A simulation-optimization approach for capacity planning and appointment scheduling of blood donors based on mathematical programming representation of event dynamics

作者：Alfonso, Edgar^*; Xie, Xiaolan; Augusto, Vincent

来源：IEEE International Conference on Automation Science and Engineering (CASE), 2015-08-24 To 2015-08-28.

DOI：10.1109/CoASE.2015.7294167

• Appointment scheduling
• Blood collection
• Capacity planning
• Mixed integer programming (MIP)
• Numerical experiments
• Representation of events
• Simulation optimization
• Transient performance

This paper presents a simulation-optimization approach based on mathematical programming representation of event dynamics for capacity planning and appointment scheduling in blood collection systems. The mathematical model is formulated as a multi-criteria mixed integer programming (MIP) which corresponds to the stochastic counterpart approximating problem which characterize the underlying event dynamics and transient performance measures of a blood collection system which has been simplified to a M/M/S(t) system. In this case the random variables analyzed are non-homogeneous arrivals of whole blood donors, physician service times and no-shows of scheduled donors. Numerical experiments are then performed to determine the appointment scheduling and capacity planning for different intraday (within-day) patterns of blood donors systems in order to simultaneously maximize donor service level and minimize the system overtime.

• 出版日期2015
• 单位上海交通大学