202
A. Saxena and A. K. Khare
defined with three different color arrows. Red arrow defines the both way relations
(both parameters are depending on each other); blue and black arrow defines one
side relation within the parameters.
4 Conclusion
The result of interpretive structural modeling provides an ordered, directional framework for green manufacturing for Delhi/NCR apparel manufacturing industry and
gives decision makers a realistic picture of their situation and variables involved in
green manufacturing.
Based on the dependency matrix of the various parameters, the implementation
of green manufacturing was phased. The phasing is done considering the importance
of the factor and its impact on other factors in the list.
References
1. Douglas J (2006) Building adaptation. J Clean Prod. Butterworth-Heinemann 99–110
2. International Panel of climate control (IPCC) (2009) Expert meeting on the sciences of
alternative Metrics, Oslow, Norvey
3. Climate Change and Resource Sustainability- an overview of actuaries, Canadian Institute of
Actuaries, 2015
4. Climate Change Report, Worls Research Institute (WRI), Zeneva, 2015
5. Mehta M (2014) V, Emerging issues in apparel trade. Apparel Export Promotion Council, Delhi
6. Das, M (2013) Performance measurement of green manufacturing criteria of Indian SME,s.
Int J Eng Res Technol:2913–2920
7. Venkatesh VG (2015) Factor Influencing sucessfull implementation of green manfacturing. J
Clean Prod:1–16
8. Adner R (2006) Evaluation of sustainable development in manufacturing industries. J Clean
Prod
9. Bordoloi SA (2008) Design for control: a new perspective. Int J Prod:346–358
10. Gerrard JA (2007) Is European end-of-life vehicle legislation living up to expectation? Assesing
the impact of the ELV Directive on green innivation and vehicle recovery. J Clean Prod:17–27
11. Tan XC (2008) A decision-making framework model of cutting tool selection for green
manufacturing and its application. J Adv Manuf Syst: 257–260
12. Deif AM (2011) A system model for green manufacturing. J Clean Prod:1553–1559
13. Hoffman A (2000) Competitive environmental strategy. Island Press, pp 1564–1578
14. Shirley R (2014) A household carbon footprint calculator for islands: case study of the United
States Virgin Islands Ecol Econ 80:8–14
15. Juan Cagiao BG (2011) Calculation of the corporate carbon footprint of the cement industry
16. Shailee G, Acharya DJ (2014) A review on evaluating green manufacturing for sustainable
development in foundry industries. Int J Emerg Technol Adv Eng
17. Kannan G (2010) Analyzing supplier development criteria for an automobile industry. Ind
Manag Data Syst:43–62
18. Eryuruk SH (2012) Greening of the textile and clothing industry. FIBRES & TEXTILES in
Eastern Europe
A. Saxena and A. K. Khare
defined with three different color arrows. Red arrow defines the both way relations
(both parameters are depending on each other); blue and black arrow defines one
side relation within the parameters.
4 Conclusion
The result of interpretive structural modeling provides an ordered, directional framework for green manufacturing for Delhi/NCR apparel manufacturing industry and
gives decision makers a realistic picture of their situation and variables involved in
green manufacturing.
Based on the dependency matrix of the various parameters, the implementation
of green manufacturing was phased. The phasing is done considering the importance
of the factor and its impact on other factors in the list.
References
1. Douglas J (2006) Building adaptation. J Clean Prod. Butterworth-Heinemann 99–110
2. International Panel of climate control (IPCC) (2009) Expert meeting on the sciences of
alternative Metrics, Oslow, Norvey
3. Climate Change and Resource Sustainability- an overview of actuaries, Canadian Institute of
Actuaries, 2015
4. Climate Change Report, Worls Research Institute (WRI), Zeneva, 2015
5. Mehta M (2014) V, Emerging issues in apparel trade. Apparel Export Promotion Council, Delhi
6. Das, M (2013) Performance measurement of green manufacturing criteria of Indian SME,s.
Int J Eng Res Technol:2913–2920
7. Venkatesh VG (2015) Factor Influencing sucessfull implementation of green manfacturing. J
Clean Prod:1–16
8. Adner R (2006) Evaluation of sustainable development in manufacturing industries. J Clean
Prod
9. Bordoloi SA (2008) Design for control: a new perspective. Int J Prod:346–358
10. Gerrard JA (2007) Is European end-of-life vehicle legislation living up to expectation? Assesing
the impact of the ELV Directive on green innivation and vehicle recovery. J Clean Prod:17–27
11. Tan XC (2008) A decision-making framework model of cutting tool selection for green
manufacturing and its application. J Adv Manuf Syst: 257–260
12. Deif AM (2011) A system model for green manufacturing. J Clean Prod:1553–1559
13. Hoffman A (2000) Competitive environmental strategy. Island Press, pp 1564–1578
14. Shirley R (2014) A household carbon footprint calculator for islands: case study of the United
States Virgin Islands Ecol Econ 80:8–14
15. Juan Cagiao BG (2011) Calculation of the corporate carbon footprint of the cement industry
16. Shailee G, Acharya DJ (2014) A review on evaluating green manufacturing for sustainable
development in foundry industries. Int J Emerg Technol Adv Eng
17. Kannan G (2010) Analyzing supplier development criteria for an automobile industry. Ind
Manag Data Syst:43–62
18. Eryuruk SH (2012) Greening of the textile and clothing industry. FIBRES & TEXTILES in
Eastern Europe