Abstract:
Cement is a fundamental requirement of modern society and the concrete, a cement-based
product is the highest manufactured and second highest consumed product after water on earth,
but across the world, the production of cement is the most energy and emission intensive
industry. Globally, India is the second largest cement producer as well as the consumer.
Presently, the cement industry of India is the third largest energy consumer and second largest
greenhouse gases (GHGs) emitter. Continuous greenhouse gas (GHG) emissions are responsible
for global warming and extreme climate change. Thus, the cement industry is currently under
pressure to reduce GHG emissions (GHGEs). However, reducing the GHGEs of the cement
industry especially for developing country like India is not an easy task. Cement manufacturing
industry needs to focus on significant climate change mitigation strategies to reduce the GHGEs
to sustain its production. Implementation of Climate change mitigation strategies in the industry
leads to a reduction in emissions of GHGs, climate risks, pollutants and another negative impact
on the environment. Thus, in order to implement climate change mitigation strategies in the
cement industry, a careful analysis of barriers that hinder the emission reduction must be taken.
However, most existing research on the barriers to mitigation measures is focused on developed
countries. Among the most important emerging economies, India, the second largest producer
and consumer of cement faces challenges to implement emission reduction measures. To bridge
this gap, this research identifies and evaluates the barriers and solutions to overcome these
barriers in the context of India. This objective of research employs a three-phase methodology
based on fuzzy analytical hierarchy process (AHP) and fuzzy technique for order performance by
similarity to ideal solution (TOPSIS) to identify barriers and solutions to overcome these barriers
to climate change mitigation strategies adoption in Indian cement industry. Fuzzy AHP is
employed to prioritize these barriers, and to rank solutions of these barriers, Fuzzy TOPSIS is
employed. Ten Indian cement manufacturing industry is taken to illustrate the proposed threephase
methodology. Finally, the result of the analysis offers an effective decision support tool to
the Indian cement industry to eliminate and overcome barriers to mitigation strategies adoption
and build a green image in the market of the Indian cement industry.
Our Next objective of the research is to evaluate the drivers to climate change mitigation
strategies of the Indian cement industry. In the present study, a model is projected by applying
the Analytical Hierarchy Process (AHP) and Interpretive structural modeling (ISM) techniques
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to assess the drivers to climate change mitigation strategies of the cement industry. The AHP
technique help in establishing the priorities of the drivers to climate change mitigation strategies,
while ISM technique forms the relationships among them.
Our final objective of the research is to identify and evaluate significant climate change
mitigation strategies of the cement manufacturing industry in the context of India. Extant
literature review and expert opinion are used to identify climate change mitigation strategies of
the cement manufacturing industry. In this objective, model projects by applying both AHP and
DEMATEL techniques to assess the climate change mitigation strategies of the cement industry.
The AHP technique helps in establishing the priorities of climate change mitigation strategies,
while the DEMATEL technique forms the causal relationships among them. Present model will
help supply chain analysts to develop both short-term and long-term decisive measures for
effectively managing and reducing GHGEs.