Yazar "Subramanian, Nachiappan" seçeneğine göre listele

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    Blockchain Interoperability Issues in Supply Chain: Exploration of Mass Adoption Procedures
    (Springer Science and Business Media Deutschland GmbH, 2022) Kayıkcı, Yaşanur; Subramanian, Nachiappan
    Today’s supply chains are becoming more data-driven with the impact of big data, but there are many challenges that need to be overcome in big data for better service operations management in supply chains. Blockchain has the great potential to improve big data services and applications with its decentralisation and security nature. However, blockchain interoperability is critical to realising more value creation in blockchain networks and achieving promising results for global supply chains that intersect with multiple business ecosystems and blockchain platforms. In addition, it is unclear how to address interoperability issues for mass adoption. In this chapter, a three-step approach is applied to analyse blockchain interoperability in supply chains for mass adoption. First, a literature review is conducted to explain blockchain technology and the widely used methodologies for blockchain interoperability in supply chains. Then, four real-case blockchain use cases in supply chains from different industry segments are analysed in terms of their technical capabilities addressing interoperability concerns. Finally, we discuss results of use case analysis based on the comments of interviewees. The analysis reveals that REST-APIs with a common interface and GS1 standards are very useful to integrate with blockchain applications in supply chains for mass adoption. © 2022, Springer Nature Switzerland AG.
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    Food supply chain in the era of Industry 4.0: blockchain technology implementation opportunities and impediments from the perspective of people, process, performance, and technology
    (Taylor & Francis Ltd, 2020) Kayıkcı, Yaşanur; Subramanian, Nachiappan; Dora, Manoj; Bhatia, Manjot Singh
    The prevention of food loss throughout the supply chain, including manufacturers, has become a major challenge for a number of organisations. In addition, consumers are also increasingly interested in the authenticity of food and want to ensure that they receive the right quality of food. To address this issue, there is a need for reliable and robust tools to be available in the Industry 4.0 era that can trace the food throughout the supply chain from the farm through processing until it reaches the customer and, thus, ensure transparency. Using the people, process, and technology (PPT) model, this paper develops a blockchain-enabled food supply chain framework including the future opportunities and the present impediments based on the systematic literature review and semi-structured case interviews from the context of emerging economies. The study investigates the suitability of blockchain technology in resolving major challenges, such as traceability, trust, and accountability in the food industry. The study further paves the way for future researchers to address the technological and people-related challenges in the Industry 4.0 era to mitigate the emerging problems in the food sector. Interestingly, we did not find many issues in process- and performance-related aspects. The study offers empirical evidence of blockchain technology implementation in the Industry 4.0 era that opens up the discussion for future researchers and lists the potential threats.
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    Optimal allocation of near-expiry food in a retailer-foodbank supply network with economic and environmental considerations: An aggregator's perspective
    (Elsevier Sci Ltd, 2021) Mandal, Jasashwi; Mitra, Rony; Gupta, Vishal Kumar; Subramanian, Nachiappan; Kayikci, Yasanur; Tiwari, Manoj Kumar
    Wastage of perishable food products is a severe concern to society and needs to be addressed to ensure food security for all. Moreover, the food waste when sent to landfills, decomposes to produce greenhouse gases like methane and carbon dioxide. The emergence of food banks and aggregators has abated the problem of food wastage to a certain extent. An aggregator, which connects the retailers to the food banks, plays a critical role in ensuring that the food reaches the food banks on time. However, to ensure food security and reduce wastage of food, it is essential that food aggregators remain profitable. The aggregator has to determine the number of heterogeneous vehicles to hire from the market and allocate them their route on a daily basis depending on donations committed by the retailers and also take into account potential environmental impact from the decomposition of food waste and carbon emitted from hired vehicles. Hence, we propose decision support for aggregators, using data from an aggregator based in Turkey, which can help in reducing food wastage by allocating the donated food items from retailers to food banks while maximizing the profitability of the aggregator and minimizing the environmental impact. We have also analyzed how the availability of different types of vehicles can impact the aggregator's profit. Furthermore, the effect of various model parameters such as transportation cost, and percentage of retailers' gain paid to the aggregator on the total profit along with the impact of distances on types of vehicles hired is also analyzed. We have compared two strategies that the aggregator could possibly employ and generate managerial insights.