Zachary Hassan

Papers

Total Citations

H-Index

About

Zachary Hassan is a researcher in operations research and manufacturing systems, with a focus on the scheduling and optimization of additive manufacturing technologies. His work addresses critical challenges in 3D printing production, particularly in minimizing makespan—the total time required to complete a batch of jobs—to improve efficiency and throughput in industrial settings. His most-cited paper, "Scheduling 3D Printing Machines to Minimize Makespan" (2023), introduces novel algorithms that balance machine utilization and job sequencing, offering practical solutions for high-mix, low-volume production environments. Although early in his career, Hassan’s contributions are already shaping how manufacturers integrate 3D printing into scalable workflows, with implications for reducing waste and accelerating prototyping cycles. His research bridges theoretical scheduling models and real-world constraints, making him a rising voice in the field of smart manufacturing. As additive manufacturing expands into aerospace, healthcare, and automotive sectors, Hassan’s work provides foundational tools for optimizing these emerging production systems.