Abhijeet K. Digalwar
@siu.edu.in
Professor and Head Research SIU Nagpur campus and Associate Professor Mechanical Engineering Department BITS Pilani
Symbiosis International (Deemed University)
Dr. Abhijeet Digalwar, at present working as a Professor and Head Research at Symbiosis International (Deemed University) Pune Nagpur campus. He is on lien from BITS Pilani and there he is Associate Professor in Mechanical Engineering Department of BITS Pilani-Pilani campus, he has received PhD in 2006 from BITS Pilani. Prior to that he has completed his B.E. in Mechanical Engineering from BNCOE Pusad in 1995 and M.E. from BITS Pilani in 1998. He has over 25 years of teaching and research experience at graduate and post-graduate levels. He mainly teaches and conducts research in the area of manufacturing systems engineering and management. He has published more than 100 research papers in national, international journals and proceedings. He has edited two books, two lab manuals and written various book chapters. Till date he has supervised 4 PhD students and 2 are undergoing, more than 50 Post graduate students and 100+ undergraduate students for their project/ thesis and dissertatio
RESEARCH INTERESTS
Manufacturing Systems Engineering and Management
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Prasanna G. Tillu, Abhijeet K. Digalwar, Sudhanshu Ranjan Singh, and Ravi S. Reosekar
Elsevier BV
S. K. Saraswat, Abhijeet K. Digalwar, and Vandit Vijay
Springer Science and Business Media LLC
Sudhanshu Ranjan Singh, Abhijeet K. Digalwar, and Srikanta Routroy
Springer Nature Switzerland
Prasad B. Mane, Abhijeet K. Digalwar, and C. S. Adhithyan
Springer Nature Switzerland
Abhijeet K. Digalwar, Sudhanshu Ranjan Singh, Rishi Pandey, and Ankur Sharma
Springer Nature Switzerland
Mahesh Gupta, Abhijeet Digalwar, Ajay Gupta, and Animesh Goyal
Informa UK Limited
S. K. Saraswat and Abhijeet K. Digalwar
AIP Publishing
India has made an international commitment to generate about 50% of its total energy needs from renewable energy sources by 2030. Here, to meet such a commitment, this study developed high-resolution (1 × 1 km2) geospatial solar and wind geographical potential maps with an aim to calculate the theoretical and technical potentials with economic and environmental sustainability. These geographical potential maps are developed by taking into account 13 evaluation and restriction factors pertaining to technical, economic, and socio-environmental categories. The investigation identifies that Rajasthan, Karnataka, and Gujarat have a plurality of extremely favorable land areas for solar and wind energy sources. Furthermore, the results imply that appropriate planning for the installation of renewable projects at the identified optimum locations can fulfill India's commitments with regard to an optimal energy mix scenario, with energy available twice the available potential for consumption in 2030. Furthermore, with the least average levelized cost of energy of 38.8 $/MWh (2.83₹/kWh) and 42.3 $/MWh (3.09₹/kWh), solar and wind energy sources are potentially more appealing and affordable than conventional energy sources. The findings of this study will also significantly advance India's attempts to accept and develop renewable energy sources, helping to realize the government's objective for sustainable electricity production.
Abhijeet K. Digalwar and Arpit Rastogi
Emerald
Purpose Environmental crisis and energy security concerns forced researchers, environmentalists and industrialists to look for a cleaner mode of transportation. Rigorous efforts have been made to make electric vehicles (EVs) feasible for commercial use. However, despite of many efforts by the Government of India, the rate of adoption of EVs in India has not been up to the mark. To bridge this gap, present study understands the social acceptability and sustainability of EVs and identifies the social factors, builds inferences from the results obtained and helps in orienting the manufacturers and decision makers towards faster adoption of the EVs. Design/methodology/approach The social factors responsible for the growth of EVs in India are identified by literature survey. A questionnaire has been developed for understanding the customer’s perception towards EVs. The results of the survey are analysed using the tools on descriptive statistics, structural equation model using Statistical Package for the Social Sciences and hypothesis testing and the results are validated. Findings The results of the study are based on three hypotheses. The findings show that although the financial and the infrastructure factors have positive impact on rate of adoption of EVs in India; the vehicle performance factors have a negative impact on EVs adoption, implying that the respondents of the survey who feel that the vehicle performance factors are the most imperative have a more passive mind-set towards the EVs adoption. Research limitations/implications The research work is based on the survey conducted on the pilot region of the national capital region of the country where the majority of the respondents of the survey are conventional fossil fuel vehicles (CFFV) owners. A more accurate analysis on the social factors affecting deployment of EVs in the Indian market can be done if the population of the survey consists of equal share of CFFV and EV owners from all across the nation. Practical implications This study will help researchers get a better understanding of the reasons for slow adoption rate of EVs in India. This paper sheds light upon the social factors responsible for the same. The Government of India can use the results of this study to understand the factors responsible for non-adoption and the recommendations for its further work on “Faster Adoption and Manufacturing of (Hybrid) and Electric Vehicles” India scheme. Social implications Results of the study identifies the factors that slow down the adoption rate of EVs in India. The paper suggested potential solutions for the same. Successful implementation in terms of policies and technological advancements can propel India to the top in EV market. Switching to EVs brings about a radical change in the social life of the people and can improve the social status and lifestyle of the people. Originality/value Existing research has not focussed much on the social aspects of EVs in India. The present work is solely the result of the strategic thinking, planning, work and implementation by the authors.
Abhijeet K. Digalwar, S.K. Saraswat, Arpit Rastogi, and Rohaan George Thomas
Elsevier BV
Prasanna Gajanan Tillu, Ravi Reosekar, and Abhijeet Digalwar
SAE International
Prasanna Gajanan Tillu, Himanshu Sharma, Abhijeet Digalwar, and Ravi Reosekar
SAE International
S.K. Saraswat and Abhijeet K. Digalwar
Elsevier BV
S.K. Saraswat and Abhijeet K. Digalwar
Elsevier BV
S.K. Saraswat, Abhijeet K. Digalwar, S.S. Yadav, and Gaurav Kumar
Elsevier BV
Santosh K. Saraswat and Abhijeet K. Digalwar
Emerald
Purpose The purpose of this paper is to develop an integrated fuzzy multi-criteria decision-making (MCDM) model for evaluation of the energy alternates in India based on their sustainability. Design/methodology/approach A fuzzy analytical hierarchy process approach is used for the weight calculation of the criteria and the fuzzy technique for order preference by similarity to the ideal solution is used for ranking of the energy alternates. Seven energy sources – thermal, gas power, nuclear, solar, wind, biomass and hydro energy are considered for the assessment purpose on the basis of sustainability criteria, namely, economic, technical, social, environmental, political and flexible. Findings The result of the analysis shows that economics is the highest weight criterion, followed by environmental and technical criteria. Solar energy was chosen as the most sustainable energy alternate in India, followed by wind and hydro energy. Research limitations/implications Few other MCDM techniques such as VIseKriterijumska Optimizacija I Kompromisno Resenje (multi-criteria optimization and compromise solution), weighted sum method and preference ranking organization method for enrichment evaluations – II can also be explored for the sustainability ranking of the energy alternates. However, the present model has also provided a good result. Practical implications The present research work will help the decision-makers and organizations in the evaluation and prioritizing the various energy sources on the scale of sustainability. Social implications Research finding provides guidance to government and decision-makers regarding the development of social conditions through energy security, job creation and economic benefits. Originality/value Research work can be act as a supplement for the investors and decision-makers specifically in prioritizing the investment perspective and to support other multi-perspective decision-making problems.
Arpit Rastogi, Rohaan George Thomas, and Abhijeet K. Digalwar
Current Science Association
Environmental crisis and energy security concerns have forced researchers to look for a cleaner mode of transportation. Rigorous efforts are on to make electric vehicles (EVs) feasible for commercial use in terms of technological advancements and economic viability. Despite being among the top automobile manufacturing countries in the world, the adoption rate of EVs in India has been poor. There is a need to understand the social acceptability and sustainability of EVs. To bridge this gap, the present study identifies the social factors responsible for slow adoption of EVs in India. The results may help in orienting the manufacturers and decision makers towards faster adoption of EVs. This study will assist researchers to get a better understanding of the factors responsible for slow adoption of EVs in India. The Government of India could benefit in its goal to achieve its ambitious target projected in the FAME India scheme.
Anirudh Tusnial and Abhijeet K. Digalwar
Inderscience Publishers
Abhijeet K. Digalwar, Rohaan George Thomas, and Arpit Rastogi
Elsevier BV
S. K. Saraswat, Abhijeet Digalwar, and S. S. Yadav
Springer International Publishing
Rohaan George Thomas, S. K. Saraswat, Arpit Rastogi, and A. K. Digalwar
IEEE
The Indian Automobile Industry is the 5th largest in the world. India, in its effort to switch to electric vehicles and reduce its carbon emissions, launched the National Electric Mobility Mission Plan 2020 in 2013. It formulated the Faster Adoption and Manufacturing of (Hybrid &) Electric Vehicles in India (FAME India) scheme in 2015 to promote the manufacturing of electric and hybrid vehicle technology and to ensure sustainable growth of the same. However, the adoption rate was not satisfactory. One of the main reasons for the slow pace of adoption of electric vehicles by the customers was the lack of supporting charging infrastructure. In order to plan for charging stations, it is important to forecast the energy demand and design the system using renewable sources of energy. This paper proposes a renewable energy model for charging stations that can be implemented in the pilot city of New Delhi. A software tool, Hybrid Optimization of Multiple Energy Resources (HOMER) is used for the simulation and analysis.
Abhijeet Digalwar, Rakesh D. Raut, Vinay S. Yadav, Balkrishna Narkhede, Bhaskar B. Gardas, and Ashwini Gotmare
Wiley
Vikrant Bhakar, Kuldip Singh Sangwan, and Abhijeet K. Digalwar
Elsevier BV
Sahil Wankhede, Abhijeet K. Digalwar, and Sangita P. Wankhede
Author(s)
Kuldip Singh Sangwan, Vikrant Bhakar, and Abhijeet K. Digalwar
Emerald
Purpose The purpose of this paper is to develop a framework and key performance indicators (KPIs) to assess the sustainability of the manufacturing organizations along the integrated supply chain. Design/methodology/approach A systematic literature review of existing peer-reviewed articles has been carried out to understand the strengths and weaknesses of current frameworks. A sustainability assessment framework has been proposed for the manufacturing sector. KPIs to assess sustainability performance of manufacturing organizations are identified. An empirical study is carried out for the cement industry to test the proposed framework and KPIs. Findings The existing frameworks on sustainability assessment lacks an integrated assessment consisting product life cycle, resources, critical factors (product, process and policy), KPIs and their interrelationship with sustainability dimensions. In total, 121 KPIs are identified for sustainability assessment of manufacturing organizations. The empirical study of the Indian cement industry identifies 52 KPIs (17 social, 15 economic and 20 environmental), which are classified into 13 factors using exploratory factor analysis. Research limitations/implications The proposed framework is tested for the cement sector. More studies are required to validate and refine the framework to make it generalized for the manufacturing sector. Originality/value This study has developed for the first time a close interrelation among life cycle engineering, resources, critical factors, KPIs and sustainability dimensions.
Abhijeet K. Digalwar, Sunil Dambhare, and Santosh Saraswat
Elsevier BV