Modelling and analysis of energy efficiency drivers by fuzzy ISM and fuzzy MICMAC approach

Sindhwani, Rahul; Mittal, Varinder Kumar; Singh, Punj Lata; Kalsariya, Vivek; Salroo, Faizan

doi:10.1504/ijpqm.2018.10016027

Cited by 1 publication

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most of the published research is focused on energy efficiency because energy is a key global problem and the country is rapidly expanding in terms of population, consumption of goods and energy consumption (Ahmad et al. , 2020; Sindhwani et al. , 2018; Smith et al.…”

Section: Review Of Literaturementioning

confidence: 99%

See 1 more Smart Citation

Modeling drivers and barriers of climate change mitigation strategies in Indian iron and steel industry: a TISM-based approach

Singh,

Pradhan,

Patil

2023

MEQ

View full text Add to dashboard Cite

PurposeThe main purpose of this paper is to investigate drivers and barriers of climate change mitigation strategies (CCMS), their linkages and impact in Indian Iron and Steel Industry (IISI) in light of ninth sustainable development goal (building resilient infrastructure, promote sustainable industrialization and foster innovation).Design/methodology/approachTo identify relevant drivers and barriers, a thorough literature review and opinions of industry experts were obtained. Utilizing Total Interpretive Structural Modeling (TISM), the selected drivers and barriers were modeled separately along with Cross Impact Matrix-multiplication Applied to Classification (MICMAC).FindingsPragmatic and cost-effective technology, less supply chain complexity, robust policy and legal framework were found to have the highest driving power over all the other drivers. Findings suggest political pressure as the most critical barrier in this study. The results from TISM and MICMAC analysis have been used to elucidate a framework for the understanding of policymakers and achieve top management commitment.Practical implicationsThis paper will help researchers, academicians, industry analysts and policymakers in developing a systems approach in prioritizing CCMS in energy-intensive (coal dependent) iron and steel plants. The model outcomes of this work will aid operational research to understand the working principles in other industries as well.Originality/valueTo the best of authors' knowledge, there is paucity of reported literature for the drivers and barriers of CCMS in iron and steel industry. This paper can be considered a unique, first attempt to use data from developing nations like India to develop a model and explain relationships of the existing drivers and barriers of CCMS.

show abstract

Section: Review Of Literaturementioning

confidence: 99%

“…Studies with drivers and barriers are proven worthier than studies that concentrate on single category. Understanding the barriers allows us to see what steps should be taken to overcome their effects on its implementation (Sindhwani et al. , 2018).…”

Section: Review Of Literaturementioning

confidence: 99%