Dr. Sunil Luthra
@aicte-india.org
Director
All India Council of Technical Education, New Delhi
Dr. Sunil Luthra is working as the Director, All India Council for Technical Education, New Delhi, India. Prior to that, he worked as the Director-Principal at Ch. Ranbir Singh State Institute of Engineering & Technology, Jhajjar, Haryana, India. He is also Visiting Professor at the ‘Centre for Supply Chain Improvement, University of Derby, Derby, United Kingdom. He has contributed over 240 research papers in inter-national referred and national journals and conferences at international and national level. He has an excellent research track record (over 1000 cumulative research impact factor points; received more than 12300 citations on Google Scholar; H-index–57 on Google Scholar). He has received many Awards and Honours for the research and teaching. He published many research articles in highly reputed journals like Transportation Research Part E Logistics and Transportation Review, Renewable and Sustainable Energy Reviews, Journal of Cleaner Production, Journal of Business Research
RESEARCH INTERESTS
Sustainability, Production and Operations Management, Supply Chain Management, Industrial Engineering, Industry 4.0/Industry 5.0, Green/Sustainable/Circular Supply Chains, Circular Economy, Cleaner Technologies, Sustainable Societies
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Kiran Sankar M.S, Sumit Gupta, Sunil Luthra, Anil Kumar, Sandeep Jagtap, and Ashutosh Samadhiya
Elsevier BV
K.E.K. Vimal, Pooja Goel, Nitika Sharma, K. Mathiyazhagan, and Sunil Luthra
Elsevier BV
Yigit Kazancoglu, Cisem Lafci, Anil Kumar, Sunil Luthra, Jose Arturo Garza‐Reyes, and Yalcin Berberoglu
Wiley
AbstractThe impact of climate change, including fires, droughts and storms, on natural resources and agricultural output is increasing. In addition to these problems, resource depletion and greenhouse gas (GHG) emissions, agriculture also contributes to global warming. To reduce the dangers of climate change, farmers are using sustainable practices. This article aims to link agri‐food 4.0 technology with climate‐smart agriculture (CSA) to lessen the two‐way interaction (both affecting and impacted) between the agricultural sector and global warming, as well as dangers related to the agri‐food business. In light of this information, the research methodology of the paper is twofold. Initially, related risks towards climate change and the CSA and agri‐food 4.0 technologies to overcome these risks were determined through a literature review. Then, risks and technologies are evaluated by adopting the TODIM (an acronym in Portuguese for Interactive and Multicriteria Decision Making), which is used for evaluating the criteria set with the related technologies to overcome climate change‐related risks and provide a guiding map for academics and practitioners to eliminate risks associated with these climate change‐related factors. According to the study's findings, the highest‐priority concerns in the agri‐food industries that are connected to climate change include energy consumption, food safety and GHG emissions. Internet of Things (IoT), bio‐innovation and artificial intelligence are thought to be the most promising technological solutions to address these problems.
Sanjeev Yadav, Sunil Luthra, Anil Kumar, Rohit Agrawal, and Guilherme F. Frederico
Emerald
PurposeThis study aims to explore the mediating role of digital technologies-based supply chain integrating (SCI) strategies on the agri-supply chain performance (SCP) and firm performance (FP). This research has introduced recently emerged digital technologies such as Internet of Things (IoT). Further, based on theoretical support and an extensive literature review, this research has proposed some hypotheses, which have been quantitatively validated for their significance.Design/methodology/approachA conceptual model was formulated based on an extensive literature review. Data for this research were gathered from a survey completed by 119 respondents from different departments of agri-firms. Further, partial least square (PLS)-based structured equation modelling (SEM) was used to test the proposed hypothetical model.FindingsThe results confirm that IoT-based digital technologies and supply chain processes (organization integration [OI], information sharing and customer integration [CI]) have a significant positive correlation. Furthermore, supply chain practices are positively associated with SCP. Finally, it has been found that FP is positively impacted by SCP.Research limitations/implicationsThis research is used to analyse the mediating impacts of digital supply chain processes as a linking strategy for SCP and FP. For practical purposes, this research provides investment decisions for implementing digital technologies in SC strategies. The findings have proposed implications for managers and practitioners in agri-firms based on existing theories: contingency theory (CT) and relational view theory. Also, this study suggests the deployment of smarter electronically based tags and readers, which improve the data analytics capabilities based on auto-captured data. Thus, the availability of quality information improves the data-driven decisional capabilities of managers at company level.Originality/valueThis is a unique and original study exploring the relationship between digitalization, resilient agri-food supply chain (AFSC) management practices and firm performance. This research may be extended to other industries in view of the results from SCP and impact of digitalization.
Vishal Ashok Wankhede, Rohit Agrawal, Anil Kumar, Sunil Luthra, Dragan Pamucar, and Željko Stević
Emerald
Purpose Sustainable development goals (SDGs) are gaining significant importance in the current environment. Many businesses are keen to adopt SDGs to get a competitive edge. There are certain challenges in realigning the present working scenario for sustainable development, which is a primary concern for society. Various firms are adopting sustainable engineering (SE) practices to tackle such issues. Artificial intelligence (AI) is an emerging technology that can help the ineffective adoption of sustainable practices in an uncertain environment. In this regard, there is a need to review the current research practices in the field of SE in AI. The purpose of the present study is to comprehensive review the research trend in the field of SE in AI. Design/methodology/approach This work presents a review of AI applications in SE for decision-making in an uncertain environment. SCOPUS database was considered for shortlisting the articles. Specific keywords on AI, SE and decision-making were given, and a total of 127 articles were shortlisted after implying inclusion and exclusion criteria. Findings Bibliometric study and network analyses were performed to analyse the current research trends and to see the research collaboration between researchers and countries. Emerging research themes were identified by using structural topic modelling (STM) and were discussed further. Research limitations/implications Research propositions corresponding to each research theme were presented for future research directions. Finally, the implications of the study were discussed. Originality/value This work presents a systematic review of articles in the field of AI applications in SE with the help of bibliometric study, network analyses and STM.
Khadija Echefaj, Abdelkabir Charkaoui, Anass Cherrafi, Anil Kumar, and Sunil Luthra
Emerald
Purpose The purpose of this study is to identify and prioritize capabilities and practices to ensure a resilient supply chain during an unexpected disruption. In addition, this study ranks maturity factors that influence the main capabilities identified. Design/methodology/approach This paper is conducted in three stages. First, capabilities and practices are extracted through a literature review. Second, capabilities and practices are ranked using the analytical hierarchical process method. Third, a gray technique for order preference by similarity to ideal solution method is used to rank maturity factors influencing capabilities. Findings The findings indicate that responsiveness, readiness, flexibility and adaptability are the most important capabilities for supply chain resilience. Also, commitment and communication are the highest maturity factors influencing resilience capabilities. Research limitations/implications The findings provide a hierarchical vision of capabilities and practices for industries to increase resilience. Limitations of the paper are related to capabilities, practices and number of experts consulted. Practical implications This paper highlights the importance of high-maturity practices in resilience capability adoption. The findings of this study will encourage decisions-makers to increase maturity practices to build resilience against disruption. Originality/value The paper reveals that developing powerful capabilities, good practices and a high level of maturity improve supply chain resilience.
Sanjeev Yadav, Ashutosh Samadhiya, Anil Kumar, Sunil Luthra, and Krishan Kumar Pandey
Elsevier BV
Manu Sharma, Deepak Kaushal, Sudhanshu Joshi, Anil Kumar, and Sunil Luthra
Elsevier BV
Sachin Kumar Mangla, Sunil Luthra, Jose Arturo Garza-Reyes, Charbel Jose Chiappetta Jabbour, and Alexander Brem
Elsevier BV
Yiğit Kazançoğlu, Nazlican Gozacan, Sunil Luthra, and Anil Kumar
Springer Science and Business Media LLC
Ashutosh Samadhiya, Anil Kumar, Jose Arturo Garza-Reyes, Sunil Luthra, and Francisco del Olmo García
Elsevier BV
Gyan Prakash, Sahiba Sharma, Anil Kumar, and Sunil Luthra
Elsevier BV
Yuvika Gupta, Farheen Mujeeb Khan, Anil Kumar, Sunil Luthra, and Maciel M. Queiroz
Emerald
PurposeWith the emergence of big data analytics and the importance of analytics-driven decisions, the travel industry is swiftly jumping on and adopting the bandwagon. However, research in this domain is limited. Accordingly, the present research seeks to understand how big data analytics capabilities (BDAC) add value to tourism supply chains (TSCs) and can dynamic capabilities (DC) improve the triple bottom line.Design/methodology/approachData from 218 valid responses were collected from different Indian tourism industry units. Confirmatory factor analysis (CFA) was applied to confirm the constructs, followed by partial least squares structural equation modelling (PLS-SEM) to check the mediating effect of DC on TSCs performance.FindingsThe findings show that BDAC significantly influence the performance of TSCs and that DC plays a critical role in strengthening the impact of BDAC on TSCs' economic performance. These results corroborate that DC plays a key moderating role.Research limitations/implicationsThis study contributes significantly to the tourism sector in India, where tourism is a key contributor to the country's gross domestic product. Theoretically, this study contributes to the resource-based view (RBV) and practically encourages professionals in the tourism sector to promote the use of BDAC to enhance the performance of TSCs.Originality/valueThe originality of the study is that it has tried to comprehend the moderating role of dynamic capabilities which impact BDAC to improve TSC performance.
Melisa Ozbiltekin-Pala, Yigit Kazancoglu, Anil Kumar, Jose Arturo Garza-Reyes, and Sunil Luthra
Emerald
PurposeThe manufacturing sector is highly competitive and operationally complex. Therefore, the strategic alignment between operational excellence methodologies and Industry 4.0 technologies is one of the issues that need to be addressed. The main aim of the study is to determine the critical factors of strategic alignment between operational excellence methodologies and Industry 4.0 technologies for manufacturing industries and make comparative analyses between automotive, food and textile industries in terms of strategic alignment between operational excellence methodologies and Industry 4.0 technologies.Design/methodology/approachFirst, determining the critical factors based on literature review and expert opinions, these criteria are weighted, and analytical hierarchy process is run to calculate the weights of these criteria. Afterward, the best sector is determined by the grey relational analysis method according to the criteria for the three manufacturing industries selected for the study.FindingsAs a result of AHP, “Infrastructure for Right Methodology, Techniques and Tools, is in the first place,” Organizational Strategy, is in the second place, while the third highest critical factor is “Capital Investment”. Moreover, based on grey relational analysis (GRA) results, the automotive industry is determined as the best alternative in terms of strategic alignment between operational excellence (OPEX) methodologies and I4.0 technologies.Originality/valueThis study is unique in that it is primarily possible to obtain the order of importance within the criteria and to make comparisons between three important manufacturing industries that are important for the economies of the world.
Sudhanshu Joshi, Manu Sharma, Sunil Luthra, Jose Arturo Garza-Reyes, and Ramesh Anbanandam
Emerald
PurposeThe research aims to develop an assessment framework that evaluates critical success factors (CSFs) for the Quality 4.0 (Q 4.0) transition among Indian firms.Design/methodology/approachThe authors use the fuzzy-Delphi method to validate the results of a systematic literature review (SLR) that explores critical aspects. Further, the fuzzy decision-making trial and laboratory (DEMATEL) method determines the cause-and-effect link. The findings indicate that developing a Q 4.0 framework is essential for the long-term success of manufacturing companies. Utilizing the power of digital technology, data analytics and automation, manufacturing companies can benefit from the Q 4.0 framework. Product quality, operational effectiveness and overall business performance may all be enhanced by implementing the Q 4.0 transition framework.FindingsThe study highlights significant awareness of Q 4.0 in the Indian manufacturing sector that is acquired through various means such as training, experience, learning and research. However, most manufacturing industries in India still follow older quality paradigms. On the other hand, Indian manufacturing industries seem well-equipped to adopt Q 4.0, given practitioners' firm grasp of its concepts and anticipated benefits, including improved customer satisfaction, product refinement, continuous process enhancement, waste reduction and informed decision-making. Adoption hurdles involve challenges including reliable electricity access, high-speed Internet, infrastructure, a skilled workforce and financial support. The study also introduces a transition framework facilitating the shift from conventional methods to Q 4.0, aligned with the principles of the Fourth Industrial Revolution (IR).Research limitations/implicationsThis research exclusively examines the manufacturing sector, neglecting other fields such as medical, service, mining and construction. Additionally, there needs to be more emphasis on the Q 4.0 implementation frameworks within the scope of the study.Originality/valueThis may be the inaugural framework for transitioning to Q 4.0 in India's manufacturing sectors and, conceivably, other developing nations.
Sudhanshu Joshi, Manu Sharma, Sunil Luthra, Rajeev Agarwal, and Rajeev Rathi
Springer Science and Business Media LLC
Shilpa Taneja, Ahsan Siraj, Liaqat Ali, Anil Kumar, Sunil Luthra, and Yongming Zhu
Institute of Electrical and Electronics Engineers (IEEE)
Suneet Singh, Akhilesh Barve, Kamalakanta Muduli, Anil Kumar, and Sunil Luthra
Institute of Electrical and Electronics Engineers (IEEE)
Nowadays, freight logistics industries are seeking to adopt green freight practices in their transport systems to reduce environmental concerns; efficient green freight practices lead to reductions in greenhouse gas emissions while using less energy and material. The freight logistics industry, despite its significant contribution to a country's monetary development and economic welfare, is not well regarded because of its role in contaminating the climate. However, the freight logistics industry is trying to implement a green freight transportation system to improve their image with buyers. However, they are facing a lot of obstacles. Therefore, this article seeks to identify the barriers to the implementation of green freight in first world and third world nations and formulate them into a single numeric index. The interval-valued intuitionistic fuzzy set based graph theory and matrix approach technique has been used in this research to derive the green freight barrier impact index value. The PERMAN algorithm is used to compute the permanent function of matrices. Findings suggest that the freight logistics industries in third world nations should pay more attention to societal and managerial barriers for successful implementation of green freight. This research will assist policymakers and managers of freight logistics industries to create strategies to overcome the hurdles in properly implementing green freight practices.
Pratibha Wasan, Ashwani Kumar, and Sunil Luthra
Institute of Electrical and Electronics Engineers (IEEE)
The need to increase green developers’ access to finance is critical and urgent for emerging economies that are currently facing an annual green financing gap of $2.5 trillion. This article investigates barriers and strategies for promoting green finance (hereafter GF) in India which is one of the fastest emerging economies globally. The article uses a two-phase methodology. In the first phase, an exhaustive literature survey followed by a three-round modified Delphi method is used to extract significant barriers and solution strategies for GF adoption. In the second phase, the best worst method is used to rank the barriers using their relative weights, and the solution strategies by utilizing global weights as input. The article finds that policy, economic, and knowledge barriers are the top three barriers for GF adoption. Clear green policies and risk assessment frameworks; credit enhancement mechanisms for green developers; low-cost refinancing and securitization markets for green technology and products; and combining directed finance with incentivized finance, public finance with private finance, and financial markets with technology are some of the most important strategies obtained from this article for promoting GF adoption.
Rohit Agrawal, Abhijit Majumdar, Anil Kumar, and Sunil Luthra
Springer Science and Business Media LLC
Sumanta Das, Abhiram Yadav Myla, Akhilesh Barve, Anil Kumar, Naresh Chandra Sahu, Kamalakanta Muduli, and Sunil Luthra
Wiley
Ashutosh Samadhiya, Anil Kumar, Sanjeev Yadav, Sunil Luthra, Charbel Jose Chiappetta Jabbour, and Rajat Agrawal
Elsevier BV
Ashutosh Samadhiya, Sanjeev Yadav, Anil Kumar, Abhijit Majumdar, Sunil Luthra, Jose Arturo Garza-Reyes, and Arvind Upadhyay
Elsevier BV
Radha Yadav, Dharmendra Kumar, Anil Kumar, and Sunil Luthra
Wiley
Sanjeev Yadav, Ashutosh Samadhiya, Anil Kumar, Abhijit Majumdar, Jose Arturo Garza-Reyes, and Sunil Luthra
Elsevier BV