vijay lahri

@marwadiuniversity.ac.in

Assistant Professor, Faculty of Management Studies
Marwadi University

vijay lahri


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https://researchid.co/vijay.lahri07
Vijay Lahri is a professional researcher with a track record of achievement in higher education. He is an experienced researcher with expertise in Decision Modeling, Sustainable Supply Chain Optimization, and Operations Management. He has published research papers, indexed in the WOS/ABDC/Scopus database, and presented his research work in various international conferences organized by IITs and IIMs.
He defended his doctoral thesis on the topic "Development of Sustainable lot sizing and Network Design models under uncertain environment" in May 2022.
He has created mathematical models to solve supply chain problems in uncertain business environments. He has also served as a reviewer for international journals such as Expert systems with applications, Inderscience publication, Kybernetes, and the National Innovation Foundation's INSPIRE Manak award.
He is passionate about supply chain management, logistics management, mathematical modeling, and optimization research. He is currently in

RESEARCH INTERESTS

Sustainable supply chain, MCDM approaches, Network design models
13

Scopus Publications

198

Scholar Citations

4

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • A SAP-LAP integrated e-IRP approach for green hydrogen operations for sustainable mobility
    Pranav Kumar, Shipra Mishra, Naveen Virmani, Vijay Lahri, Shivanshi Singh, Vivek Singh Sachan, Ashu Yadav
    Discover Sustainability, 2026
    Transport sector contributes significantly to global emissions, which needs massive transformations for switching to greener modes of transportation. To meet these requirements, green hydrogen emerged as sustainable fuel thus protecting the environment. Although, its adoption is subjected to various challenges including very high production costs, lack of storage, and efficiency issues. Since the concept is novel, it is unclear about various contributing factors for adoption of green hydrogen. Therefore, an attempt has been made to explore and examine factors affecting green hydrogen implementation in the Indian mobility sector. The study presented considered SAP-LAP (Situation-Actor-Process and Learning-Action-Performance) approach to identify and rank variables. The key variables were identified based on extensive literature review and insights from experts across industry, academia, and policymakers. Then, the effective interpretive ranking process (e-IPR) method was applied to rank the identified factors, especially actors and actions, facilitating a systematic analysis of the critical drivers and barriers influencing green hydrogen development in transport. It is observed that government policymakers play crucial role in developing green hydrogen infrastructure and promote investment to drive clean energy. Public awareness campaigns, incentive mechanisms, stakeholder collaboration, Infrastructure investment are reported as pivotal actions. The study also highlights the major challenges like high technology cost, regulatory uncertainty, large scale implementation issues.
  • Industry 5.0 through the lens of ergonomics and sustainability: Mapping the territory
    Tahseen Arshi, Pankaj Rawal, Naveen Virmani, Vijay Lahri, Sandeep Jagtap
    Sustainable Futures, 2026
    Digital technologies have revolutionized the manufacturing landscape, enhancing productivity, quality, and sustainability. Industry 5.0 emphasizes human–machine collaboration to achieve the Sustainable Development Goals (SDGs) while prioritizing human centrality in technologically advanced systems. Therefore, Industry 5.0 signifies a paradigm shift from techno-centric to human-centric systems to achieve resilience and sustainable production systems. This study presents a systematic literature review and bibliometric analysis exploring the interlinkages among ergonomics, sustainability, and Industry 5.0. Using the Scopus and Web of Science databases, relevant studies were screened through inclusion and exclusion criteria, and analyzed using VOSviewer to map co-authorship networks, citation patterns, and thematic clusters. Findings suggest that the literature represents a fragmented yet emerging research domain, with limited integration of ergonomics and sustainability perspectives within Industry 5.0 scholarship. The study identifies influential authors, contributing countries, and major research streams shaping this interdisciplinary field. The study consolidates these dimensions through structured bibliometric mapping and proposes an integrative foundation for advancing human-centric and sustainable Industry 5.0 research domain.
  • Enabling Green Hydrogen Integration in the Automotive Sector: Business Strategies for Net-Zero Goals
    Naveen Virmani, Reeti Agarwal, Deepak Sharma, Vijay Lahri, Dhruv Galgotia, Hind Alofaysan
    Business Strategy and the Environment, 2026
    Green hydrogen (GH) plays a crucial role in achieving net‐zero targets. It is a clean source of energy generated through greener or renewable production methods. The worsening impacts of climate change, environmental pollution, and the pressing need for decarbonization have prompted the automotive industry to adopt GH. The presented study explored the enablers of GH in the automotive sector, which is a grey area of research and contributes significantly to sustainable mobility. A research framework was developed based on the technology, organization, and environment (TOE) and institutional theories. Based on an in‐depth literature review and experts' opinions, 17 enablers were finalized that facilitate the sustained use of GH in the automotive industry. After that, we employed an integrated approach of ISM‐fuzzy‐DEMATEL to develop a hierarchical structure and identify contextual and causal relationships among the noticeable enablers. The research outcomes reveal that skilled workforce, government policies, and incentives are the dominant drivers of GH technology adoption. Developing standard policies and working protocols will help gain stakeholders' confidence to transition to GH adoption. The government must open technical training centers to upgrade employee skills and prepare them for upcoming hydrogen mobility plans. The results are beneficial for the automobile industry in addressing environmental issues and achieving a competitive advantage.
  • An integrated framework for delivery partner selection and order optimization in quick commerce under uncertain demand
    Nitesh Kumar Singh, Vijay Lahri, Naveen Virmani
    Expert Systems with Applications, 2026
  • Determinants of freight logistics performance: a three-dimensional framework of visibility, flexibility and green logistics performance
    Srikant Gupta, Vijay Lahri, Naveen Virmani
    Nankai Business Review International, 2026
    Purpose This study aims to develop and empirically test a three-dimensional framework integrating visibility, green logistics performance, and operational flexibility to explain freight logistics performance in the Indian context. The freight logistics sector serves as a critical driver of economic growth and competitiveness of nations across the globe. Yet, it faces significant operational inefficiencies, infrastructural constraints and environmental challenges. Despite ongoing reforms and policy interventions, logistics performance remains suboptimal compared to global benchmarks. Design/methodology/approach This study proposes an integrative framework encompassing three key dimensions: visibility, green logistics performance, and flexibility, as determinants of improved freight logistics performance. Drawing on data from logistics professionals across diverse organizational roles and sectors, the study applies fuzzy-set qualitative comparative analysis to identify necessary and sufficient conditions for high performance. Findings The study findings reveal that individual dimensions positively influence outcomes, digital visibility tools, green logistics practices and operational adaptability significantly enhance logistics effectiveness and resilience. Configurations involving Internet of Things integration, carbon footprint reduction initiatives and multimodal transport capabilities emerged as critical enablers. Practical implications By offering a context-specific, empirically grounded model, the study contributes to both theoretical understanding and practical decision-making. It also aligns with Indian national logistics goals such as the PM Gati Shakti initiative and broader global imperatives, including the UN Sustainable Development Goals. The research thus provides actionable insights for policymakers, logistics providers and supply chain strategists seeking to transform India’s freight logistics landscape in a sustainable and future-ready manner. Originality/value The research adds value by providing the organization’s unique strategic pathways to achieve high logistics performance.
  • A Decision-Making Framework to Facilitate AI in the Circular Economy: A Case Analysis From an Emerging Economy Context
    Naveen Virmani, Vijay Lahri, Srikant Gupta, Jose Arturo Garza‐Reyes
    Business Strategy and the Environment, 2026
    The Circular Economy ( CE ) transition presents a sustainable alternative to linear economic models. Artificial Intelligence (AI) provides a powerful tool for accelerating this change by enabling more innovative resource management and waste reduction alongside real‐time decision‐making. However, multiple complex barriers, including technological, organisational, environmental and human (TOE‐H) perspectives, prevent the widespread adoption of AI within CE practices. Therefore, this research aims to investigate the principal barriers preventing AI from becoming part of CE efforts. The study identifies 18 barriers and 15 solutions through an extensive literature review and expert opinion. The research uses a hybrid framework that combines the Fuzzy Analytic Hierarchy Process (Fuzzy‐AHP) and fuzzy technique of order preference by similarity to ideal solution (Fuzzy‐TOPSIS) to analyse the barriers and solutions. The Fuzzy‐AHP is used to determine the barrier weights; in conjunction with this, fuzzy‐TOPSIS is also employed to rank the solutions. The study reported lack of skilled workforce and low consumer awareness as the top barriers, while ‘encouraging eco‐design’ and ‘support smart reverse logistics systems’ were defined as the top solutions. This research contributes to the scholarly literature by mapping and prioritising strategic solutions to overcome barriers to adopting AI in the circular economy, which previous studies have not adequately addressed. Additionally, the research provides practical recommendations for government officials, industry managers and environmental experts to address these barriers and facilitate a smart circular transition driven by data. This study helps to understand AI's role in CE while establishing the foundations for inclusive technological solutions that support sustainable development.
  • Sustainability framework for manufacturing in the steel industry: emphasis on eco-centric and sociocentric dimensions
    Vijay Lahri, Naveen Virmani, Sandeep Jagtap
    Discover Sustainability, 2025
    Global policies, legislation, and eco-friendly initiatives have induced the steel industry to integrate sustainable development approaches. Sustainability requires all phases from raw material sourcing to transportation to waste and carbon footprint elimination—yielding positive effects. This research employs a two-step approach in sustainability. The first phase entails conducting a systematic literature review to construct a framework identifying the sustainability key drivers, and afterwards, validating them with industry professionals. In this study, these criteria are weighted and ranked using the Best–Worst Method (BWM) within the bounds of the social and environmental aspects aimed at creating an industry tailored sustainability framework. Findings indicate that the primary ranked environmental concern is ‘E6 (Top management commitment),’ trailed by ‘E2 (Procurement of environmentally friendly raw materials)’ and ‘E4 (Technology advancement).’ Regarding social aspects, the top-ranked criteria observed as ‘S7 (Employee satisfaction) followed by ‘S6 (ISO 26000),’ and ‘S2 (Ethics).’ These results aid steel makers and policymakers remain relevant in the market by assisting the planning process of their business operational efficiencies, sustainability policies, and compliance regulations. This sustainability framework allows the steel industry to improve its competitive position by deepening the integration of social and environmental practices for enduring performance.
  • Assessment of key drivers for selecting sustainable health insurance schemes: Using the BWM approach
    Vijay Lahri, Mohd Amir, Abdullah Malik
    Data Alchemy in Insurance Revolutionizing the Insurance Industry Through Big Data Analytics, 2025
    Post-covid Era has accelerated the growth of the health insurance sector drastically. Nowadays, public is focussing on taking health insurance to mitigate the sudden expenses of health services. However, finding the best health scheme for the people is still considered challenging. Hence, the present study attempts to solve the issue by developing a framework that considers a range of essential factors of the health insurance plan. The identified factors were ranked by using the integrated Delphi and best-worst methods. The study helps consumers to choose their policy effectively using the proposed framework.
  • Prioritising criteria for sustainable battery supplier selection in the EV sector using fuzzy-ordinal priority approach
    Vijay Lahri, Nitesh Kumar Singh, Naveen Virmani
    International Journal of Industrial Engineering and Operations Management, 2025
    Purpose Focusing on the emerging economies, this study proposes a comprehensive framework for selecting sustainable battery suppliers in the electric vehicle (EV) industry. The study examines how EV manufacturers can prioritise battery suppliers to create a robust and eco-friendly supply chain. Design/methodology/approach This study integrates the technology-organisation-environment (TOE) framework and the dynamic capability (DC) theory to develop a robust and comprehensive framework for the evaluation of battery suppliers. The fuzzy ordinal priority approach (OPA-F) is used to prioritise the criteria and sub-criteria finalised under the integrated framework. Fuzzy linear programming problems are formulated under this approach with the linguistic opinion of experts as the input parameters. To obtain the global weight of sub-criteria, multiplicative aggregation is performed on the defuzzified local weights of criteria and sub-criteria. Findings As per the findings of this study, the battery policy adherence, environment compliance and safety certification emerged as the most important sub-criteria, whereas the liquidity ratio, debt-to-equity ratio and creditworthiness emerged as the least important. These reveal that the environment and technological criteria have great influence on battery supplier selection decisions. Originality/value By utilising OPA-F and combining the TOE framework and DC theory, this study offers a theoretical and practical contribution that enables efficient decision-making. The framework provides manufacturers and policymakers with practical insights on improving operational resilience and sustainability in EV battery supply chains, particularly in emerging markets.
  • Joint Multi-item Multi-supplier Sustainable Lot-Sizing Model Applying Combined BWM, TOPSIS, Possibilistic Programming, and ϵ-constraint Method
    Krishnendu Shaw, Vijay Lahri, Ravi Shankar, Alessio Ishizaka
    IEEE Transactions on Engineering Management, 2024
    Procurement decisions are critical in sustainable supply chain (SC) transformation. Until now, mainly deterministic supplier selection and lot-sizing models have been suggested. Moreover, it is not easy to make a SC sustainable solely by focusing on carbon footprint. Other sustainability factors, such as social, water, and waste management need to be considered. Therefore, the present study proposed a three-stage multiobjective, multisupplier, multiperiod joint supplier selection, and lot-sizing model, considering carbon footprint, water footprint, solid and liquid waste, and use of recycled materials in a stochastic environment. The model optimizes three objectives (cost, carbon emission, and social sustainability). The model considers different model parameters uncertain, such as costs, emission, solid waste, liquid waste, recycled material, quality rejection, and capacity. The present study suggests quantifying social sustainability and further using it in the lot-sizing model. The study has applied three stages. First, best–worst method and TOPSIS are used to assess suppliers' social scores. Second, the proposed possibilistic lot-sizing model uses the suppliers' social scores. In the third stage, the ϵ-constraint approach is used to generate tradeoff curves. The model generates optimal solutions for various levels of uncertainty, which are utilized to develop cost, emission, and social tradeoff curves.
  • Implementation of Digital Tools in The Food Supply Chain for Reducing Food Wastage
    K.Rama Murthy, R.Senthamil Selvan, Wilson Lukose, Anthony Rose, Vijay Lahri
    2024 2nd International Conference Computational and Characterization Techniques in Engineering and Sciences Ic3tes 2024, 2024
  • Sustainable supply chain network design problem: Using the integrated BWM, TOPSIS, possibilistic programming, and ε-constrained methods
    Vijay Lahri, Krishnendu Shaw, Alessio Ishizaka
    Expert Systems with Applications, 2021
  • Assessment of critical drivers towards sustainable green supply chain performance management
    Vijay Lahri
    International Journal of Business Performance and Supply Chain Modelling, 2020

RECENT SCHOLAR PUBLICATIONS

  • Industry 5.0 through the lens of ergonomics and sustainability: Mapping the territory
    T Arshi, P Rawal, N Virmani, V Lahri, S Jagtap
    Sustainable Futures 11, 101805 , 2026
    2026.0
  • Metaverse for sustainable circular supply chains: unlocking value and knowledge synergies
    V Lahri, P Kumar, N Virmani
    Journal of Science and Technology Policy Management, 1-22 , 2026
    2026.0
  • A SAP-LAP integrated e-IRP approach for green hydrogen operations for sustainable mobility
    P Kumar, S Mishra, N Virmani, V Lahri, S Singh, VS Sachan, A Yadav
    Discover Sustainability 7 (1), 247 , 2026
    2026.0
  • Determinants of freight logistics performance: a three-dimensional framework of visibility, flexibility and green logistics performance
    S Gupta, V Lahri, N Virmani
    Nankai Business Review International 17 (1), 203-236 , 2026
    2026.0
  • An integrated framework for delivery partner selection and order optimization in quick commerce under uncertain demand
    NK Singh, V Lahri, N Virmani
    Expert Systems with Applications, 131078 , 2026
    2026.0
    Citations: 1
  • Prioritising criteria for sustainable battery supplier selection in the EV sector using fuzzy-ordinal priority approach
    V Lahri, NK Singh, N Virmani
    International Journal of Industrial Engineering and Operations Management 8 … , 2026
    2026.0
    Citations: 2
  • Sustainability framework for manufacturing in the steel industry: emphasis on eco-centric and sociocentric dimensions
    V Lahri, N Virmani, S Jagtap
    Discover Sustainability 6 (1), 743 , 2025
    2025.0
    Citations: 4
  • Assessment of Key Drivers for Selecting Sustainable Health Insurance Schemes: Using the BWM Approach
    V Lahri, M Amir, A Malik
    Data Alchemy in Insurance: Revolutionizing the Insurance Industry through … , 2025
    2025.0
  • A Decision‐Making Framework to Facilitate AI in the Circular Economy: A Case Analysis From an Emerging Economy Context
    N Virmani, V Lahri, S Gupta, JA Garza‐Reyes
    Business Strategy and the Environment , 2025
    2025.0
    Citations: 4
  • Enabling Green Hydrogen Integration in the Automotive Sector: Business Strategies for Net‐Zero Goals
    N Virmani, R Agarwal, D Sharma, V Lahri, D Galgotia, H Alofaysan
    Business Strategy and the Environment , 2025
    2025.0
    Citations: 1
  • Implementation of Digital Tools in The Food Supply Chain for Reducing Food Wastage
    KR Murthy, RS Selvan, W Lukose, A Rose, V Lahri
    2024 Second International Conference Computational and Characterization … , 2024
    2024.0
    Citations: 1
  • Joint Multi-item Multi-supplier Sustainable Lot-Sizing Model Applying Combined BWM, TOPSIS, Possibilistic Programming, and ϵ-constraint Method
    K Shaw, V Lahri, R Shankar, A Ishizaka
    IEEE Transactions on Engineering Management, 1 - 18 , 2023
    2023.0
    Citations: 20
  • Multi-objective Sustainable Distribution Network Design Under Uncertain Environment
    V Lahri, K Shaw
    Flexibility, Innovation, and Sustainable Business, 231-243 , 2022
    2022.0
  • Sustainable supply chain network design problem: Using the integrated BWM, TOPSIS, possibilistic programming, and ε-constrained methods
    V Lahri, K Shaw, A Ishizaka
    Expert Systems with Applications 168, 114373 , 2021
    2021.0
    Citations: 135
  • Assessment of critical drivers towards sustainable green supply chain performance management
    V Lahri
    International Journal of Business Performance and Supply Chain Modelling 11 … , 2020
    2020.0
    Citations: 11
  • Plate cutting error in fabrication shop & their remedial measure with industrial case study
    V Lahri, A Juriani, AL Vaishya
    International Journal of Scientific & Engineering Research 7 (3) , 2016
    2016.0
    Citations: 2
  • A case study of implementation of overall equipment effectiveness on CNC table type boring & milling machine of a heavy machinery manufacturing industry
    V Lahri, P Pathak
    IOSR Journal of Mechanical and Civil Engineering 12 (5), 66-70 , 2015
    2015.0
    Citations: 17
  • Sustainable Futures
    T Arshi, P Rawal, N Virmani, V Lahri, S Jagtap
  • Optimization of Plate Cutting Layout to Minimize Offcut-Scrap using Expertise Approach
    A Juriani, V Lahri

MOST CITED SCHOLAR PUBLICATIONS

  • Sustainable supply chain network design problem: Using the integrated BWM, TOPSIS, possibilistic programming, and ε-constrained methods
    V Lahri, K Shaw, A Ishizaka
    Expert Systems with Applications 168, 114373 , 2021
    2021.0
    Citations: 135
  • Joint Multi-item Multi-supplier Sustainable Lot-Sizing Model Applying Combined BWM, TOPSIS, Possibilistic Programming, and ϵ-constraint Method
    K Shaw, V Lahri, R Shankar, A Ishizaka
    IEEE Transactions on Engineering Management, 1 - 18 , 2023
    2023.0
    Citations: 20
  • A case study of implementation of overall equipment effectiveness on CNC table type boring & milling machine of a heavy machinery manufacturing industry
    V Lahri, P Pathak
    IOSR Journal of Mechanical and Civil Engineering 12 (5), 66-70 , 2015
    2015.0
    Citations: 17
  • Assessment of critical drivers towards sustainable green supply chain performance management
    V Lahri
    International Journal of Business Performance and Supply Chain Modelling 11 … , 2020
    2020.0
    Citations: 11
  • Sustainability framework for manufacturing in the steel industry: emphasis on eco-centric and sociocentric dimensions
    V Lahri, N Virmani, S Jagtap
    Discover Sustainability 6 (1), 743 , 2025
    2025.0
    Citations: 4
  • A Decision‐Making Framework to Facilitate AI in the Circular Economy: A Case Analysis From an Emerging Economy Context
    N Virmani, V Lahri, S Gupta, JA Garza‐Reyes
    Business Strategy and the Environment , 2025
    2025.0
    Citations: 4
  • Prioritising criteria for sustainable battery supplier selection in the EV sector using fuzzy-ordinal priority approach
    V Lahri, NK Singh, N Virmani
    International Journal of Industrial Engineering and Operations Management 8 … , 2026
    2026.0
    Citations: 2
  • Plate cutting error in fabrication shop & their remedial measure with industrial case study
    V Lahri, A Juriani, AL Vaishya
    International Journal of Scientific & Engineering Research 7 (3) , 2016
    2016.0
    Citations: 2
  • An integrated framework for delivery partner selection and order optimization in quick commerce under uncertain demand
    NK Singh, V Lahri, N Virmani
    Expert Systems with Applications, 131078 , 2026
    2026.0
    Citations: 1
  • Enabling Green Hydrogen Integration in the Automotive Sector: Business Strategies for Net‐Zero Goals
    N Virmani, R Agarwal, D Sharma, V Lahri, D Galgotia, H Alofaysan
    Business Strategy and the Environment , 2025
    2025.0
    Citations: 1
  • Implementation of Digital Tools in The Food Supply Chain for Reducing Food Wastage
    KR Murthy, RS Selvan, W Lukose, A Rose, V Lahri
    2024 Second International Conference Computational and Characterization … , 2024
    2024.0
    Citations: 1
  • Industry 5.0 through the lens of ergonomics and sustainability: Mapping the territory
    T Arshi, P Rawal, N Virmani, V Lahri, S Jagtap
    Sustainable Futures 11, 101805 , 2026
    2026.0
  • Metaverse for sustainable circular supply chains: unlocking value and knowledge synergies
    V Lahri, P Kumar, N Virmani
    Journal of Science and Technology Policy Management, 1-22 , 2026
    2026.0
  • A SAP-LAP integrated e-IRP approach for green hydrogen operations for sustainable mobility
    P Kumar, S Mishra, N Virmani, V Lahri, S Singh, VS Sachan, A Yadav
    Discover Sustainability 7 (1), 247 , 2026
    2026.0
  • Determinants of freight logistics performance: a three-dimensional framework of visibility, flexibility and green logistics performance
    S Gupta, V Lahri, N Virmani
    Nankai Business Review International 17 (1), 203-236 , 2026
    2026.0
  • Assessment of Key Drivers for Selecting Sustainable Health Insurance Schemes: Using the BWM Approach
    V Lahri, M Amir, A Malik
    Data Alchemy in Insurance: Revolutionizing the Insurance Industry through … , 2025
    2025.0
  • Multi-objective Sustainable Distribution Network Design Under Uncertain Environment
    V Lahri, K Shaw
    Flexibility, Innovation, and Sustainable Business, 231-243 , 2022
    2022.0
  • Sustainable Futures
    T Arshi, P Rawal, N Virmani, V Lahri, S Jagtap
  • Optimization of Plate Cutting Layout to Minimize Offcut-Scrap using Expertise Approach
    A Juriani, V Lahri