Hayati Mukti Asih
Papers
1
Total Citations
2
H-Index
1
About
Hayati Mukti Asih is a researcher focused on industrial engineering and manufacturing systems, with particular expertise in production process optimization and automation. Her most-cited work, "Simulation of mixed-load testing process in an electronic manufacturing company" (2019), addresses a critical challenge in modern electronics assembly: efficiently testing multiple product families with varying process flows and durations using a single automated testing machine. By simulating the mixed-load tester's operation—including the internal robot's capabilities—Asih provides valuable insights into reducing bottlenecks and improving throughput in high-mix manufacturing environments. Though her citation count is modest, her contribution is notable for tackling the practical complexities of flexible automation in real-world production settings. This work demonstrates her ability to bridge simulation modeling with industrial application, offering a framework that manufacturers can use to optimize testing processes without costly physical trials. Asih's research is particularly relevant for students and practitioners in operations management, lean manufacturing, and Industry 4.0, as it highlights how simulation can enhance decision-making in dynamic production systems. Her focus on mixed-load testing reflects a growing need for adaptable automation solutions in electronics manufacturing.
Research Focus
Key Achievements
Top Papers
- 1