Dibyajyoti Biswal

National Institute of Technology Rourkela

Papers

Total Citations

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About

Dibyajyoti Biswal has made significant contributions to the field of manufacturing and assembly automation, with a primary focus on robotic assembly sequence planning and optimization. His key research areas include assembly sequence planning, teaching learning-based optimization (TLBO) algorithms, and manufacturing process optimization. Biswal’s most cited work, "An Optimal Robotic Assembly Sequence Planning by Assembly Subsets Detection Method Using Teaching Learning-Based Optimization Algorithm" (2018), with 67 citations, introduces an innovative approach to reducing assembly time—a critical challenge given that assembly operations account for 30% of manufacturing time. His method leverages assembly subsets detection combined with TLBO to efficiently generate optimal sequences for complex, interacted shape products used in defense, aerospace, and space applications. This work demonstrates his ability to address real-world industrial problems through algorithmic innovation. Biswal’s research has practical implications for improving productivity and cost-efficiency in high-stakes manufacturing environments. His contributions are particularly valuable for students and researchers interested in the intersection of robotics, optimization algorithms, and smart manufacturing, offering a pathway to more streamlined and automated production systems.