System dynamics-based modelling and analysis of greening the construction industry supply chain
Article
Sundarakani, B., Sikdar, A. and Balasubramanian, S. 2014. System dynamics-based modelling and analysis of greening the construction industry supply chain. International Journal of Logistics Systems and Management. 18 (4), pp. 517-537. https://doi.org/10.1504/IJLSM.2014.063983
Type | Article |
---|---|
Title | System dynamics-based modelling and analysis of greening the construction industry supply chain |
Authors | Sundarakani, B., Sikdar, A. and Balasubramanian, S. |
Abstract | Increasing concern on global warming and corporate social responsibility have made environmental issues an area of importance to address for governments and businesses across the world. Among the Middle East countries, the United Arab Emirates (UAE) tops the list in terms of per capita energy spending and per capita carbon footprints. The construction industry is the major contributor to environmental pollution due to its size and nature of activity. The rapid growth of construction sector has a significant environmental impact with increase in carbon footprints. This paper analyses the environmental implications of the rapidly growing construction industry in UAE using system dynamics approach. Quantitative modelling of the construction industry supply chain helps to measure the dynamic interaction between its various factors under multiple realistic scenarios. The potential carbon savings and the impact of each factor are calculated using scenario development analysis. The paper has addressed in detail the various drivers and inhibitors of carbon emission in the construction industry supply chain and ways to evaluate the carbon savings. The paper provides an analytical decision framework to assess emissions of all stages applicable to the construction industry supply chain. |
Sustainable Development Goals | 11 Sustainable cities and communities |
Middlesex University Theme | Sustainability |
Publisher | Inderscience |
Journal | International Journal of Logistics Systems and Management |
ISSN | 1742-7967 |
Electronic | 1742-7975 |
Publication dates | |
Online | 30 Jul 2014 |
30 Jul 2014 | |
Publication process dates | |
Deposited | 07 Nov 2022 |
Accepted | 01 Jul 2014 |
Output status | Published |
Accepted author manuscript | |
Copyright Statement | This is the accepted manuscript of an article published by Inderscience in the International Journal of Logistics Systems and Management available in final form at http://dx.doi.org/10.1504/IJLSM.2014.063983 |
Digital Object Identifier (DOI) | https://doi.org/10.1504/IJLSM.2014.063983 |
Language | English |
https://repository.mdx.ac.uk/item/89zx3
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