Siti Nurmaya Musa

Papers

Total Citations

236

H-Index

About

Siti Nurmaya Musa is a prominent researcher specializing in advanced manufacturing systems, optimization algorithms, and flexible production environments. Her work sits at the critical intersection of intelligent computational methods and industrial engineering, addressing some of the most pressing challenges in modern manufacturing. Musa has made particularly significant contributions to the scheduling and optimization of Automated Guided Vehicles (AGVs) within Flexible Manufacturing Systems (FMS). Her landmark 2017 paper on multi-objective AGV scheduling using a hybrid genetic algorithm and particle swarm optimization approach has garnered 135 citations, establishing her as a leading voice in applying evolutionary computation to manufacturing logistics. A companion study introducing a fuzzy hybrid GA-PSO algorithm further cemented her expertise in intelligent scheduling frameworks, accumulating an additional 50 citations. Beyond optimization, Musa has demonstrated a broad understanding of industry trends through her highly regarded 2023 review of the high-mix, low-volume (HMLV) manufacturing sector, already cited 51 times, synthesizing over two decades of research to guide manufacturers navigating increasing product customization demands. Collectively, her scholarship offers both theoretical rigor and practical relevance, making her an invaluable reference for researchers and practitioners working to enhance manufacturing flexibility and responsiveness in dynamic market environments.