Iraj Mahdavi

Mazandaran University of Science and Technology

Papers

Total Citations

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About

Iraj Mahdavi is a leading researcher in manufacturing systems optimization, with a focus on stochastic programming, just-in-time (JIT) scheduling, and automated production environments. His work addresses critical challenges in modern manufacturing, including time-cost trade-offs, defect rates, and robotic cell coordination. In his highly cited 2009 paper, Mahdavi applied stochastic programming to optimize production time and cost in automated systems using automated guided vehicles and robots, offering a robust framework for handling uncertainty in defect rates, breakdowns, and processing times. More recently, his 2021 study tackled the complex problem of due date assignment and JIT scheduling in blocking hybrid flow shop robotic cells with multiple robots and batch delivery costs, introducing a mixed integer linear programming model and meta-heuristic algorithms like Artificial Bee Colony. With over 8 citations on his foundational work and growing recognition for his contributions to production scheduling, Mahdavi’s research provides practical solutions for improving efficiency and cost-effectiveness in automated manufacturing, making him a valuable resource for students and researchers in industrial engineering and operations research.