ROLE OF QUEUING MODELING IN BIOTECHNOLOGY: A CASE STUDY OF BACTERIAL VACCINE QUALITY CONTRO

Abstract

The goal of the study is to assess and enhance the efficiency of the vaccination quality assurance queue system to minimize delays and meet the company's long-term target for vaccine manufacturing capacity. The study focuses on the biggest vaccine producers in India and Southeast Asia that use Bacterial Vaccine Quality Control (BVQC). DTP-Hb-Hib, TT, DTP, BCG, BioTT, BioTd, DT, and Td are among the vaccinations used by BVQC. Eight servers, each with a specific purpose, make up the BVQC's queuing system. Between January and June 2024, the current system had delays ranging from 13% to 61%. The existing system's queuing characteristics is identified, and suggestions for improvement will made by changing the servers' assignments. Following the simulation of this concept in November 2024, average amount of time ( WS) spent in the system decreased from 0.0098 to 0.0045, the system's queue length (Lq) decreased from 2.85 to 2.55, and performance increased without any delays. According to the research, changing server assignments can be a useful strategy for A system of queuing functionality in the quality control of vaccines. This may improve the company's capacity to provide future vaccination demand by reducing delays, optimizing line lengths, and increasing overall efficiency.