A Collections Planning Model for Regional Blood Suppliers: Description and Validation

Abstract

A planning model has been developed to assist regional blood suppliers in alleviating seasonal imbalances between supply and demand of blood. A Markovian population model is used to project various performance measures for a blood supply region. These measures are summarized in graphs covering a planning period of several months to one year. The planner improves projected performance by changing collection plans and using the planning model iteratively to evaluate each plan. The data required by the model are generally available: past performance of bloodmobile sponsors, quotas and demand forecasts. In this paper the model is described, projected performance measures are validated against actual measures, sensitivity to errors in inputs is analyzed and the model is evaluated relative to less complex models. The planning model is shown to be sufficiently accurate for its purpose and highly effective for its cost. It has been implemented by two regional blood suppliers using remote computer terminals.

A robust optimization model for blood supply chain in emergency situations

“…Different performance measures in blood supply chain Backorders and shortage Pierskalla & Roach 1972;Brodheim et al, 1976;Kaspi & Perry, 1983;Katsaliaki, 2008;Erickson et al, 2008;Blake, 2009;Nagurney, et al 2012;Jabbarzadeh et al, 2014 Transportation costs Cohen et al, 1979;Prastacos & Brodheim, 1980;Federgruen, et al, 1986;Katsaliaki, 2008;Cetin & Sarul 2009;Pierskalla, 2005;Ghandforoush & Sen 2010;Hemmelmayr et al, 2010;Nagurney et al, 2012;Jabbarzadeh et al, 2014;Arvan et al, 2015 Availability and safety Brodheim et al,1975;Cumming et al, 1976;Friedman et al, 1982;Galloway et al, 2008;Kopach et al, 2008; Wastage rate Brodheim et al, 1975;Dumas & Rabinowitz 1977;Chapman & Cook 2002;Pierskalla, 2005;Hess, 2004;Heddle et al, 2009;Davis et al, 2009Other measures Frankfurter et al, 1974Kahn et al, 1978;, Custer et al, 2004;Carden & DelliFraine 2006;Katsaliaki, 2008 Our contribution in this study is to present a dynamic blood supply chain network with a robust approach in disastrous situations. Also our proposed model considers main components in blood supply chain (Blood donors, blood facilities, processing and testing labs, and hospitals).…”

Postdisaster Volatility of Blood Donations in an Unsteady Blood Supply Chain*

“…In order to address shortages and outdates of blood, coordination between hospitals and blood banks have gained special attention among researchers (Beliën & Forcé, ). This covers such ideas as allocation policies of a perishable product from a regional center to different locations in the region (Kendall, ; Federgruen, Prastacos, & Zipkin, ; Tetteh, ), discussing a redistribution system for near‐outdate RBCs to transport units that are about to outdate from a low‐usage hospital to a high‐usage hospital (Denesiuk, Richardson, Nahirniak, & Clarke, ), collections planning for regional blood centers to smooth seasonal variability of supply and demand for blood (Cumming, Kendall, Pegels, Seagle, & Shubsda, ), developing a blood inventory level forecast system to alert regional blood centers (Frankfurter, Kendall, & Pegels, ), investigating various issuing policies implemented in regional blood banks with uncontrollable replenishment (Abbasi & Hosseinifard, ), and finally papers dealing with transshipment and the issue of whether a centralized system outperforms a decentralized system (Dehghani & Abbasi, ; Hosseinifard & Abbasi, ).…”

Model for blood collections management

“…Simulation can be extremely useful to analyze the complex stochastic multi item perishable inventory systems such as blood banks 15‐25 . Simulation has been extensively used, especially in the area of blood banking, to test the effects of issuing and crossmatching policies, ordering and collection policies, and inter blood bank unit transfers on the overall blood bank performance.…”