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)



                 

https://researchid.co/akdigalwar

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

44

Scopus Publications

1881

Scholar Citations

23

Scholar h-index

33

Scholar i10-index

Scopus Publications

  • Analysis of Multi-renewable Energy Potential Sites in India Using Spatial Characteristics: A GIS and Hybrid MCDM Approach
    S. K. Saraswat, Abhijeet K. Digalwar, and Vandit Vijay
    Springer Science and Business Media LLC

  • Towards sustainable automobile ecosystem in India: Integrated analysis of technical, economic, and ESG dimensions
    Prasanna G. Tillu, Abhijeet K. Digalwar, Sudhanshu Ranjan Singh, and Ravi S. Reosekar
    Elsevier BV

  • A Data-Driven Framework for Optimizing Multi-Period EV Charging Infrastructure Deployment
    Sudhanshu Ranjan Singh, Abhijeet K. Digalwar, Harsh Singh, and Srikanta Routroy
    IEEE
    The rise of electric vehicles represents a transformative shift in the automotive industry, signaling the dawn of a new era of clean, sustainable transportation, but their operation requires a distributed rapid-charging infrastructure. Building such rapid charging networks is currently capital-intensive and therefore, requires careful planning and the development of the charging infrastructure must be maintained. However, infrastructure construction is not a one-off investment but a multi-period plan. A multi-period location and capacity expansion model of the charging stations will be needed. This study proposes a novel data-driven framework for deploying suitable rapid-charging infrastructure for EVs in large urban areas. This study combines an iterative clustering technique with a geographical information system analysis tool to determine the suitable regions for developing an optimized EV charging service. The analysis intends to plan a case study for Gurugram City of India and suggest the locations that should be the potential points for consideration of charging station development.

  • Modelling Factors Influencing Charging Station Location Selection to Accelerate EV Adoption in India: An ISM-MICMAC Analysis
    Sudhanshu Ranjan Singh, Abhijeet K. Digalwar, and Srikanta Routroy
    Springer Nature Switzerland

  • Modeling the Supply Chain Risk and Barriers to Electric Vehicle Technology Adoption in India
    Prasad B. Mane, Abhijeet K. Digalwar, and C. S. Adhithyan
    Springer Nature Switzerland

  • Industry 4.0 Implementation: Evidence from Indian Industries
    Abhijeet K. Digalwar, Sudhanshu Ranjan Singh, Rishi Pandey, and Ankur Sharma
    Springer Nature Switzerland

  • Integrating Theory of Constraints, Lean and Six Sigma: a framework development and its application
    Mahesh Gupta, Abhijeet Digalwar, Ajay Gupta, and Animesh Goyal
    Informa UK Limited

  • A geospatial integrated multi-criteria approach for assessment of solar and wind energy potentials with economic and environmental analysis
    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.

  • Assessments of social factors responsible for adoption of electric vehicles in India: a case study
    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.

  • A comprehensive framework for analysis and evaluation of factors responsible for sustainable growth of electric vehicles in India
    Abhijeet K. Digalwar, S.K. Saraswat, Arpit Rastogi, and Rohaan George Thomas
    Elsevier BV

  • Study of Key Attributes of Sustainability of Automobile Solutions in India
    Prasanna Gajanan Tillu, Ravi Reosekar, and Abhijeet Digalwar
    SAE International

  • Empirical Investigation of Various Mobility Solutions for Urban Transport Planning: A Study from Western India
    Prasanna Gajanan Tillu, Himanshu Sharma, Abhijeet Digalwar, and Ravi Reosekar
    SAE International



  • MCDM and GIS based modelling technique for assessment of solar and wind farm locations in India
    S.K. Saraswat, Abhijeet K. Digalwar, S.S. Yadav, and Gaurav Kumar
    Elsevier BV

  • Evaluation of energy sources based on sustainability factors using integrated fuzzy MCDM approach
    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.

  • Identification and analysis of social factors responsible for adoption of electric vehicles in India
    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.

  • A systematic review of the integration of best practices for world class manufacturing
    Anirudh Tusnial and Abhijeet K. Digalwar
    Inderscience Publishers

  • Evaluation of Factors for Sustainable Manufacturing of Electric Vehicles in India
    Abhijeet K. Digalwar, Rohaan George Thomas, and Arpit Rastogi
    Elsevier BV

  • Development of Assessment Model for Selection of Sustainable Energy Source in India: Hybrid Fuzzy MCDM Approach
    S. K. Saraswat, Abhijeet Digalwar, and S. S. Yadav
    Springer International Publishing

  • On-grid system evaluation for EV charging stations using renewable sources of energy
    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.

  • Evaluation of critical constructs for measurement of sustainable supply chain practices in lean-agile firms of Indian origin: A hybrid ISM-ANP approach
    Abhijeet Digalwar, Rakesh D. Raut, Vinay S. Yadav, Balkrishna Narkhede, Bhaskar B. Gardas, and Ashwini Gotmare
    Wiley


  • Analysis of sustainable machining process: A multicriteria decision making approach
    Sahil Wankhede, Abhijeet K. Digalwar, and Sangita P. Wankhede
    Author(s)

  • A sustainability assessment framework for cement industry – a case study
    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.

RECENT SCHOLAR PUBLICATIONS

  • Indian residents willingness to pay green cess to support electric mobility ecosystem: A societal benefit perspective
    PG Tillu, AK Digalwar
    Societal Impacts 4, 100097 2024

  • Analysis of Multi-renewable Energy Potential Sites in India Using Spatial Characteristics: A GIS and Hybrid MCDM Approach
    SK Saraswat, AK Digalwar, V Vijay
    Process Integration and Optimization for Sustainability 8 (5), 1493-1526 2024

  • A Data-Driven Framework for Optimizing Multi-Period EV Charging Infrastructure Deployment
    SR Singh, AK Digalwar, H Singh, S Routroy
    2024 International Conference on Sustainable Energy: Energy Transition and 2024

  • Towards sustainable automobile ecosystem in India: Integrated analysis of technical, economic, and ESG dimensions
    PG Tillu, AK Digalwar, SR Singh, RS Reosekar
    Cleaner Environmental Systems 14, 100210 2024

  • Integrating Theory of Constraints, Lean and Six Sigma: a framework development and its application
    M Gupta, A Digalwar, A Gupta, A Goyal
    Production Planning & Control 35 (3), 238-261 2024

  • Towards sustainable mobility in india: An integrated mcdm analysis of fuel and drive alternatives
    P Tillu, SR Singh, AK Digalwar, R Reosekar
    Available at SSRN 4700808 2024

  • Modelling Factors Influencing Charging Station Location Selection to Accelerate EV Adoption in India: An ISM-MICMAC Analysis
    SR Singh, AK Digalwar, S Routroy
    International Working Conference on Transfer and Diffusion of IT, 379-394 2023

  • Modeling the supply chain risk and barriers to electric vehicle technology adoption in India
    PB Mane, AK Digalwar, CS Adhithyan
    International Working Conference on Transfer and Diffusion of IT, 202-214 2023

  • Industry 4.0 Implementation: Evidence from Indian Industries
    AK Digalwar, SR Singh, R Pandey, A Sharma
    International Working Conference on Transfer and Diffusion of IT, 23-34 2023

  • A geospatial integrated multi-criteria approach for assessment of solar and wind energy potentials with economic and environmental analysis
    SK Saraswat, AK Digalwar
    Journal of Renewable and Sustainable Energy 15 (6) 2023

  • Identification and Analysis of Health Parameters for the Development of a Mobile App and Sensor Based Wearable Health Band
    M Digalwar, D Tundalwar, R Pandhare, A Digalwar
    Handbook of Evidence Based Management Practices in Business, 514-526 2023

  • Assessments of social factors responsible for adoption of electric vehicles in India: a case study
    AK Digalwar, A Rastogi
    International Journal of Energy Sector Management 17 (2), 251-264 2023

  • Assessment of EVs Adoption in India Using AHP-BWM Approach
    S Routroy, AK Digalwar
    Routledge 2023

  • Assessment of EVs Adoption in India Using AHP-BWM Approach
    AKDSR Sudhanshu Ranjan Slngh
    Handbook of Evidence Based Management Practices in Business 1, 503-513 2023

  • Empirical Investigation of Socio-Demographics, Travel Modes, and Preferred Future Mobility Solutions from the Context of Urban Transportation Planning: Case Study of Western India
    A Digalwar, PG Tillu, H Sharma, M Jain
    Travel Modes, and Preferred Future Mobility Solutions from the Context of 2023

  • A comprehensive framework for analysis and evaluation of factors responsible for sustainable growth of electric vehicles in India
    AK Digalwar, SK Saraswat, A Rastogi, RG Thomas
    Journal of Cleaner Production 378, 134601 2022

  • Study of Key Attributes of Sustainability of Automobile Solutions in India
    PG Tillu, R Reosekar, A Digalwar
    SAE Technical Paper 2022

  • Empirical Investigation of Various Mobility Solutions for Urban Transport Planning: A Study from Western India
    PG Tillu, H Sharma, A Digalwar, R Reosekar
    SAE Technical Paper 2022

  • Empirical Investigation of Various Mobility Solutions for Urban Transport Planning: A Study from Western India
    AK Digalwar
    SAE 2022

  • Study of Key Attributes of Sustainability of Automobile Solutions in India
    AK Digalwar
    SAE 2022

MOST CITED SCHOLAR PUBLICATIONS

  • MCDM and GIS based modelling technique for assessment of solar and wind farm locations in India
    SK Saraswat, AK Digalwar, SS Yadav, G Kumar
    Renewable Energy 169, 865-884 2021
    Citations: 276

  • Green manufacturing performance measures: an empirical investigation from Indian manufacturing industries
    AK Digalwar, AR Tagalpallewar, VK Sunnapwar
    Measuring Business Excellence 17 (4), 59-75 2013
    Citations: 184

  • Evaluation of energy alternatives for sustainable development of energy sector in India: An integrated Shannon’s entropy fuzzy multi-criteria decision approach
    SK Saraswat, AK Digalwar
    Renewable Energy 171, 58-74 2021
    Citations: 135

  • An overview of existing performance measurement frameworks in the context of world class manufacturing performance measurement
    AK Digalwar, KS Sangwan
    International Journal of Services and Operations Management 9 (1), 60-82 2011
    Citations: 126

  • Interpretive structural modeling approach for development of electric vehicle market in India
    AK Digalwar, G Giridhar
    Procedia Cirp 26, 40-45 2015
    Citations: 103

  • Development and validation of performance measures for world class manufacturing practices in India
    AK Digalwar, KS Sangwan
    Journal of Advanced Manufacturing Systems 6 (01), 21-38 2007
    Citations: 90

  • Evaluation of critical constructs for measurement of sustainable supply chain practices in lean‐agile firms of Indian origin: A hybrid ISM‐ANP approach
    A Digalwar, RD Raut, VS Yadav, B Narkhede, BB Gardas, A Gotmare
    Business Strategy and the Environment 29 (3), 1575-1596 2020
    Citations: 84

  • Life cycle assessment of CRT, LCD and LED monitors
    V Bhakar, A Agur, AK Digalwar, KS Sangwan
    Procedia cirp 29, 432-437 2015
    Citations: 70

  • Road map for the implementation of green manufacturing practices in Indian manufacturing industries: An ISM approach
    AK Digalwar, N Mundra, AR Tagalpallewar, VK Sunnapwar
    Benchmarking: An International Journal 24 (5), 1386-1399 2017
    Citations: 62

  • A sustainability assessment framework for cement industry–a case study
    KS Sangwan, V Bhakar, AK Digalwar
    Benchmarking: An International Journal 26 (2), 470-497 2019
    Citations: 59

  • Sustainability assessment in manufacturing organizations: Development of assessment models
    KS Sangwan, V Bhakar, AK Digalwar
    Benchmarking: An International Journal 25 (3), 994-1027 2018
    Citations: 55

  • Modeling the performance measures of world class manufacturing using interpreting structural modeling
    AK Digalwar, A Jindal, KS Sangwan
    Journal of Modelling in Management 10 (1), 4-22 2015
    Citations: 47

  • Sustainability assessment framework for manufacturing sector–a conceptual model
    V Bhakar, AK Digalwar, KS Sangwan
    Procedia Cirp 69, 248-253 2018
    Citations: 46

  • Sustainability issues in turning process: A study in Indian machining Industry
    S Dambhare, S Deshmukh, A Borade, A Digalwar, M Phate
    Procedia CIRP 26, 379-384 2015
    Citations: 45

  • Evaluation of energy sources based on sustainability factors using integrated fuzzy MCDM approach
    SK Saraswat, AK Digalwar
    International Journal of Energy Sector Management 15 (1), 246-266 2021
    Citations: 36

  • Social sustainability assessment framework for indian manufacturing industry
    AK Digalwar, S Dambhare, S Saraswat
    Materials Today: Proceedings 28, 591-598 2020
    Citations: 35

  • Application of AHP and TOPSIS method for supplier selection between India & China in textile industry
    JC Sasi, AK Digalwar
    International Research Journal of Engineering and Technology 2 (4), 1730-1738 2015
    Citations: 34

  • Empirical investigation and validation of sustainability indicators for the assessment of energy sources in India
    SK Saraswat, AK Digalwar
    Renewable and Sustainable Energy Reviews 145, 111156 2021
    Citations: 32

  • A comprehensive framework for analysis and evaluation of factors responsible for sustainable growth of electric vehicles in India
    AK Digalwar, SK Saraswat, A Rastogi, RG Thomas
    Journal of Cleaner Production 378, 134601 2022
    Citations: 30

  • Evaluation of world-class manufacturing systems: a case of Indian automotive industries
    KS Sangwan, AK Digalwar
    International Journal of Services and Operations Management 4 (6), 687-708 2008
    Citations: 29