Browsing by Author "Luthra, Sunil"

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Citation - WoS: 43
Citation - Scopus: 52
Analysing the adoption barriers of low-carbon operations: A step forward for achieving net-zero emissions
(Elsevier Ltd, 2023-01) Anil Kumar; Sunil Luthra; Sachin Kumar Kumar Mangla; Jose Arturo Garza-Reyes; Yigit Kazancoglu; Garza-Reyes, Jose Arturo; Kumar, Anil; Luthra, Sunil; Mangla, Sachin Kumar; Kazancoglu, Yigit
In November 2021 the 26th United Nations Climate Change Conference (COP26) was held in Glasgow UK the global leaders from nearly 200 countries stressed taking immediate action on the climate issue and how to ensure global net-zero emissions by 2030. It is possible to accelerate the transition to low-carbon energy systems the present study seeks to identify and analyse key barriers to Low Carbon Operations (LCO) in emerging economies. A critical literature review was undertaken to recognise the barriers linked to the adoption of LCO. To validate these barriers an empirical study with a dataset of 127 respondents from the Indian automobile industry was conducted. The validated barriers were analysed using Best Worst Method (BWM) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) techniques. BWM is used to determine the priority ranking of barriers while the DEMATEL method is employed to elucidate the cause-effect inter-relationships among the listed barriers. The results suggest that ‘Economic’ is the most influential category of barriers followed by ‘Infrastructure’ and ‘Operational’. The results also show that the barriers ‘Economic’ ‘Environmental’ ‘Infrastructure’ and ‘Organizational Governance’ belong to the cause group. Some significant managerial implications are recommended to overcome these barriers and to assist firms in the successful adoption of LCO and achieving net-zero emissions. The work was carried out in the automotive industry in India but provides findings that may have wider applicability in other developing countries and beyond. © 2023 Elsevier B.V. All rights reserved.
Citation - WoS: 21
Citation - Scopus: 26
Analyzing critical factors of strategic alignment between operational excellence and Industry 4.0 technologies in smart manufacturing
(Emerald Publishing, 2022-11-22) Melisa Ozbiltekin-Pala; Yigit Kazancoglu; Anil Kumar; Jose Arturo Garza-Reyes; Sunil Luthra; Ozbiltekin-Pala, Melisa; Garza-Reyes, Jose Arturo; Kumar, Anil; Luthra, Sunil; Kazancoglu, Yigit
Purpose: The 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/approach: First 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. Findings: As 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/value: This 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. © 2024 Elsevier B.V. All rights reserved.
Citation - WoS: 6
Citation - Scopus: 7
Are we really addressing the roadblocks to adoption of renewable and sustainable energy technologies? Total interpretive structural modeling approach
(SPRINGER HEIDELBERG, 2024-02-07) Yigit Kazancoglu; Nazlican Gozacan; Sunil Luthra; Anil Kumar; Gozacan, Nazlican; Luthra, Sunil; Kumar, Anil; Kazançoğlu, Yiğit
Urban areas serve as a vital contribution to the global structural change towards renewable and sustainable energy technologies which also influence climate change. The aim of this paper is to identify the adoption roadblocks to renewable and sustainable urban energy technologies. This research has three parts: a mini-systematic literature study was conducted to identify the most prevalent roadblocks. Using total interpretive structural modeling (ISM) the relationships between the roadblocks and the source of causation were then examined. The roadblocks are classified based on their dependence and driving powers using MICMAC analysis in the third part of this research. The principal results and major conclusions demonstrate that all roadblocks are necessary for renewable and sustainable urban energy technologies. The roadblocks at level I are insufficient infrastructure lack of coordination among authorities lack of quality and reliable data and information and competition with non-renewable technologies, roadblocks in level II are lack of skilled and trained personnel limited public participation awareness and consumer interest and lack of standardized technology, roadblock in level III is high initial investment cost, and lastly roadblocks in level IV are lack of subsidies and financial support programs and absence of coherent related policies. Furthermore as a result of the MICMAC analysis none of the aforementioned roadblocks are classified as autonomous variables implying that they are all required. The dependent roadblocks to renewable and sustainable energy technologies are defined as lack of coordination among authorities lack of information and competition with non-renewable technologies. Moreover linkage roadblocks have high dependence and driving powers which are insufficient infrastructure limited awareness and consumer interest and lack of standardized technology. Lastly high initial investment costs lack of subsidies and financial support programs absence of coherent related policies and lack of skilled and trained personnel are the driving roadblocks with high driving power however not dependent.
Citation - WoS: 29
Citation - Scopus: 33
Circular dairy supply chain management through Internet of Things-enabled technologies
(Springer Science and Business Media Deutschland GmbH, 2022-01-06) Yigit Kazancoglu; Melisa Ozbiltekin-Pala; Muruvvet Deniz Sezer; Anil Kumar; Sunil Luthra; Ozbiltekin-Pala, Melisa; Sezer, Muruvvet Deniz; Kumar, Anil; Luthra, Sunil; Kazancoglu, Yigit
Internet of Things-enabled technologies help to collect data and make it understandable especially in supply chain processes thus minimizing the problems that may arise in supply chains. It is extremely important to support this process with Internet of Things-enabled technologies especially in supply chains that are vulnerable to disruptions such as the dairy supply chain. Moreover dairy supply chains are the type of supply chains where the most waste is generated, evaluating this waste is very beneficial to the circular economy. Therefore monitoring data in dairy supply chains and using Internet of Things-enabled technologies prevent losses, it is critical to have Internet of Things-enabled circular dairy supply chains in operation. The aim of this study is to determine the success factors of Internet of Things-enabled circular dairy supply chains based on the various stages of these chains, we hope to match each dairy supply chain stage with a success factor of Internet of Things-enabled technology and determine a ranking for these factors. Hence six success factors of Internet of Things-enabled circular supply chains are weighted for each stage of the chain, Internet of Things-enabled digital technologies are then matched with each stage of the chain and the success factor is determined. The ranking of factors can then be drawn up through the integration of Step Wise Weight Assessment Ratio Analysis (SWARA) and Technique for Order Preference Similar to Ideal Solution (TOPSIS). The outcome of this study will provide managers and policy makers with insights into Internet of Things-enabled circular dairy supply chains. © 2021 Elsevier B.V. All rights reserved.
Citation - Scopus: 274
COVID-19 impact on sustainable production and operations management
(KeAi Communications Co., 2020) Aalok Kumar; Sunil Luthra; Sachin Kumar Kumar Mangla; Yigit Kazancoglu; Kumar, Aalok; Luthra, Sunil; Mangla, Sachin Kumar; Kazançoğlu, Yiğit
The global production and supply chain system is mostly disrupted due to widespread of the coronavirus pandemic (COVID-19). Most of the industrial managers and policymakers are searching for adequate strategies and policies for revamping production patterns and meet consumer demand. Form global supply chain perspectives the majority of raw materials are imported from China and other Asian developing nations. The COVID-19 pandemic has broken the most of transportation links and distribution mechanisms between suppliers production facilities and customers. Therefore it is imperative to discuss sustainable production and consumption pattern in the post-COVID-19 pandemic era. Most of the prominent economies around the world enforced a total lockdown and the focus has since shifted to surge in demand for essential products and services. This has led to a decline in demand for some nonessential products and services. The production and operations management challenges of the pandemic situations are discussed and adequately proposes policy strategies for improving the resilience and sustainability of the system. This paper also discusses the different operations and supply chain perspectives for handling such disruptions in the future. © 2024 Elsevier B.V. All rights reserved.
Role of emerging technologies for empowering resilience and transparency in supply chains
(BMC, 2025-08-13) Yigit Kazancoglu; Sachin Kumar Mangla; Sunil Luthra; Mamta Rani Agarwal; Luthra, Sunil; Agarwal, Mamta Rani; Kazancoglu, Yigit; Mangla, Sachin Kumar
Ensuring resilience and transparency in supply chain (SC) operations has become crucial in today's dynamic and complicated global business environment particularly in the Fast-Moving Consumer Goods (FMCG) industry. Disruptions like the COVID-19 pandemic have highlighted the weaknesses of SCs stressing the necessity for proactive initiatives to improve adaptation and visibility. By defining the key success factors (CSFs) that support resilience and transparency in SCs and investigating the role of developing digital technologies most specifically AI in accomplishing these goals this study seeks to solve these issues. This study systematically finds ranks and assesses CSFs and their compatibility with cutting-edge technologies using a hybrid methodology that combines DEMATEL the Best-Worst Method (BWM) and the VIKOR technique. This study highlights AI's unique potential to promote moral decision-making increase accountability and improve predictive and adaptive skills. It also presents AI as a transformational facilitator. AI is distinguished from conventional technology by these qualities which also establish it as a fundamental component of transparent robust and sustainable SCs. This study fills a significant gap in the literature by integrating ethical AI holistically within a larger framework of digital technology. By connecting theoretical understanding with real-world implementations the study adds to the growing conversation around SC transparency and resilience especially in the FMCG sector. Important results show that using AI gives SCs a competitive edge in negotiating ambiguities and disruptions by allowing them to strike a compromise between operational effectiveness and moral concerns. Through the creative application of cutting-edge digital technologies the study offers practical insights for both practitioners and scholars laying the groundwork for more robust and transparent SC ecosystems.