BITS Faculty Publications

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Subject: search.filters.subject.Multi-criteria decision-making (MCDM)

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    Towards sustainable mobility in India: an integrated mcdm analysis of fuel and drive alternatives
    (2024-01) Digalwar, Abhijeet Kumar
    Automobiles are significant contributors to global greenhouse gas emissions, responsible for approximately 17-20% of total emissions, posing a critical threat to sustainability. In addressing this threat, innovation is a crucial component. However, understanding various fuel-type vehicles and the upcoming alternatives from the technical, economic, and environmental-social-governance (ESG) dimensions within the Indian context is what has been stated as a research gap. The study compares current fossil fuel vehicles to sustainable alternatives: Fully Electric Vehicles (FEV), Hydrogen Fuel Vehicles (HFV), Hybrid Vehicles (HV), Compressed/Liquefied Natural Gas (CNG/LNG), and Biofuels. Alternative solutions are evaluated and ranked using the Analytical Hierarchy Process (AHP) and multi-criteria decision-making (MCDM) technique incorporating global weights. A cross-validation process employs six different MCDM techniques, a correlation index method, and sensitivity analysis to ensure robust and consistent results. The findings are presented through a unique V-model developed using a systems approach. The study identifies FEVs as the most suitable option, followed by HFVs and HEVs, to address future sustainability challenges. This paper contributes to a comprehensive understanding of sustainable automotive solutions, paving the way for India's greener and more environmentally responsible automotive landscape.
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    Analysis of multi-renewable energy potential sites in india using spatial characteristics: a gis and hybrid MCDM approach
    (Springer, 2024-08) Digalwar, Abhijeet Kumar
    Land use and site selection are critical factors in the sustainable installation of large-scale renewable energy projects at a significant scale to accomplish the global goals of promoting renewable energy adoption and fostering a cleaner and more sustainable future. To systematically investigate, the present study developed a geographical information system (GIS)–multi-criteria decision making (MCDM) comprehensive framework to evaluate the spatial characteristics of suitable sites in India. Subsequently, the study identified prominent potential sites and states with abundant renewable resources and assessed the pre-feasibility of renewable power projects. Utilizing the developed framework and analysis, the study identified eight solar sites and seven wind sites as prominent potential locations. Furthermore, Rajasthan, Gujarat, Andhra Pradesh, Karnataka, and Tamil Nadu were identified as states with substantial renewable energy potential, and their renewable energy policies were discussed. The study also conducted case studies on two notable sites, Virudhunagar (S26) and Tirunelveli (W34), in Tamil Nadu, evaluating their technological and economic viability. The levelized cost of energy for solar and wind energy at these sites was determined to be $0.035/kWh and $0.039/kWh, respectively, which is comparable to, and lower than, the costs associated with existing projects. The study emphasizes the significance of incorporating spatial characteristics of suitable sites and evaluating their techno-economic repercussions to ascertain the triumph of the endeavor.
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    Circular economy strategies in the automotive industry: fostering social innovation for sustainable mobility
    (IEEE, 2024) Matai, Rajesh
    This study explores the relationship between "Fostering Social Innovation for Sustainable Mobility" and "Circular Economy Strategies in the Automotive Industry." Using the Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS) method, the research assesses literature supported by eight strategy alternatives in the automotive industry. Battery Recycling & Reuse Programs emerge as a top significant strategy in the analysis, which rates the strategy alternatives and highlights the significance of circular behaviors in waste reduction. The findings also emphasize the importance of supporting socioeconomic inclusion in sustainable mobility programs. The results highlight the necessity to integrate social innovation and environmental sustainability in a balanced way to bring about transformative change in the automobile sector.
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    Sarcasm detection in news headlines using supervised learning
    (Springer, 2024-07) Mahesh, Jayashree
    The traditional work environment has seen remarkable changes as a result of the paradigm shift towards remote work, that has had a significant impact on employee well-being. This paper aims to use the Analytic Hierarchy Process (AHP), a multi-criteria decision-making (MCDM), to methodologically examine the factors affecting employee well-being in remote work contexts. By synthesizing data from 14 remote workers, this study aims to rank key factors and sub-factors that are identified with the help of content analysis. Through the AHP methodology, the relative importance of these factors is determined, which sheds light on their impact on the overall well-being of remote employees. On the basis of the results, the factors can be ranked in order- mental health support, work-life balance, physical well-being, social connection, and leadership engagement. The top five rated priority sub-factors are the promotion of mindfulness, defined boundaries, stress management, healthy eating awareness, and support for managing workload. The contribution of this research is to provide valuable insights for organizations and decision-makers to formulate strategies and initiatives to foster a supportive and conducive remote work environment, ultimately enhancing productivity and employee well-being.