Affiliation:
1. KIIT University, India
Abstract
Sustainable supply chain management (SSCM) practices in thermal power plants is dependent on mostly three pillars: social factor, economic factor, and environmental factor. So, in this chapter, sustainable supply chain management of Indian thermal power sector is evaluated. Artificial neural network (ANN) method is implemented to measure whether the benefits of sustainable supply chain management are achieved after practices of sustainable supply chain management in Indian thermal power sector. This chapter also designs a framework by QFD (quality function deployment) method to find solution for some unsatisfactory measures (inputs in sustainable factors) that are not achieved against outputs. As sustainable supply chain management practices in thermal power plants are influenced by a significant number of interrelated enablers and barriers, the drivers or enablers of SSCM are taken as the design requirement to improve SSCM in thermal power industries, and the most important driver is prioritized against the unsatisfied measurands in thermal power sector.
Reference32 articles.
1. Adham, K. N., Siwar, C., Bhuiyan, M., & Hossain, A. (2015). An overview of Malaysian government initiatives on sustainable consumption and production practices. Academic Press.
2. Sustainable supply management: An empirical study
3. Anwar, R.M., Masud, A.K.M., Abedin, F., & Hossain, M.E. (2010). QFD for utility services: A case study of electricity distribution company DESCO. Int. J. Quality and Innovation, 1(2), 184–195.
4. Shaping a sustainable energy future for India: Management challenges
5. Electrical power delivery improvement in Portugal through quality function deployment