Energy Management by Operation Scheduling for Blood Analyzer in a Hospital

Currently, many patients visit hospitals to check for bodily abnormalities, prompting hospitals to operate blood specimen analyzers (Cobas-8000) in laboratories to accommodate blood samples at all times. However, the number of patients is not consistently high, leading to inefficient usage of the chemical analysis machines. This research presents energy management for the Cobas-8000 model C702 blood specimen analyzer by scheduling the machine's operation to match the volume of blood samples, thereby reducing operational costs. These costs include electricity usage and the depreciation of the analyzer equipment. The research categorizes conditions based on the number of blood tests sent for analysis and the operational status of the analyzer, which includes Full Operation Mode, Standby Mode, and Off Mode, considering two situations before and after implementing the proposed method. Previously, the results indicate that the energy consumption of the blood specimen analyzer does not correspond to the volume of blood samples, resulting in unnecessary depreciation costs. By introducing the proposed scheduling, divided into six case studies, it is demonstrated that energy consumption and equipment depreciation can be significantly reduced, achieving a total cost reduction of 47.95%-59.71 % per year compared to the existing continuous full operation mode.