Journal
APPLIED SOFT COMPUTING
Volume 106, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.asoc.2021.107364
Keywords
Blood shortage; Blood collection; Blood allocation; Blood transshipment; Blood supply chain; Discrete event system simulation
Categories
Funding
- National Natural Science Foundation of China [71702015, 71701072, 72088101]
- China Postdoctoral Science Foundation [2017M611810]
- Humanities and Social Sciences Research Program of Chongqing Education Commission [18SKGH063]
- Science and Technology Research Projects of Chongqing Education Commission [KJQN201900812]
Ask authors/readers for more resources
This paper investigates the dynamic decision-making problem of blood supply chain under blood shortage conditions, proposing a blood collection decision-making method based on the EWA strategy. Models for blood transshipment and allocation planning are established, and a DESS framework is designed for simulation experiments. The results show that safety stock, target stock level, and demand fluctuation range have significant impacts on the control effect of blood inventory.
According to the characteristics of blood inventory control problem under the condition of blood shortage, the dynamic decision-making problem of blood supply chain is investigated in this paper. Firstly, based on the recursive equation, the state transition equations of two categories of blood demand under two inventory issue strategies (FIFO and LIFO) are given. The mathematical expressions of key indexes such as blood outdating and blood shortage are obtained. A blood collection decision making method based on EWA (Estimated Withdrawal & Aging) strategy is proposed. Then, an optimal model of blood transshipment problem is established with the goal of the shortest transshipment time and the maximum freshness of the transported blood. In addition, an allocation planning model with multiple priority requirements and fairness concerns is established to achieve the best fairness and the minimum shortage. Besides, a discrete event system simulation (DESS) framework is designed according to the characteristics of the model. Finally, the effectiveness of the decision-making method and EWA inventory strategy are verified by numerical simulation. The results show that safety stock, target stock level and fluctuation range of demand have significant impacts on the control effect of blood inventory. (C) 2021 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available