Application of fuzzy logic for social sustainability performance evaluation: A case study of an Indian automotive component manufacturing organization

Journal of Cleaner Production

Volumn 108, Issue , 2015, Pages 1184-1192

  Rajak, Sonu ^a   Vinodh, S ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Corporate social responsibility; Fuzzy logic; Performance evaluation; Social sustainability; Sustainability

Indexed keywords

AUTOMOBILE MANUFACTURE; COMPUTER CIRCUITS; FUZZY LOGIC;

AUTOMOTIVE COMPONENT; CONCEPTUAL MODEL; CORPORATE SOCIAL RESPONSIBILITIES (CSR); LINGUISTIC LABELS; MEASUREMENT AND ANALYSIS; PERFORMANCE EVALUATIONS; SCIENTIFIC VALUES; SOCIAL SUSTAINABILITY;

SUSTAINABLE DEVELOPMENT;

EID: 84956679604     PISSN: 09596526     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclepro.2015.05.070     Document Type: Article

References (32)

1. Chau, K.W., Muttil, N., 2007. Data mining and multivariate statistical analysis for ecological system in coastal waters. J. Hydroinf. 9 (No. 4), 305-317.
2. Chen, D., Heyer, S., Seliger, G., Kjellberg, T., 2012. Integrating sustainability within the factory planning process CIRP Annals. Manuf. Technol. 61, 463-466.
3. Chen, L., Olhagerand, J., Tang, O., 2014. Manufacturing facility location and sustainability: a literature review and research agenda. Int. J. Prod. Econ. 149, 154-163.
4. Ciliberti, F., Pontrandolfo, P., Scozzi, B., 2008. Investigating corporate social responsibility in supply chains: a SME perspective. J. Clean. Prod. 16, 1579-1588.
5. Colantonio, A., Dixon, T., 2011. Urban Regeneration and Social Sustainability: Best Practice from European Cities, ISBN 978-1-405-19419-8.
6. Dillard, J., Dujon, V., King, M.C., 2009. Understanding the Social Dimension of Sustainability. Master e-book ISBN, ISBN 0-203-89297-6.
7. Dreyer, L.C., Hauschild, M.Z., Jens, S., 2006. A framework for social life cycle impact assessment. Int. J. Life Cycle Assess. 11 (2), 2006.
8. Ghadimi, P., AzadniaA, H., YusofN, M., Saman, M.Z.M., 2012. A weighted fuzzy approach for product sustainability assessment: a case study in automotive industry. J. Clean. Prod. 33, 10-21.
9. Hutchins, M.J., Robinson, S.L., Dornfeld, D., 2013. Understanding life cycle social impacts in manufacturing: a processed-based approach. J. Manuf. Syst. 32, 536-542.
10. Hutchins, M.J., Sutherland, J.W., 2008. An exploration of measures of social sustainability and their application to supply chain decisions. J. Clean. Prod. 16, 1688-1698.
11. Jorgensen, A., Bocq, A.L., Nazarkina, L., Hauschild, M., 2008. Methodologies for social life cycle assessment. Int. J. Life Cycle Assess. 13 (2), 96-103.
12. Joung, C.B., Carrell, J., Sarkar, P., Fenga, S.C., 2012. Categorization of indicators for sustainable manufacturing. Ecol. Indic. 24, 148-157.
13. Klir, G.J., Yuan, B., 1995. Fuzzy Sets and Fuzzy Logic. Prentice-Hall, New Jersey.
14. Kouikoglou, V.S., Phillis, Y.A., 2011. Application of a fuzzy hierarchical model to the assessment of corporate social and environmental sustainability. Corp. Soc. Responsib. Environ. Manag. Corp. Soc. Responsib. Environ. Mgmt 18, 209-219.
15. Kucukvar, M., Gumus, S., Egilmez, G., Tatari, O., 2014. Ranking the sustainability performance of pavements: an intuitionistic fuzzy decision making method. Autom. Constr. 40, 33-43.
16. Labuschagne, C., Brenta, A.C., Ron, P.G., Erck, V., 2005. Assessing the sustainability performances of industries. J. Clean. Prod. 13, 373-385.
17. Lin, C.-T., Chiu, H., Tseng, Y.-H., 2006. Agility evaluation using fuzzy logic. Int. J. Prod. Econ. 101 (2), 353-368.
18. Martínez-Blanco, J., Lehmann, A., Muñoz, P., Anton, A., Traverso, M., Rieradevall, J., Finkbeiner, M., 2014. Application challenges for the social LCA of fertilizers within Life Cycle Sustainability Assessment. J. Clean. Prod. 1-15 xxx (2014).
19. Muttil, N., Chau, K.W., 2007. Machine-learning paradigms for selecting ecologically significant input variables. Eng. Appl. Artif. Intell. 20, 735-744.
20. Muttil, N., Chau, K.W., 2006. Neural network and genetic programming for modelling coastal algal blooms. Int. J. Environ. Pollut. 28 (No. 3-4), 223-238.
21. Norris, C.B., Cavan, D.A., Norris, G., 2012. Identifying social impacts in product Supply Chains:Overview and application of the social Hotspot Database. Sustainability 4, 1946-1965. http://dx.doi.org/10.3390/su4091946.
22. Sarkis, J., Helms, M.M., Hervani, A.A., 2010. Reverse Logistics and social sustainability. Corp. Soc. Responsib. Environ. Manag. Corp. Soc. Responsib. Environ. Mgmt 17, 337-354.
23. Seuring, S., Müller, M., 2008. From a literature review to a conceptual framework for sustainable supply chain management. J. Clean. Prod. 16, 1699-1710.
24. Singh, R.K., Murty, H.R., Gupta, S.K., Dikshit, A.K., 2007. Development of composite sustainability performance index for steel industry. Ecol. Indic. 7, 565-588.
25. Vinodh, S., Devadasan, S.R., 2011. Twenty criteria based agility assessment using fuzzy logic approach. Int. J. Adv. Manuf. Technol. 54, 1219-1231.
26. Vinodh, S., Balaji, S.R., 2011. Fuzzy logic based leanness assessment and its decision support system. Int. J. Prod. Res. 49 (13), 4027-4041.
27. Vinodh, S., 2011. Assessment of sustainability using multi-grade fuzzy approach. Clean. Technol. Environ. Policy 13, 509-515.
28. Vinodh, S., Vimal, K.E.K., 2012. Thirty criteria based leanness assessment using fuzzy logic approach. Int. J. Adv. Manuf. Technol. (60), 1185-1195, 2012.
29. Woodcraft, S., 2012. Social Sustainability and New Communities:Moving from concept to practice in the UK. Procedia - Soc. Behav. Sci. 68, 29-42.
30. Wu, C.L., Chau, K.W., 2006. Mathematicall model of water quality rehabilitation with rainwater utilization d a case study at Haigang. Int. J. Environ. Pollut. 28 (No. 3-4), 534-545.
31. Zhang, H., Javier, C.A., Karl, R.H., 2013. Conceptual model for assisting sustainable manufacturing through system dynamics. J. Manuf. Syst. 32, 543-549.
32. Ziout, A., Azab, A., Altarazi, S., ElMaraghy, W.H., 2013. Multi-criteria decision support for sustainability assessment of manufacturing system reuse. CIRP J. Manuf. Sci. Technol. 6, 59-69.