Future of Work: Achieving Efficiency and Productivity through Optimisation. This project's core objective is to address scheduling and resource allocation challenges in service-oriented businesses, in

Description

Future of Work: Achieving Efficiency and Productivity through Optimisation. This project's core objective is to address scheduling and resource allocation challenges in service-oriented businesses, in collaboration with SA Pathology. It introduces a novel data-driven optimizer to identify optimal resource allocation in these industries, promising accurate workload forecasting, reduced task duration, and enhanced public well-being. It aligns with digital transformation and Industry 4.0 principles. The project's significance lies in generating new interdisciplinary knowledge, with outcomes including improved collaboration, theory development, refined methods, and shorter task completion times. It offers substantial benefits to SA Pathology and similar organizations, enhancing efficiency and resource management.. Scheme: Early Career Industry Fellowships. Field: 4605 - Data Management and Data Science. Lead: Dr Weitong Chen