Ganda Boonsothonsatit

King Mongkut's University of Technology Thonburi

Papers

Total Citations

H-Index

About

Ganda Boonsothonsatit is a researcher focused on the intersection of healthcare technology, logistics, and Industry 4.0 readiness. Her work primarily addresses decision-making frameworks for technology adoption in hospitals and supply chain optimization for manufacturing sectors. Her most cited paper, "Development of a Hybrid AHP-TOPSIS Decision-Making Framework for Technology Selection in Hospital Medication Dispensing Processes" (2024), has garnered 30 citations, demonstrating significant impact in healthcare operations research. This study provides a structured approach for hospitals to evaluate and integrate advanced technologies, aiming to enhance patient care and reduce errors. Boonsothonsatit has also contributed to logistics and warehouse management, with papers on "Value Stream Mapping-based Logistics 4.0 Readiness for Thailand Automotive-Part Manufacturers" (2020, 6 citations) and "Strategic Design for Warehouse 4.0 Readiness in Thailand" (2020, 4 citations). These works address the challenges faced by Thai automotive parts manufacturers and warehouse operators in adopting robotics, automation, and IoT to improve competitiveness. Her research is particularly relevant for students and practitioners interested in applied decision science, healthcare technology management, and the digital transformation of industrial logistics in emerging economies.