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

被引：0

作者：

Alfonso, Edgar ^{[1
]}

Xie, Xiaolan ^{[2
,3
]}

Augusto, Vincent ^{[2
]}

机构：

[1] Univ Sabana, Logist Syst Grp, Chia, Cundinamarca, Colombia

[2] Ecole Natl Super Mines, Ctr Biomed & Healthcare Engn, LIMOS, CNRS,UMR 6158,IEOR, F-42023 St Etienne 2, France

[3] Shanghai Jiao Tong Univ, Dept Ind Engn & Management, Shanghai, Peoples R China

来源：

2015 INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE) | 2015年

关键词：

HEALTH-CARE;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：728 / 733

页数：6