Demand Forecasting for Blood Components Distribution of a Blood Supply Chain

Abstract The blood center is the focus unit of a blood supply chain; and it has among its main assignments, the following activities: blood collection from donors, blood processing and blood components distribution to hospitals and healthcare institutions. It is surely the nervous center of the chain where planning, monitoring and controlling of these activities must be efficiently performed in order to prevent the stockout or outdate of blood components. All efficiency performance provided by a blood center will depend on the quality of its planning process, which starts with a good accuracy of forecasting required for blood supply and blood components. In this paper, a computational environment, which is oriented for forecasting of blood components, is presented. The idea is to improve the planning of the inventory balance process of the blood supply chain.

[1]  James Durbin,et al.  The fitting of time series models , 1960 .

[2]  C A Catassi,et al.  The Blood Inventory Control System—Helping Blood Bank Management through Computerized Inventory Control * , 1967, Transfusion.

[3]  S Graf,et al.  Blood Inventory Distribution by Type in a Total Supply System , 1972, Transfusion.

[4]  John B. Jennings,et al.  Blood Bank Inventory Control , 1973 .

[5]  T. Ozaki.  On the Order Determination of Arima Models , 1977 .

[6]  B A Friedman,et al.  Recycling Older Blood by Integration into the Inventory of a Single Large Hospital Blood Bank: A Computer Simulation Application , 1978, Transfusion.

[7]  A F Britten,et al.  Weekly Rotation of Blood Inventory—A System for Supplying Small Hospitals , 1979, Transfusion.

[8]  Everette S. Gardner,et al.  Box-Jenkins vs Multiple Regression: Some Adventures in Forecasting the Demand for Blood Tests , 1979 .

[9]  Peter Lau,et al.  Regional Blood Inventory Management Development, Implementation and 30‐Month Follow‐Up 1 , 1981, Vox sanguinis.

[10]  E Brodheim,et al.  A computer planning model for blood platelet production and distribution. , 1991, Computer methods and programs in biomedicine.

[11]  A. Thomson,et al.  Inventory management in Sydney Public Hospital Blood Banks , 1994, Transfusion medicine.

[12]  Oscar Salviano Silva Filho,et al.  A decision support system for automatic modeling of time-series based on historical sales data , 2000 .

[13]  E. Reynolds,et al.  The impact of improved safety on maintaining a sufficient blood supply. , 2001, Transfusion clinique et biologique : journal de la Societe francaise de transfusion sanguine.

[14]  W. Owens,et al.  Age of blood in inventory at a large tertiary care hospital , 2001, Vox sanguinis.

[15]  J F Chapman,et al.  Blood inventory management , 2004, Vox sanguinis.

[16]  A. Pereira,et al.  Blood inventory management in the type and screen era , 2005, Vox sanguinis.

[17]  René Haijema,et al.  Blood platelet production: a novel approach for practical optimization , 2009, Transfusion.

[18]  Simaan M. AbouRizk,et al.  Automated Box–Jenkins forecasting modelling , 2009 .

[19]  Harshal Lowalekar,et al.  Model for blood collections management , 2010, Transfusion.

[20]  J. Christian Lang.  Blood Bank Inventory Control with Transshipments and Substitutions , 2010 .

[21]  Navonil Mustafee,et al.  The blood supply game , 2010, Proceedings of the 2010 Winter Simulation Conference.

[22]  Parviz Ghandforoush,et al.  A DSS to manage platelet production supply chain for regional blood centers , 2010, Decis. Support Syst..

[23]  Itir Z. Karaesmen,et al.  Managing Perishable and Aging Inventories: Review and Future Research Directions , 2011 .

[24]  Reha Uzsoy,et al.  Planning Production and Inventories in the Extended Enterprise , 2011 .

[25]  Suhartono.  Time Series Forecasting by using Seasonal Autoregressive Integrated Moving Average: Subset, Multiplicative or Additive Model , 2011 .