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

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A Mathematical Model-Based Heuristic for Clustering, Logistics, and Order Pickup in, Constrained Inry Routing Problem with Heterogeneous Vehicles (CIBIRPHV). The problem is distinct and different from the Inventory Routing Problem present in the literature. The objective is to minimize the total costs, comprising of transportation costs, inventory carrying costs, and warehouse storage costs. We p

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,Performance Evaluation of Trucking Industry Using BSC and DEA: A Truck Driver’s Perspective,ng, by focusing on the specific factors or perspectives for efficiency improvement. The results of the study can also be used in strategic implementation to improve the performance of the trucking industry.

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E-procurement: An Emerging Tool for Pharmaceutical Supply Chain Management,eptance model. The identified factors for the model are data integration, performance expectancy, cost and user benefit, innovation, infrastructure, operations, individual attributes, perceived usefulness and perceived ease that will influence pharma companies’ attitude-intention-behaviour to use e-

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Steel Price Forecasting for Better Procurement Decisions: Comparing Tree-Based Decision Learning Meconsidered for forecasting Steel Prices. The results reveal that the proposed methods present a promising forecast with high accuracy. The major performance metric used in this study to measure forecasting accuracy is Mean Absolute Percentage Error (MAPE). The tree-based models used in this paper ga

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Asia, Eastern, Coastal Geomorphologytion, whether procurement is profitable based on the previous auction datasets. The analysis involves a scenario consisting of companies that will dominate the market. This study also consists in determining the decision to occur an auction.

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