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Hospitals Automatic Replenishment System Under Surge Demand: a Proactive Priority Management Policy of Replenishment Orders


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DOI: https://doi.org/10.15866/iremos.v12i3.17190

Abstract


Recently, hospitals utilize RFID (Radio-frequency identification) enabled Two-Bin system with conveyors for an effective and automatic inventory and replenishment management. In this framework, replenishment orders are typically managed according to continuous review. In case of surge in demand due to special-events and disasters, the resulted big number of replenishment orders is managed in real time according to First-In First-Out (the first order is replenished first) with Priority of Out-of-Stock Medicines (FIFO-POSM) policy. However, this policy lacks flexibility with random increase in medicines consumption and lacks anticipation, leading to stock-outs occurrence. So far, there is not a flexible and anticipative policy for orders priority management in this case. This paper proposes a flexible and anticipative policy based on stock coverage indicator and anticipative system of random variations in medicines demand, to considerably reduce or eliminate stock-outs. RFID enabled Two-Bin system with conveyors is modeled using Colored Timed Petri Nets, first, considering FIFO-POSM policy then considering the proposed policy. Simulation results prove the efficiency of the proposed policy; medicines stock-outs and out-of-stock medicines unavailability durations are respectively reduced by 54.24% and 52.06% during ten days of a public protest.
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Keywords


Conveyor System; Surge Demand; Modeling & Simulation (Colored Timed Petri Nets); Replenishment Orders Priority Management Policy; RFID Enabled Two-Bin System

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References


S. Landry, and M. Beaulieu, Achieving lean healthcare by combining the two-bin kanban replenishment system with RFID technology, International Journal of Health Management and Information, Vol. 1(Issue 1): 85-98, 2010.

S. Jeon, J. Lee, Multi-robot Control Architecture for Hospital Delivery Service in Unstable Network Environment, The 14th International Conference on Informatics in Control, Automation and Robotics, Vol. 2, pp. 270-277, Madrid, Spain, July 2017.
https://doi.org/10.5220/0006410502700277

M. Naor, A. Dey, S. Meyer Goldstein, and Y. Rosen, Civilian-military pooling of health care resources in Haiti: a theory of complementarities perspective, International Journal of Production Research, Vol. 56(Issue 21): 6741-6757, 2018.
https://doi.org/10.1080/00207543.2017.1355121

S. Paul, and J. Venkateswaran, Impact of drug supply chain on the dynamics of infectious diseases, System Dynamics Review, Vol. 33(Issue 3-4): 280-310, 2017.
https://doi.org/10.1002/sdr.1592

M. Sbayou, Y. Bouanan, G. Zacharewicz, J. Ribault, J. François, DEVS modelling and simulation for healthcare process application for hospital emergency department, Proceedings of the 50th Annual Simulation Symposium, p. 4, April 2017.
https://doi.org/10.22360/springsim.2017.anss.014

S. Jebbor, A. El Afia, R. Chiheb, F. Ouzayd, Management and control of stochastic drug supply chain by KANBAN and Petri Net, IEEE International Conference on Logistics Operations Management, pp. 1-6, Fez, Morocco, May 2016.
https://doi.org/10.1109/gol.2016.7731668

H. H. Xiong, M. Zhou, C. N. Manikopoulos, Modeling and performance analysis of medical services systems using Petri nets, IEEE International Conference on Systems, Man, and Cybernetics, Vol. 3, PP. 2339-2342, 1994.
https://doi.org/10.1109/icsmc.1994.400215

S. S. Choi, M. K. Choi, W. J. Song, S. H. Son, Ubiquitous RFID healthcare systems analysis on physionet grid portal services using petri nets, The Fifth International Conference on Information, Communications and Signal Processing, pp. 1254-1258, December 2005.
https://doi.org/10.1109/icics.2005.1689256

S. Jebbor, A. El Afia, R. Chiheb, F. Ouzayd, Comparative analysis of drug supply and inventory management methods- literature review, the 4th IEEE International Colloquium on Information Science and Technology, pp. 13-18, Tangier, Morocco, October 2016.
https://doi.org/10.1109/cist.2016.7805036

G. T. Donnelly, L. T. Forester, and L. F. Donnelly, Reliable and Efficient Supply Chain Management in Radiology: Implementation of a Two-Bin Demand-Flow System, Journal of the American College of Radiology, Vol. 13(Issue 4): 426-428, 2016.
https://doi.org/10.1016/j.jacr.2015.09.006

J. Costa, M.S. Carvalho, and A. Nobre, Implementation of Advanced Warehouses in a Hospital Environment-Case study, Journal of Physics: Conference Series, Vol. 616(Issue 1): 012005, 2015.
https://doi.org/10.1088/1742-6596/616/1/012005

K. J. Wilson, R. Hodge, and D. Bivens, Reducing Stockouts in a Cancer Center’s Ambulatory Care Clinics, Engineering Management Journal, Vol. 27(Issue 3): 99-108, 2015.
https://doi.org/10.1080/10429247.2015.1059218

R. Gavan Jr, and J. J. Fowler, Determining Optimal Ordering Policy for the Naval Ophthalmic Support and Training Activity (NOSTRA), Master dissertation, Naval Postgraduate School, Monterey, United States, 2019.

Y. Bendavid, H. Boeck, and R. Philippe, Redesigning the replenishment process of medical supplies in hospitals with RFID, Business Process Management Journal, Vol. 16(Issue 6): 991-1013, 2010.
https://doi.org/10.1108/14637151011093035

C. R. Rosales, M. Magazine, and U. Rao, The 2Bin system for controlling medical supplies at point-of-use, European Journal of Operational Research, Vol. 243(Issue 1): 271-280, 2015.
https://doi.org/10.1016/j.ejor.2014.10.041

A. Romero, and E. Lefebvre, Combining barcodes and RFID in a hybrid solution to improve hospital pharmacy logistics processes, International Journal of Information Technology and Management, Vol. 14(Issue 2-3): 97-123, 2015.
https://doi.org/10.1504/ijitm.2015.068504

J. Volland, A. Fügener, J. Schoenfelder, and J.O. Brunner, Material logistics in hospitals: a literature review, Omega, Vol. 69: 82-101, 2017.
https://doi.org/10.1016/j.omega.2016.08.004

M. del Carmen León-Araujo, E. Gómez-Inhiesto, and M. T. Acaiturri-Ayesta, Implementation and Evaluation of a RFID Smart Cabinet to Improve Traceability and the Efficient Consumption of High Cost Medical Supplies in a Large Hospital, Journal of medical systems, Vol. 43(Issue 6): 178, 2019.
https://doi.org/10.1007/s10916-019-1269-6

V. Bélanger, M. Beaulieu, S. Landry, and P. Morales, Where to locate medical supplies in nursing units: An exploratory study, Supply Chain Forum: An International Journal, Vol. 19(Issue 1): 81-89, 2018.
https://doi.org/10.1080/16258312.2018.1433438

K. Moons, G. Waeyenbergh, and L. Pintelon, Measuring the logistics performance of internal hospital supply chains–a literature study, Omega, Vol. 82: 205-217, 2019.
https://doi.org/10.1016/j.omega.2018.01.007

I. Lee, Valuation Methods for RFID Investments, Encyclopedia of E-Commerce Development, Implementation and Management (IGI Global, 2016, pp. 522-534).
https://doi.org/10.4018/978-1-4666-9787-4.ch038

E. Ahmadi, D.T. Masel, A.Y. Metcalf, and K. Schuller, Inventory management of surgical supplies and sterile instruments in hospitals: a literature review, Health Systems, 1-18, 2018.
https://doi.org/10.1080/20476965.2018.1496875

C. G. Rodriguez‐Gonzalez, A. Herranz‐Alonso, V. Escudero‐Vilaplana, M. A. Ais‐Larisgoitia, I. Iglesias‐Peinado, and M. Sanjurjo‐Saez, Robotic dispensing improves patient safety, inventory management, and staff satisfaction in an outpatient hospital pharmacy, Journal of evaluation in clinical practice, 2019.
https://doi.org/10.1111/jep.13014

A. R. Vila-Parrish, J. S. Ivy, and B. He, Impact of the influenza season on a hospital from a pharmaceutical inventory management perspective, Health Systems, Vol. 4(Issue 1): 12-28, 2015.
https://doi.org/10.1057/hs.2014.13

Q. Song, Y. J. Zheng, Y. J. Huang, Z. G. Xu, W. G. Sheng, and J. Yang, Emergency Drug Procurement Planning Based on Big-Data Driven Morbidity Prediction, IEEE Transactions on Industrial Informatics, 2018.
https://doi.org/10.1109/tii.2018.2870879

M. S. Roni, S. D. Eksioglu, M. Jin, and S. Mamun, A hybrid inventory policy with split delivery under regular and surge demand, International Journal of Production Economics, Vol. 172: 126-136, 2016.
https://doi.org/10.1016/j.ijpe.2015.11.015

P. Hu, Y. Li, X. Zhou, and Z. Cai, A Fuzzy Scheduling Approach for Medicine Supply in Hospital Management Information System with Uncertain Demand,bn International Journal of Intelligent Information Systems, Vol. 5(Issue 6): 94, 2016.
https://doi.org/10.11648/j.ijiis.20160506.13

E. Lofgren, A. Vullikanti, Hospital stockpiling problems with inventory sharing, The Thirtieth AAAI Conference on Artificial Intelligence, February 2016.

H. C. Huang, O. M. Araz, D.P. Morton, G.P. Johnson, P. Damien, B. Clements, and L.A. Meyers, Stockpiling ventilators for influenza pandemics, Emerging infectious diseases, Vol. 23 (Issue 6): 914, 2017.
https://doi.org/10.3201/eid2306.161417

V. Augusto, and X. Xie, A modeling and simulation framework for health care systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 44(Issue 1): 30-46, 2014.
https://doi.org/10.1109/tsmc.2013.2239640

S. Oueida, Y. Kotb, M. Aloqaily, Y. Jararweh, and T. Baker, An edge computing based smart healthcare framework for resource management, Sensors, Vol. 18(Issue 12): 4307, 2018.
https://doi.org/10.3390/s18124307

Y. T. Kotb, A.S. Baumgart, An extended Petri net for modeling workflow with critical sections, IEEE International Conference on e-Business Engineering, pp. 134-141, October 2005.
https://doi.org/10.1109/icebe.2005.27

M. Criswell, I. Hasan, R. Kopach, S. Lambert, M. Lawley, D. McWilliams, N. Varadarajan, Emergency Department divert avoidance using Petri nets, IEEE International Conference on System of Systems Engineering, pp. 1-6, San Antonio, TX, April 2007.
https://doi.org/10.1109/sysose.2007.4304256

M. Dotoli, M.P. Fanti, A.M. Mangini, and W. Ukovich, A continuous Petri net model for the management and design of emergency cardiology departments, IFAC Proceedings Volumes, Vol. 42(Issue 17): 50-55, 2009.
https://doi.org/10.3182/20090916-3-es-3003.00010

G. Amodio, M.P. Fanti, A.M. Mangini, W. Ukovich, Modelling and Performance Evaluation of Cardiology Emergency Departments by Petri Nets, ORHAS, Leuven, Belgium, July 2009.

M. Dotoli, M.P. Fanti, G. Iacobellis, L. Martino, A.M. Moretti, W. Ukovich, Modeling and management of a hospital department via petri nets, IEEE Workshop on Health Care Management, pp. 1-6, Venice, Italy, February 2010.
https://doi.org/10.1109/whcm.2010.5441248

S. Rodier, An attempt to unify and solve modeling and optimization problems in hospital systems: Application to the new Estaing hospital, Ph.D. dissertation, Blaise Pascal Univ., Clermont-Ferrand, France, 2010.

J.C. Huet, Proposal of a Reengineering Methodology for Product Control of Manufacturing Systems: Application to the Drug Circuit of a Hospital, Ph.D. dissertation, Blaise Pascal Univ., Clermont-Ferrand, France, 2011.

S. Shan, L. Wang, and L. Li, Modeling of emergency response decision-making process using stochastic Petri net: an e-service perspective, Information Technology and Management, Vol. 13(Issue 4): 363-376, 2012.
https://doi.org/10.1007/s10799-012-0128-7

F. Ouzayd, J. Saadi, J. Benhra, and A. Zakari, Medicine Drugs Circuit: Analyze Performance with Simulation Models, International Journal of Computer Applications, Vol. 53(Issue 14): 44 – 50, 2012.
https://doi.org/10.5120/8492-2440

Ouzayd, F., Saadi, J., Benhra, J., Proposed a simulation models in medicine drugs circuit with UML and Colored Petri Net: case Moroccan hospital system, (2012) International Review of modeling and simulation (IREMOS), 5(1), pp. 489-496.

M. P. Fanti, A.M. Mangini, M. Dotoli, and W. Ukovich, A three-level strategy for the design and performance evaluation of hospital departments, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 43(Issue 4): 742-756, 2013.
https://doi.org/10.1109/tsmca.2012.2217319

CPN Tools Homepage http://www.cpntools.org/.

K. Jensen, L.M. Kristensen, and L. Wells, Coloured Petri Nets and CPN Tools for modelling and validation of concurrent systems, International Journal on Software Tools for Technology Transfer, Vol. 9(Issue 3-4): 213-254, 2007.
https://doi.org/10.1007/s10009-007-0038-x

S. He, M. Sim, and M. Zhang, Data-driven patient scheduling in emergency departments: A hybrid robust-stochastic approach, Management Science, 2019.
https://doi.org/10.1287/mnsc.2018.3145

H. Guo, D. Goldsman, K.L. Tsui, Y. Zhou, and S.Y. Wong, Using simulation and optimisation to characterise durations of emergency department service times with incomplete data, International Journal of Production Research, Vol. 54(Issue 21): 6494-6511, 2016.
https://doi.org/10.1080/00207543.2016.1205760

J. Gillespie, S. McClean, L. Garg, M. Barton, B. Scotney, and K. Fullerton, multi-phase DES modelling framework for patient-centred care, Journal of the Operational Research Society, Vol. 67(Issue 10): 1239-1249, 2016.
https://doi.org/10.1057/jors.2015.114

S. S. Jones, R. S. Evans, An agent based simulation tool for scheduling emergency department physicians, AMIA Annual Symposium Proceedings, pp. 338–342, 2008.

E. Rolko, and T. Chan, Implementation of radio frequency identification for medication tray management, The Canadian journal of hospital pharmacy, Vol. 68(Issue 5): 412-416, 2015.
https://doi.org/10.4212/cjhp.v68i5.1490

https://6river.com/what-is-voice-picking/


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