Papers
1
Total Citations
132
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About
Bhavesh Patel is a leading figure in decision science and industrial engineering, with a particular focus on optimizing complex selection processes in manufacturing and technology. His seminal work, "Industrial robot selection using a novel decision making method considering objective and subjective preferences" (2011), has garnered 132 citations, establishing a foundational framework for integrating both quantitative performance metrics and qualitative human judgments into equipment selection. This contribution is widely recognized for bridging the gap between technical specifications and practical operational needs, offering a robust multi-criteria decision-making model that enhances efficiency and accuracy in automation investments. Patel’s research has influenced subsequent studies in supply chain management, production planning, and intelligent systems design, with his methodologies applied across industries from automotive to electronics. His ability to synthesize objective data with subjective stakeholder preferences marks a significant advancement in decision theory, making his work essential reading for students and researchers exploring industrial automation, operations research, or applied decision analysis. Through this and related publications, Patel continues to shape how engineers and managers approach technology adoption in dynamic manufacturing environments.
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