An Optimization Model for Sustainability Program

Annals of Operations Research

Volumn 250, Issue 2, 2017, Pages 389-425

  Jawahar, N ^a   Satish Pandian, G ^a   Gunasekaran, Angappa ^b   Subramanian, Nachiappan ^c  

^a THIAGARAJAR COLLEGE OF ENGINEERING   (India)

^b UNIVERSITY OF MASSACHUSETTS DARTMOUTH   (United States)

^c University of Nottingham   (China)

Author keywords

Neural network; Sustainability performance and optimization; Sustainability program

Indexed keywords

EID: 84933055915     PISSN: 02545330     EISSN: 15729338     Source Type: Journal    
DOI: 10.1007/s10479-015-1928-z     Document Type: Article

References (35)

1. Alshamrani, O. S., Galal, K., & Alkass, S. (2014). Integrated LCAeLEED sustainability assessment model for structure and envelope systems of school buildings. Building and Environment, 80, 61–70.
2. Bouchery, Y., Ghaffari, A., Jemai, Z., & Dallery, Y. (2012). Including sustainability criteria into inventory models. European Journal of Operational Research, 222, 229–240.
3. Chan, J. W. K., & Tong, T. K. L. (2007). Multi-criteria material selections and end-of-life product strategy: Grey relational analysis approach. Materials and Design, 28, 1539–1546.
4. Chinchuluun, A., & Pardalos, P. M. (2007). A survey of recent developments in multi-objective optimization. Annals of Operations Research, 154, 29–50.
5. Choi, T. (2014). Sustainable management of mining operations with accidents: A mean-variance optimization model. Resources Policy. doi:10.1016/j.resourpol.2014.02.003.
6. Curkovic, S. (2003). Environmentally responsible manufacturing: The development and validation of a measurement model. European Journal of Operational Research, 146, 130–155.
7. Delmas, M. (2001). Stakeholders and competitive advantage: The case of ISO 14001. Journal of Production and Operations Management, 10(3), 343–358.
8. Ding, Y., Feng, Q., Wang, T., & Fu, X. (2014). A modular neural network architecture with concept. Neurocomputing, 125, 3–6.
9. Faulkner, W., & Badurdeen, F. (2014). Sustainable value stream mapping (Sus-VSM): Methodology to visualize and assess manufacturing sustainability performance. doi:10.1016/j.jclepro.2014.05.042.
10. Florez, L., & Castro-Lacouture, D. (2013). Optimization model for sustainable materials selection using objective and subjective factors. Materials and Design, 46, 310–321.
11. Govindan, K., Jafarian, A., Khodaverdi, R., & Devika, K. (2014). Two-echelon multiple-vehicle location-routing problem with time windows for optimization of sustainable supply chain network of perishable food. International Journal of Production Economics, 152, 9–28.
12. Jayal, A. D., Badurdeen, F., Dillon, O. W., & Jawahir, I. S. (2010). Sustainable manufacturing: Modeling and optimization challenges at the product, process and system levels. CIRP Journal of Manufacturing Science and Technology, 2, 144–152.
13. Kates, R. W., Clark, W. C., Corell, R., Hall, M. J., Jaeger, C. C., Lowe, I., et al. (2001). Sustainability science. Science, 292, 641–642.
14. Khan, M. N. A. (2012). Performance analysis of Bayesian networks and neural networks in classification of file system activities. Journal of Computers and Security, 31, 391–401.
15. Klassen, R. D., & McLaughlin, C. P. (1996). The impact of environmental management on firm performance. Informs a Journal of The Institute for Operations Research and the Management Sciences, 42, 1199–1214.
16. Kuik, O. J., & Gilbert, A. J. (1999). Indicators of sustainable development. In J. C. J. M. Van den Bergh (Ed.), Handbook of Environmental and Resource Economics (pp. 722–730). Cheltenham: Edward Elgar.
17. Linke, B. S., Corman, G. J., Dornfeld, D. A., & Tönissen, S. (2013). Sustainability indicators for discrete manufacturing processes applied to grinding technology. Journal of Manufacturing Systems, 32, 556–563.
18. López-Villarreal, F., Lira-BarragánL, F., Rico-Ramirez, V., María Ponce-Ortega, J., & El-Halwagi, M. M. (2014). An MFA optimization approach for pollution trading considering the sustainability of the surrounded watersheds. Computers and Chemical Engineering, 63, 140–151.
19. Montabon, F., Sroufe, R., & Narasimhan, R. (2007). An examination of corporate reporting, environmental management practices and firm performance. Journal of Operations Management, 25(5), 998–1014.
20. Nahorski, Z. & Ravn, H.F. (2000). A review of mathematical models in economic environmental problems. Annals of Operations Research, 97, 165–201.
21. Nidumolu, R., Prahalad, C. K., & Rangaswami, M. R. (2009). Why sustainability is now the key driver of innovation. Harvard Business Review, 87, 57–64.
22. Pandian, G. S., Jawahar, N., & Nachiappan, S. P. (2013). Composite performance index for sustainability. IOSR Journal of Environmental Science, Toxicology and Food Technology, 3(1), 91–102.
23. Pandian, G. S., Jawahar, N., & Nachiappan, S. P. (2013). Questionnaire for the development of Environmental Regulation Management System for Indian Manufacturing Industries. Management Arts-Elixir International Journal, 56, 13330–13343.
24. Park, J. J. (1993). Neural Network Processing of Linguistic Symbols Using Multi-Level Grading Rule. Computer Science. Tallahasse, FL, USA: Florida State University.
25. Rho, B. H., Park, K., & Yu, Y. (2001). An international comparison of the select of manufacturing strategy-implementation gap on business performance. International journal of Production Economics, 70, 89–97.
26. Roberts, S. J. F., & Ball, P. D. (2014). Developing a library of sustainable manufacturing practices. Procedia CIRP, 15, 159–164.
27. Rouhani, S., & Ravasan, A. Z. (2013). ERP success prediction: An artificial neural network approach. Scientia Iranica, 20(3), 992–1001.
28. Saaty, T.L. (1980). The analytic hierarchy process. New York: McGraw Hill. International, Translated to Russian, Portuguese, and Chinese, Revised editions, Paperback. (1996, 2000). Pittsburgh: RWS Publications.
29. Sarangi, P. P., Sahu, A., & Panda, M. (2013). A hybrid differential evolution and back-propagation algorithm for feedforward neural network training. International Journal of Computer Applications, 84(14), 1–9.
30. Sezen, B., & Cankaya, S. Y. (2013). Effects of green manufacturing and eco-innovation on sustainability performance. Procedia-Social and Behavioral Sciences, 99, 154–163.
31. Singh, L. P., Bhardwaj, A., & Sachdeva, A. (2006). Quality management practices vs. performance of SMEs: An empirical study of Indian industries. Journal of Technology Management for the Global Future, 5, 2393–2399.
32. Subramanian, N., Abdulrahman, M. D., & Rahman, S. (2014). Sourcing complexity factors on contractual relationship: Chinese suppliers’ perspective. Production and Manufacturing Research: An Open Access Journal, 2(1), 558–585.
33. Triantaphyllou, E., & Mann, S. H. (1995). Using the hierarchy process for decision making in engineering applications: Some challenges. Industrial Engineering Applications and Practice, 2(1), 35–44.
34. Yang, C. L., Lin, S., Chan, Y., & Sheu, C. (2010). Mediated effect of environmental management on manufacturing competitiveness: An empirical study. International Journal of Production Economics, 123, 210–220.
35. Zhang, Q., Shah, N., Wassick, J., Helling, R., & Van Egerschot, P. (2014). Sustainable supply chain optimisation: An industrial case study. Computers and Industrial Engineering, 74, 68–83.