Queuing analysis for improving performance in bacterial vaccine quality control process

Abstract

The aim of the research is to analyze and improve the performance of the vaccine quality control queuing system to reduce delays and achieve the firm’s long-term goal on vaccine production capacity. The research focuses on the Bacterial Vaccine Quality Control (BVQC) at the largest vaccine manufacturers in Indonesia and Southeast Asia. The vaccines handled by BVQC include TT, DTP, BCG, BioTT, BioTd, DT, Td, and DTP-Hb-Hib. The BVQC operates a queuing system with eight servers, each assigned a fixed task. The existing system experienced delays ranging from 13 % to 61 % from January to June 2022. After identifying the queuing characteristics of the existing system, improvement proposals were suggested by modifying the assignment of the servers. This proposal was then simulated in November 2022, resulting in improved performance with no delays, a reduction in the length of the queue in the system (Lq) from 2.88 to 2.59, and a reduction in the average time spent in the system (Ws) from 0.0099 to 0.0044. The research suggests that modifying server assignments can be an effective method for improving the performance of a queuing system in vaccine quality control. This can lead to reduced delays, optimized queue lengths, and improved overall efficiency, potentially enhancing the firm’s ability to meet vaccine demand in the future.