Blood inventory management: hospital best practice.

Blood is a perishable product, and hence good management of inventories is crucial. Blood inventory management is a trade-off between shortage and wastage. The challenge is to keep enough stock to ensure a 100% supply of blood while keeping time expiry losses at a minimum. This article focuses on inventory management of red blood cells in hospital transfusion laboratories to derive principles of best practice and makes recommendations that will ensure losses due to time expiry are kept to a minimum. The literature was reviewed to identify available models for perishable inventory management. Historical data from the UK blood supply chain was analyzed to identify hospitals with good inventory management practice and low wastage levels. Transfusion laboratory managers in the selected hospitals were interviewed in 7 case studies with the aim of identifying drivers for low wastage and good inventory management practice. The findings from the case studies were compared with the literature. The extant literature asserts that the drivers for good inventory performance are the use of complex inventory models and algorithms. This study has found this not to be the case. Instead, good performance is driven by the quality of transfusion laboratory staff, who must be skilled, regularly trained, and experienced. Electronic crossmatching, transparency of the inventory, and simple management procedures also facilitate good performance.

[1]  Emmett J. Lodree,et al.  Production planning for a deteriorating item with stochastic demand and consumer choice , 2008 .

[2]  Stig Arne Mattsson,et al.  Inventory control in environments with short lead times , 2007 .

[3]  K. Spens Integration and performance in a blood supply network , 2006 .

[4]  May,et al.  The cost of blood: multidisciplinary consensus conference for a standard methodology. , 2005, Transfusion medicine reviews.

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

[6]  M. Brandeau,et al.  Operations research and health care : a handbook of methods and applications , 2004 .

[7]  Eric Brodheim,et al.  Computer-based regional blood distribution , 1979, Comput. Oper. Res..

[8]  Donald Wesley Millard Industrial inventory models as applied to the problem of inventorying whole blood , 1959 .

[9]  A SILVER,et al.  AN EMPIRICAL INVENTORY CONTROL SYSTEM FOR HOSPITAL BLOOD BANKS. , 1964, Hospitals.

[10]  T. Cobain Fresh blood product manufacture, issue, and use: a chain of diminishing returns? , 2004, Transfusion medicine reviews.

[11]  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.

[12]  J. Holmström,et al.  The impact of increasing demand visibility on production and inventory control efficiency , 2003 .

[13]  A. Shander The Cost of Blood: Multidisciplinary Consensus Conference for a Standard Methodology , 2005 .

[14]  Michael Carter,et al.  Tutorial on constructing a red blood cell inventory management system with two demand rates , 2008, Eur. J. Oper. Res..

[15]  S. K. Goyal,et al.  Recent trends in modeling of deteriorating inventory , 2001, Eur. J. Oper. Res..

[16]  R. Cook,et al.  The Blood Stocks Management Scheme, a partnership venture between the National Blood Service of England and North Wales and participating hospitals for maximizing blood supply chain management , 2002, Vox sanguinis.

[17]  Wen-Chuan Lee,et al.  An EOQ model for deteriorating items with time-varying demand and shortages , 2000, Int. J. Syst. Sci..

[18]  W. Pierskalla,et al.  Target Inventory Levels for a Hospital Blood Bank or a Decentralized Regional Blood Banking System , 1979, Transfusion.

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

[20]  Bülent Sezen,et al.  Changes in performance under various lengths of review periods in a periodic review inventory control system with lost sales: A simulation study , 2006 .

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

[22]  Judith Chapman Unlocking the essentials of effective blood inventory management , 2007, Transfusion.

[23]  Hirofumi Matsuo,et al.  Perishable inventory systems with batch demand and arrivals , 1993, Oper. Res. Lett..

[24]  S. Yedgar,et al.  Circulatory risk in the transfusion of red blood cells with impaired flow properties induced by storage. , 2011, Transfusion medicine reviews.

[25]  P. D. Cumming,et al.  A Collections Planning Model for Regional Blood Suppliers: Description and Validation , 1976 .

[26]  J. Hess,et al.  Storage of red blood cells: new approaches. , 2002, Transfusion medicine reviews.

[27]  Steven Nahmias,et al.  Perishable Inventory Theory: A Review , 1982, Oper. Res..

[28]  C Hyam,et al.  Hospital Blood Inventory Practice: the factors affecting stock level and wastage , 2009, Transfusion medicine.

[29]  Kenneth E. Kendall,et al.  Formulating Blood Rotation Policies with Multiple Objectives , 1980 .

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

[31]  W. Pierskalla Supply Chain Management of Blood Banks , 2005 .

[32]  J. Isbister Risk management in transfusion medicine. , 1994, Transfusion medicine reviews.

[33]  Kenneth E. Kendall,et al.  Improving perishable product inventory management using goal programming , 1980 .

[34]  T. Cheng,et al.  Mean – variance analysis of the newsvendormodel with stockout cost , 2009 .

[35]  Gregory P. Prastacos,et al.  On the Evaluation of a Class of Inventory Policies for Perishable Products Such as Blood , 1975 .

[36]  Eylem Tekin,et al.  Age-based vs. stock level control policies for a perishable inventory system , 2001, Eur. J. Oper. Res..

[37]  Korina Katsaliaki,et al.  Cost-effective practices in the blood service sector. , 2008, Health policy.

[38]  Gregory P. Prastacos,et al.  Critical number ordering policy for LIFO perishable inventory systems , 1981, Comput. Oper. Res..

[39]  Karel H. van Donselaar,et al.  A heuristic to manage perishable inventory with batch ordering, positive lead-times, and time-varying demand , 2009, Comput. Oper. Res..

[40]  Moncer Hariga Optimal inventory policies for perishable items with time-dependent demand , 1997 .

[41]  G. Prastacos Blood Inventory Management: An Overview of Theory and Practice , 1984 .

[42]  Fred Raafat,et al.  Survey of Literature on Continuously Deteriorating Inventory Models , 1991 .

[43]  Gregory P. Prastacos,et al.  PBDS: A Decision Support System for Regional Blood Management , 1980 .

[44]  Michael H. Kanter,et al.  Transfusion medicine. First of two parts--blood transfusion. , 1999 .

[45]  J. Acker,et al.  Blood preservation workshop: new and emerging trends in research and clinical practice. , 2009, Transfusion medicine reviews.

[46]  Jc Jan Fransoo,et al.  Inventory control of perishables in supermarkets , 2006 .

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

[48]  Karen Spens,et al.  Using simulation to increase efficiency in blood supply chains , 2006 .

[49]  S. Urbaniak,et al.  The supply of blood products in 10 different systems or countries. , 2000, Transfusion science.

[50]  E. Vamvakas,et al.  Epidemiology of red blood cell utilization. , 1996, Transfusion medicine reviews.

[51]  Werner Jammernegg,et al.  Risk preferences and robust inventory decisions , 2009 .