N. Derakhshan

Mazandaran University of Science and Technology

Papers

Total Citations

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About

N. Derakhshan is a researcher in industrial and systems engineering, with a primary focus on production scheduling, just-in-time (JIT) manufacturing, and robotic cell optimization. Their work addresses complex, real-world manufacturing challenges, particularly in hybrid flow shop environments where multiple robots, blocking constraints, and batch delivery logistics must be coordinated. A key contribution is their 2021 paper on due date assignment and JIT scheduling in blocking hybrid flow shop robotic cells, which introduced a mixed integer linear programming (MILP) model to simultaneously determine job sequencing and robot movement. To solve this computationally demanding problem, they developed two meta-heuristic algorithms, demonstrating a practical approach to optimizing both production efficiency and delivery costs. While their citation count is still growing, Derakhshan’s research is notable for tackling the intersection of robotic automation, due date management, and batch delivery—a critical area for modern smart manufacturing. Their work provides a foundation for future studies in integrated scheduling and logistics, making it relevant for students and researchers interested in advanced manufacturing systems, operations research, and the application of meta-heuristics to industrial optimization problems.