Volume 29, Issue 2 (IJIEPR 2018)                   IJIEPR 2018, 29(2): 147-158 | Back to browse issues page

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Bashiri M, Ghasemi E. A Selective Covering-Inventory- Routing problem to the location of bloodmobile to supply stochastic demand of blood. IJIEPR 2018; 29 (2) :147-158
URL: http://ijiepr.iust.ac.ir/article-1-780-en.html
A Selective Covering-Inventory- Routing problem to the location of bloodmobile to supply stochastic demand of blood
Mahdi Bashiri 1, Elaheh Ghasemi2
1- Shahed University , bashiri.m@gmail.com
2- Yaz University
Abstract:   (4738 Views)
Supplying of blood and blood products is one of the most challenging issues in the healthcare system since blood is as extremely perishable and vital good and donation of blood is a voluntary work. In this paper, we propose a two-stage stochastic selective-covering-inventory-routing (SCIR) model to supply whole blood under uncertainty. Here, set of discrete scenarios are used to display uncertainty in stochastic parameters. Both of the fixed blood center and bloodmobile facilities are considered in this study. We suppose that the number of bloodmobiles is indicated in the first stage before knowing which scenario is occurred. To verify the validation of the presented SCIR model to supply whole blood, we examine the impact of parameters variation on the model outputs and cost function using the CPLEX solver. Also the results of comparison between the stochastic approach and expected value approach are discussed.
 
Keywords: Inventory-Routing, Covering problem, Selective Vehicle-Routing, Mobile Blood Collection
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Highlights
  • Integrating covering routing, selective routing and inventory routing problem in bloodmobile routing problem.
  • Considering the inventory management rules of Iranian Blood Transfusion Organization in the bloodmobile routing problem.
  • Presenting a scenario based two-stage stochastic programming for proposed model.

Type of Study: Research | Subject: Logistic & Apply Chain
Received: 2017/08/24 | Accepted: 2018/03/13 | Published: 2018/05/20
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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.