FACILITY LOCATION OF ORGAN PROCUREMENT ORGANISATIONS IN INDIAN HEALTH CARE SUPPLY CHAIN MANAGEMENT

In health care supply chain management, particularly in the area of organ transplantation, organ procurement and the transplantation network play an important role. The organ procurement organisation (OPO) should coordinate so that organs are prepared and transported to the recipients when donors become available. The scarcity of organ supply leads to life-challenging issues for the organ recipient. In this research, the importance of the location of OPOs to coordinate with the transplant centres in India is considered, and a solution is provided by facilitating the identification of locations where organs can be procured and distributed to the nearest transplant location. The location of the distribution centres of organs are identified, based on the p-median model. This model minimises the weighted distance of the organ recipients. Initially, the demand or the population density of organ recipients with respect to particular location is recognised. Then, based on the p-median model, the location of OPOs is effectively identified. Experimental analysis proves that the proposed model performs well in facilitating the location of OPOs. The robustness of the proposed work is validated using a sensitivity analysis of the differences in the selection of OPOs when the estimated demand for organs varies.

[1]  Vipul Jain,et al.  Structural investigation of a healthcare value chain: A social network analysis approach , 2014, 2014 IEEE International Conference on Industrial Engineering and Engineering Management.

[2]  John Sprockel,et al.  Technology oriented collaboration through multi-agent systems in operation of a group of transplantation , 2014, 2014 9th Computing Colombian Conference (9CCC).

[3]  Mark S Roberts,et al.  A Methodological Framework for Optimally Reorganizing Liver Transplant Regions , 2005, Medical decision making : an international journal of the Society for Medical Decision Making.

[4]  Abdur Rais,et al.  Operations Research in Healthcare: a survey , 2011, Int. Trans. Oper. Res..

[5]  Rhonda Righter,et al.  A Resource Allocation Problem in a Random Environment , 1989, Oper. Res..

[6]  Prashant Yadav,et al.  Costing the supply chain for delivery of ACT and RDTs in the public sector in Benin and Kenya , 2015, Malaria Journal.

[7]  S. L. Hakimi,et al.  Optimum Locations of Switching Centers and the Absolute Centers and Medians of a Graph , 1964 .

[8]  Siddhartha S. Syam,et al.  A location–allocation model for service providers with application to not-for-profit health care organizations , 2010 .

[9]  H. Scheld,et al.  The heart-allocation simulation model: a tool for comparison of transplantation allocation policies1 , 2003, Transplantation.

[10]  S. Bhattacharya,et al.  Impact of Supply Chain Collaboration on Value Co-creation and Firm Performance: A Healthcare Service Sector Perspective , 2014 .

[11]  Jozef Kratica,et al.  A new mixed integer linear programming model for the multi level uncapacitated facility location problem , 2014 .

[12]  K. Sud,et al.  End-stage renal disease in India and Pakistan: burden of disease and management issues. , 2003, Kidney international. Supplement.

[13]  Domenico Conforti,et al.  A new organ transplantation location–allocation policy: a case study of Italy , 2006, Health care management science.

[14]  Sahar Bayat,et al.  Improving Case-Based Reasoning Systems by Combining K-Nearest Neighbour Algorithm with Logistic Regression in the Prediction of Patients’ Registration on the Renal Transplant Waiting List , 2013, PloS one.

[15]  Mark S. Daskin,et al.  Improving Geographic Equity in Kidney Transplantation Using Alternative Kidney Sharing and Optimization Modeling , 2015, Medical decision making : an international journal of the Society for Medical Decision Making.

[16]  Yu Zhang,et al.  Reliable p-median facility location problem: two-stage robust models and algorithms , 2014 .

[17]  John C. Papageorgiou,et al.  Some operations research applications to problems of health care systems (a survey). , 1978, International journal of bio-medical computing.

[18]  T V Perneger,et al.  Risk of kidney failure associated with the use of acetaminophen, aspirin, and nonsteroidal antiinflammatory drugs. , 1994, The New England journal of medicine.

[19]  Armin Jabbarzadeh,et al.  Dynamic supply chain network design for the supply of blood in disasters: A robust model with real world application , 2014 .

[20]  Lawrence M. Wein,et al.  Dynamic Allocation of Kidneys to Candidates on the Transplant Waiting List , 2000, Oper. Res..

[21]  A. Potter,et al.  Healthcare supply chain management in Malaysia: a case study , 2009 .

[22]  Anna Nagurney,et al.  Supply chain network operations management of a blood banking system with cost and risk minimization , 2011, Comput. Manag. Sci..

[23]  Liesje De Boeck,et al.  Optimizing the facility location design of organ transplant centers , 2013, Decis. Support Syst..

[24]  Stefano Villa,et al.  A framework to analyze hospital-wide patient flow logistics: evidence from an Italian comparative study. , 2014, Health policy.

[25]  J. Vaupel,et al.  Broken Limits to Life Expectancy , 2002, Science.

[26]  Albena R. Iossifova,et al.  Impact of standards adoption on healthcare transaction performance: The case of HIPAA , 2013 .

[27]  H. Kirchner,et al.  The effect of HLA-C matching on acute renal transplant rejection. , 2001, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[28]  R. Wolfe,et al.  Predictability of Survival Models for Waiting List and Transplant Patients: Calculating LYFT , 2009, American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons.

[29]  BeliëNJeroen,et al.  Optimizing the facility location design of organ transplant centers , 2013, DSS 2013.

[30]  Robert M Merion,et al.  Simulating the Allocation of Organs for Transplantation , 2004, Health care management science.

[31]  A. Peres Penteado,et al.  Kidney transplantation process in Brazil represented in business process modeling notation. , 2015, Transplantation proceedings.

[32]  Sanjay Mehrotra,et al.  Characteristics of a simulation model of the national kidney transplantation system , 2013, 2013 Winter Simulations Conference (WSC).

[33]  G. John,et al.  Medical and non-medical factors that affect voluntary living-related kidney donation: A single-center study , 2011, Indian journal of nephrology.

[34]  G. Snell,et al.  Donor selection and management , 2009, Current opinion in organ transplantation.

[35]  Michel Balinski,et al.  Integer Programming: Methods, Uses, Computations , 1965 .

[36]  Reza Tavakkoli-Moghaddam,et al.  Multi-objective design of an organ transplant network under uncertainty , 2014 .

[37]  Radom Pongvuthithum,et al.  Applied p-median and p-center algorithms for facility location problems , 2014, Expert Syst. Appl..

[38]  Mohd Omar,et al.  Location allocation modeling for healthcare facility planning in Malaysia , 2012, Comput. Ind. Eng..

[39]  Kris M. Y. Law,et al.  How schedule issues affect drug logistics operations: an empirical study in hospitals in China , 2016, Ind. Manag. Data Syst..

[40]  Uri Yechiali,et al.  A Time-dependent Stopping Problem with Application to Live Organ Transplants , 1985, Oper. Res..

[41]  J. J. Dahlgaard,et al.  Measuring lean initiatives in health care services: issues and findings , 2006 .