Queueing network modeling and lead time improvement of pharmaceutical drug development

• Main Authors: Hsing-Hsuan Yang, 楊醒軒
• Other Authors: 謝焸君
• Format: Others
• Language: en_US
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/05492363064360607892

碩士 === 中興大學 === 科技管理研究所 === 95 === In practice, the design of an optimized pharmaceutical drug development process is an important issue. New drug development lead time is a critical performance metric for most pharmaceutical companies. In this study, we use BCMP theorem, a multi-class queuing network model to capture the project dynamics in drug development organizations that involve multiple, concurrent projects with contention for human/technical or equipment resources. We explore how drug development lead times can be reduced using efficient First- Come- First- Served (FCFS) scheduling and critical resource management. Our model captures important facets of the typical drug development process, such as concurrent execution of multiple projects, contention for resources, feedback and reworking of project tasks. We also discuss the variability of new project initiations and task execution times, and certain scheduling issues.