DocumentCode
3721351
Title
A chance-constrained programming model for medical resources order and distribution scheduling based on time-space network
Author
Huixiang Zhang; Ming Liu
Author_Institution
Department of Management Science and Engineering, Nanjing University of Science and Technology, China
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
1
Lastpage
5
Abstract
This paper studies the medical resources order and distribution scheduling problem with stochastic demand. A chance-constrained programming model is proposed based on time-space network with the objective of minimizing the hospital´s total operating costs. Generic algorithm is employed to solve the optimization model. The numerical test results show the good performance of the proposed method.
Keywords
"Hospitals","Mathematical model","Numerical models","Stochastic processes","Sensitivity analysis","Programming","Safety"
Publisher
ieee
Conference_Titel
Logistics, Informatics and Service Sciences (LISS), 2015 International Conference on
Type
conf
DOI
10.1109/LISS.2015.7369631
Filename
7369631
Link To Document