–24 (2010)

    Article  MATH  Google Scholar 

  24. Tahriri, F., Osman, M.R., Ali, A., Yusuff, R.M.: A review of supplier selection methods in manufacturing industries. Suranaree J. Sci. Technol. 15(3), 201–208 (2008)

    Google Scholar 

  25. Cheraghi, S.H., Dadashzadeh, M., Subramanian, M.: Critical success factors for supplier selection: an update. J. Appl. Bus. Res. 20(2), 91–108 (2011)

    Google Scholar 

  26. Jauhar, S.K., Pant, M.: Recent trends in supply chain management: a soft computing approach. In: Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012). Springer, India (2013)

    Google Scholar 

  27. Jauhar, S.K., Pant, M., Deep, A.: An approach to solve multi-criteria supplier selection while considering environmental aspects using differential evolution. In: Swarm, Evolutionary, and Memetic Computing, pp. 199–208. Springer International Publishing (2013)

    Google Scholar 

  28. Jalhar, S.K., Pant, M., Nagar, M.C.: Differential evolution for sustainable supplier selection in pulp and paper industry: a DEA based approach. Comput. Methods Mater. Sci. 15 (2015)

    Google Scholar 

  29. Jauhar, S., Pant, M., Deep, A.: Differential evolution for supplier selection problem: a DEA based approach. In: Proceedings of the Third International Conference on Soft Computing for Problem Solving, pp. 343–353. Springer, India  (2014)

    Google Scholar 

  30. Jauhar, S.K., Pant, M.: Genetic algorithms, a nature-inspired tool: review of applications in supply chain management. In: Proceedings of Fourth International Conference on Soft Computing for Problem Solving, pp. 71–86. Springer, India (2015)

    Google Scholar 

  31. Jauhar, S.K., Pant, M., Abraham, A.: A novel approach for sustainable supplier selection using differential evolution: a case on pulp and paper industry. In: Intelligent Data analysis and its Applications, vol. II, pp. 105–117. Springer International Publishing (2014)

    Google Scholar 

  32. Genovese, A., Koh, S.C.L., Bruno, G., Bruno, P.: Green supplier selection: a literature review and a critical perspective. In: Paper Presented at IEEE 8th International Conference on Supply Chain Management and Information Systems (SCMIS), Hong Kong (2010)

    Google Scholar 

  33. Simpson, D.F., Power, D.J.: Use the supply relationship to develop lean and green suppliers. Supply Chain Manage. Int. J. 19(1), 60–68 (2005)

    Article  Google Scholar 

  34. Lee, S., Klassen, R.D.: Drivers and enablers that foster environmental management capabilities in small and medium-sized suppliers in supply chains. Prod. Oper. Manage. 17(6), 573–586 (2008)

    Article  Google Scholar 

  35. Van Weele, A.: Purchasing and Supply Chain Management. Cengage Learning EMEA, Andover (2010)

    Google Scholar 

  36. Scannell, T., Vickery, S., Droge, C.: Upstream supply chain management and competitive performance in the automobile supply industry. J. Bus. Logistics 21(3), 23–48 (2000)

    Google Scholar 

  37. Awaysheh, A., Klassen, R.D.: The impact of supply chain structure on the use of supplier social responsible practices. Int. J. Oper. Prod. Manage. 30(12), 1246–1268 (2010)

    Article  Google Scholar 

  38. Geffen, C., Rothenberg, S.: Suppliers and environmental innovation. Int. J. Oper. Prod. Manage. 20(2), 166–186 (2000)

    Article  Google Scholar 

  39. Klassen, R., Vachon, S.: Collaboration and evaluation in the supply chain. Prod. Oper. Manage. 12(3), 336–352 (2003)

    Article  Google Scholar 

  40. Büyüközkan, G., Çifçi, G.: A novel fuzzy multi-criteria decision framework for sustainable supplier selection with incomplete information. Comput. Ind. 62(2), 164–174 (2011)

    Article  Google Scholar 

  41. Dimitris, K.S., Lamprini, V.S., Yiannis, G.S.: Data envelopment analysis with nonlinear virtual inputs and outputs. Eur. J. Oper. Res. 202, 604–613 (2009)

    MathSciNet  MATH  Google Scholar 

  42. Ramanathan, R.: An Introduction to Data Envelopment Analysis: A Tool for Performance Measurement. Sage Publication Ltd., New Delhi (2003)

    Google Scholar 

  43. Wen, U.P., Chi, J.M.: Developing green supplier selection procedure: a DEA approach. In:  2010 IEEE 17th International Conference onIndustrial Engineering and Engineering Management (IE&EM), pp. 70, 74. 29–31 Oct 2010. doi:10.1109/ICIEEM.2010.5646615

  44. Dobos, I., Vörösmarty, G.: Supplier selection and evaluation decision considering environmental aspects 149. sz. Mőhelytanulmány, HU ISSN 1786-3031 (2012)

    Google Scholar 

  45. Jauhar, S. K., Pant, M.: Sustainable Supplier’s Management Using Differential Evolution. Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications, 239 (2016)

    Google Scholar 

  46. Data envelopment analysis: models and extensions. Production/Operation Management Decision Line, pp. 8–11 (2000)

    Google Scholar 

  47. Charnes, A., Cooper, W.W., Rhodes, E.: Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2(6), 429–444 (1978)

    Article  MathSciNet  MATH  Google Scholar 

  48. Banker, R.D., Charnes, A., Cooper, W.W.: Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manage. Sci. 30, 1078–1092 (1984)

    Article  MATH  Google Scholar 

  49. Jouni, L.: A constraint handling approach for differential evolution algorithm. In: Proceeding of IEEE Congress on Evolutionary Computation (CEC 2002), pp. 1468–1473 (2002)

    Google Scholar 

  50. Coello, C.A.C.: Theoretical and numerical constraint handling techniques used with evolutionary algorithms: a survey of the state of the art. Comput. Methods Appl. Mech. Eng. 191(11–12), 1245–1287 (2002) (Differential Evolution for Data Envelopment Analysis 319)

    Google Scholar 

  51. Ray, T., Kang, T., Chye, S.K.: An evolutionary algorithm for constraint optimization. In: 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), pp. 771–777 (2000)

    Google Scholar 

  52. Shirouyehzad, H., Lotfi, F.H., Dabestani, R.: A data envelopment analysis approach based on the service quality concept for vendor selection. In: International Conference on Computers & Industrial Engineering, 2009. CIE 2009, pp. 426, 430, 6–9 July 2009. doi: 10.1109/ICCIE.2009.5223823

  53. Mazhar, M.I., Kara, S., Kaebernick, H.: Reusability assessment of components in consumer products—a statistical and condition monitoring data analysis strategy. In: Fourth Australian Life Cycle Assessment Conference—Sustainability Measures For Decision Support, Sydney, Australia (2005)

    Google Scholar 

  54. http://www.london2012.com/documents/locog-publications/locog-guidelines-on-carbon-emissions-of-products-and-services.pdf. Accessed on 12 Oct 2013

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Authors and Affiliations

  1. Indian Institute of Technology, Roorkee, 447667, UK, India

    S. K. Jauhar & M. Pant

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  1. S. K. Jauhar
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  2. M. Pant
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Correspondence to S. K. Jauhar .

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Editors and Affiliations

  1. University of California, Berkeley, USA

    Lotfi A. Zadeh

  2. Tech. of the Republic of Azerbaijan, Ministry of Communications Info., Baku, Azerbaijan

    Ali M. Abbasov

  3. Machine Intelligence Institute, New Rochelle, New York, USA

    Ronald R. Yager

  4. Azerbaijan Technical University, Baku, Azerbaijan

    Shahnaz N. Shahbazova

  5. University of Alberta, Edmonton, Alberta, Canada

    Marek Z. Reformat

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Jauhar, S.K., Pant, M. (2016). Sustainable Supplier Selection: A New Differential Evolution Strategy with Automotive Industry Application. In: Zadeh, L., Abbasov, A., Yager, R., Shahbazova, S., Reformat, M. (eds) Recent Developments and New Direction in Soft-Computing Foundations and Applications. Studies in Fuzziness and Soft Computing, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-319-32229-2_25

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  • DOI: https://doi.org/10.1007/978-3-319-32229-2_25

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