The 2Bin system for controlling medical supplies at point-of-use

The increase in cost of supplies and services is outpacing the increase in revenues at many hospitals. To address this cost increase hospitals are seeking more efficient ways to store and manage vast inventories of medical supplies. A parsimonious and efficient inventory system which we call 2Bin is becoming increasingly popular in North American hospitals. Under the 2Bin system inventory is stored in two equal-sized bins. 2Bin systems are reviewed periodically and empty bins are replenished. In recent years the adoption of RFID technology for 2Bin systems is allowing continuous-time tracking of empty bins, increasing inventory visibility. In this paper we model the 2Bin inventory system under periodic and continuous review. For periodic review we show that the long-run average cost per unit time is quasi-convex, enabling a simple search for the optimal review cycle. For continuous review, we present a semi-Markov decision model, characterize the optimal replenishment policy, and provide a solution approach to obtain the long-run average cost per unit time. Using data obtained from hospitals currently using RFID-enabled 2Bin systems, we estimate the economic benefits of using the best periodic review length (i.e., parameter optimization), and of using a continuous review inventory policy (i.e., policy improvement). We characterize system conditions such as the number of medical supplies used, replenishment costs, stock-out costs, etc. that favor each option, and provide insights to hospital management on system design considerations that favor the use of periodic or continuous review.

[1]  Eugene A. Feinberg,et al.  Constrained Semi-Markov decision processes with average rewards , 1994, Math. Methods Oper. Res..

[2]  Dimitri P. Bertsekas,et al.  Dynamic Programming and Optimal Control, Two Volume Set , 1995 .

[3]  S. Viswanathan Note. Periodic Review s, S Policies for Joint Replenishment Inventory Systems , 1997 .

[4]  Gudrun P. Kiesmüller,et al.  Developing a closed-form cost expression for an (R, s, nQ) policy where the demand process is compound generalized Erlang , 2007, Oper. Res. Lett..

[5]  Philip J Schneider,et al.  ASHP national survey of pharmacy practice in hospital settings: dispensing and administration--2008. , 2009, American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists.

[6]  William E. Stein,et al.  A stochastic model for a visit to the doctor's office , 2007, Math. Comput. Model..

[7]  Derek A. Atkins,et al.  Periodic Versus Can-Order Policies for Coordinated Multi-Item Inventory Systems , 1988 .

[8]  Osman Alp,et al.  A joint replenishment policy with individual control and constant size orders , 2010 .

[9]  Joseph L. Balintfy,et al.  On a Basic Class of Multi-Item Inventory Problems , 1964 .

[10]  Stéphane Dauzère-Pérès,et al.  A literature review on the impact of RFID technologies on supply chain management , 2010 .

[11]  Uday S. Rao,et al.  Properties of the Periodic Review (R, T) Inventory Control Policy for Stationary, Stochastic Demand , 2003, Manuf. Serv. Oper. Manag..

[12]  Gary M. Gaukler,et al.  Order Progress Information: Improved Dynamic Emergency Ordering Policies , 2008 .

[13]  Hau L. Lee,et al.  Unlocking the Value of RFID , 2007 .

[14]  Banu Yüksel Özkaya,et al.  The stochastic joint replenishment problem: A new policy, analysis, and insights , 2006 .

[15]  Suresh Goyal,et al.  A review of the joint replenishment problem literature: 1989-2005 , 2008, Eur. J. Oper. Res..

[16]  Pricha Pantumsinchai A Comparison of Three Joint Ordering Inventory Policies , 1992 .

[17]  Ren Asmussen,et al.  Fitting Phase-type Distributions via the EM Algorithm , 1996 .

[18]  Iris F. A. Vis,et al.  Inventory control for point-of-use locations in hospitals , 2012, J. Oper. Res. Soc..

[19]  Angel B. Ruiz,et al.  Scheduling logistic activities to improve hospital supply systems , 2007, Comput. Oper. Res..

[20]  Claudia R. Rosales,et al.  Point-of-Use Hybrid Inventory Policy for Hospitals , 2014, Decis. Sci..

[21]  James Little,et al.  Optimal inventory policy within hospital space constraints , 2008, Health care management science.

[22]  Kazim Sari,et al.  Exploring the impacts of radio frequency identification (RFID) technology on supply chain performance , 2010, Eur. J. Oper. Res..

[23]  Abraham Seidmann,et al.  Efficient Inventory Management by Leveraging RFID in Service Organizations , 2010, 2010 43rd Hawaii International Conference on System Sciences.

[24]  Wei Zhou,et al.  RFID and item-level information visibility , 2009, Eur. J. Oper. Res..