Dolapo Obimuyiwa

Papers

Total Citations

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About

Dolapo Obimuyiwa is a researcher in industrial engineering and operations research, with a primary focus on production scheduling and optimization. Their most cited work, "Mathematical model and simulated annealing algorithm for setup operator constrained flexible job shop scheduling problem" (2022, 62 citations), addresses a critical gap in manufacturing systems by integrating operator constraints with machine scheduling—a realistic but often overlooked factor in flexible job shops. Obimuyiwa developed a novel mathematical model and a simulated annealing algorithm to solve this complex problem, demonstrating how metaheuristics can efficiently handle real-world production constraints. This contribution is significant for industries aiming to reduce downtime and improve resource allocation. With 62 citations, the paper has already influenced subsequent studies in scheduling theory and applied optimization. Obimuyiwa’s work bridges theoretical modeling and practical implementation, offering valuable insights for both academics and practitioners in manufacturing and logistics. Their research continues to explore the intersection of human factors and automation, making them a notable voice in the evolution of smart manufacturing systems.