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Titlebook: Applications of Emerging Technologies and AI/ML Algorithms; International Confer Manoj Kumar Tiwari,Madhu Ranjan Kumar,Rony Mitra Conferenc

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Adsorption Amount and Adsorption Isothermg and compared them to derive the propositions. During the coopetition model, the retailer’s optimal price, order quantity, and profit increased during panic buying, whereas only the optimal price increased for the e-tailer. Manufacturer could reap maximum benefits during the panic buying period. Th
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Q-learning Approach to Mitigate Bacterial Contamination in Food Supply Chain,bread, biscuit, buns, tortillas, etc.) and distribute to retailers who finally sell them to consumers. After the data is securely stored in the decentralized ledger, in our next step, we came up with a data-driven technology such as machine learning (Q-learning model) to filter relevant parameters i
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Optimization of Network Planning in a Real-Life Vehicle Logistics Distribution System,demand at the ports of South Africa. An MILP model is developed to capture the business constraints and the time-dependent storage costs at the facilities, which vary depending on the number of days cars are stored in the facilities. The proposed MILP model uses FIFO strategy to ensure that finished
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Redesigning of Procurement Distribution System Network: An Application of Clustering Algorithms,e required to serve the existing 941 FPS of the district. To determine the optimum number of depots K-mean clustering applying the centroid approach is proposed to be adopted. We are proposing a novel distribution cum procurement supply chain. The trucks on delivery of the goods can collect the grai
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Big Data Analytics and Its Applications in Supply Chain Management: A Literature Review Using SCOR lation and visualisation tend to be the most appropriate BD tools to apply in SCM. Also, linear programming, statistics, association rule mining, fuzzy logic and decision tree are likely to be the most suitable BDA techniques for SC operations.
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