Dynamic supply chain network design for the supply of blood in disasters: A robust model with real world application

Transportation Research Part E: Logistics and Transportation Review

Volumn 70, Issue 1, 2014, Pages 225-244

  Jabbarzadeh, Armin ^a   Fahimnia, Behnam ^b   Seuring, Stefan ^c  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b UNIVERSITY OF SYDNEY   (Australia)

^c UNIVERSITY OF KASSEL   (Germany)

Author keywords

Blood supply chain; Disaster; Location and allocation; Robust optimization; Supply chain network design; Uncertainty

Indexed keywords

BLOOD; DESIGN; DISASTER RELIEF; HEALTH SERVICES; NETWORK ANALYSIS; NUMERICAL MODEL; OPTIMIZATION; PERFORMANCE ASSESSMENT; RESOURCE ALLOCATION; TRADE-OFF; UNCERTAINTY ANALYSIS; DISASTER MANAGEMENT; LOCATION-ALLOCATION MODEL; MODEL TEST; PLANNING METHOD;

BLOOD; DISASTERS; OPTIMIZATION;

BLOOD SUPPLY; BLOOD SUPPLY CHAIN; DYNAMIC SUPPLY CHAINS; LOCATION AND ALLOCATION; REAL-WORLD; ROBUST MODELING; ROBUST NETWORK; ROBUST OPTIMIZATION; SUPPLY CHAIN NETWORK DESIGN; UNCERTAINTY;

SUPPLY CHAINS;

EID: 84905699640     PISSN: 13665545     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tre.2014.06.003     Document Type: Article

References (47)

1. Abolghasemi H., Radfar M.H., Tabatabaee M., Hosseini-Divkolayee N.S., Burkle F.M. Revisiting blood transfusion preparedness: experience from the Bam earthquake response. Prehospital Disaster Med. 2008, 23(5):391-394.
2. American Association of Blood banks Disaster operations handbook-Hospital Supplement 2008, 118-128.
3. Arabani A.B., Farahani R.Z. Facility location dynamics: an overview of classifications and applications. Comput. Ind. Eng. 2012, 62(1):408-420.
4. Bertsimas D., Sim M. The Price of Robustness. Oper. Res. 2004, 52:35-53.
5. Ballou R.H. Dynamic warehouse location analysis. J. Mark. Res. 1968, 5:271-276.
6. Beliën J., Forcé H. Supply chain management of blood products: a literature review. Eur. J. Oper. Res. 2012, 217:1-16.
7. Bozorgi-Amiri A., Jabalameli M.S., Mirzapour Al-e-Hashem S.M. A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty. OR Spectrum 2011, 1-29.
8. Birge J.R. The value of the stochastic solution in stochastic linear programs with fixed recourse. Math. Program. 1982, 24:314-325.
9. Birge J.R., Louveaux F. Introduction to Stochastic Programming 2011, Springer.
10. Cetin E., Sarul L.S. A blood bank location model: a multiobjective approach. Eur. J. Pure Appl. Math. 2009, 2(1):112-124.
11. Cheraghali A. Overview of blood transfusion system of Iran: 2002-2011. Iran.J. Public Health 2012, 41(8):89-93.
12. Correia I., Melo T., Saldanha-da-Gama F. Comparing classical performance measures for a multi-period, two-echelon supply chain network design problem with sizing decisions. Comput. Ind. Eng. 2013, 64:366-380.
13. Daskin M.S., Coullard C., Shen Z.J.M. An inventory-location model: formulation, solution algorithm and computational results. Ann. Oper. Res. 2002, 110:83-106.
14. Delen D., Erraguntla M., Mayer R.J., Wu C.N. Better management of blood supply-chain with GIS-based analytics. Ann. Oper. Res. 2011, 185(1):181-193.
15. De Rosa V., Gebhard M., Hartmann E., Wollenweber J. Robust sustainable bi-directional logistics network design under uncertainty. Int. J. Prod. Econ. 2013, 145:184-198.
16. Doocy, S., Daniels, A., Packer, C., Dick, A., Kirsch, T.D., 2013. The human impact of earthquakes: a historical review of events 1980-2009 and systematic literature review, PLoS Curr. 5.
17. Esmaeilikia, M., Fahimnia, B., Sarkis, J., Govindan, K., Kumar, A., Mo, J., Tactical supply chain planning models with inherent flexibility: definition and review. Ann. Oper. Res. (in press). http://dx.doi.org/10.1007/s10479-014-1544-3.
18. Hess J.R., Thomas M.J. Blood use in war and disaster: lessons from the past century. Transfusion 2003, 43(11):1622-1633.
19. Hinojosa Y., Kalcsics J., Nickel S., Puerto J., Velten S. Dynamic supply chain design with inventory. Comput. Oper. Res. 2008, 35:373-391.
20. Hinojosa Y., Puerto J., Fernandez F.R. A multiperiod two-echelon multicommodity capacitated plant location problem. Eur. J. Oper. Res. 2000, 123:271-291.
21. Jabbarzadeh A., Jalali Naini S.G., Davoudpour H., Azad N. Designing a supply chain network under the risk of disruptions. Math. Prob. Eng. 2012, 10.1155/2012/234324.
22. Kiakalayeh A.D., Paridar M., Toogeh G.H. Cost unit analysis of blood transfusion centers in Guilan province. Sci. J. Iran. Blood Transfus. Org. 2012, 9(3).
23. Kuruppu K.K. Management of blood system in disasters. Biologicals 2010, 38:87-90.
24. Lalmazloumian M., Wong K.Y., Govindan K., Kannan D. A robust optimization model for agile and build-to-order supply chain planning under uncertainties. Ann. Oper. Res. 2013.
25. Leung S.C.H., Tsang S.O.S., Ng W.L., Wu Y. Robust optimization model for multi-site production planning problem in an uncertain environment. Eur. J. Oper. Res. 2007, 181:224-238.
26. Mahmoodian Shooshtari M., Pourfathollah A. An overview analysis of blood donation in the Islamic Republic of Iran. Arch. Iran. Med. 2006, 9(3):200-203.
27. Maggioni F., Wallace S.W. Analyzing the quality of the expected value solution in stochastic programming. Ann. Oper. Res. 2012, 200:37-54.
28. Melo M.T., Nickel S., Saldanha-da-Gama F. Facility location and supply chain management - a review. Eur. J. Oper. Res. 2009, 196(2):401-412.
29. Melo M.T., Nickel S., Gama F. Dynamic multi-commodity capacitated facility location: a mathematical modeling framework for strategic supply chain planning. Comput. Oper. Res. 2005, 33(8):181-207.
30. Mulvey J.M., Ruszczynski A. A new scenario decomposition method for large-scale stochastic optimization. Oper. Res. 1995, 43:477-490.
31. Mulvey J.M., Vanderbei R.J., Zenios S.A. Robust optimization of large-scale systems. Oper. Res. 1995, 43(2):264-281.
32. Nagurney A., Masoumi A.H., Yu M. Supply chain network operations management of a blood banking system with cost and risk minimization. CMS 2012, 9(2):205-231.
33. Nagurney A., Masoumi A.H. Supply chain network design of a sustainable blood banking system. Sustainable Supply Chains: Models 2012, 49-72. Methods and Public Policy Implications, Springer, London, England. T. Boone, V. Jayaraman, R. Ganeshan (Eds.).
34. Najafi M., Eshghi K., Dullaert W. A multi-objective robust optimization model for logistics planning in the earthquake response phase. Transp. Res. Part E 2013, 49(1):217-249.
35. Nollet K.E., Ohto H., Yasuda H., Hasegawa A. The Great East Japan earthquake of March 11, 2011, from the vantage point of blood banking and transfusion medicine. Transfus. Med. Rev. 2013, 27(1):29-35.
36. Pierskalla W.P. Supply chain management of blood banks. Operations Research and Health Care: A Handbook of Methods and Applications 2004, 103-145. Kluwer Academic Publishers, Boston, Massachusetts. M.L. Brandeau, F. Sanfort, W.P. Pierskalla (Eds.).
37. Sabzehchian M., Abolghasemi H., Radfar M.H., Jonaidi-Jafari N., Ghasemzadeh H., Burkle F.M. Pediatric trauma at tertiary-level hospitals in the aftermath of the Bam, Iran earthquake. Prehospital Disaster Med. 2006, 21(5):336-339.
38. Sahin G., Meral S., Süral H. Locational analysis for regionalization of Turkish Red Crescent blood services. Comput. Oper. Res. 2007, 34(3):692-704.
39. Schultz C.H., Koenig K.L., Noji E.K. A medical disaster response to reduce immediate mortality after an earthquake. N. Eng. J. Med. 1996, 334:438-444.
40. Sha Y., Huang Jun The multi-period location-allocation problem of engineering emergency blood supply systems. Safety and emergency. Syst. Eng. 2012, 5:21-28.
41. Shen Z.J.M., Coullard C., Daskin M.S. A joint location-inventory model. Transp. Sci. 2003, 37(1):40-55.
42. Sheu J.B. An emergency logistics distribution approach for quick response to urgent relief demand in disasters. Transp. Res. Part E 2007, 43(6):687-709.
43. Sheu J.B. Dynamic relief-demand management for emergency logistics operations under large-scale disasters. Transp. Res. Part E 2010, 46(1):1-17.
44. Sourirajan K., Ozsen L., Uzsoy R. A genetic algorithm for a single product network design model with lead time and safety stock considerations. Eur. J. Oper. Res. 2008, 197:599-608.
45. Tabatabaie M., Ardalan A., Abolghasemi H., Holakouie Naieni K., Pourmalek F., Ahmadi B., Shokouhi M. Estimating blood transfusion requirements in preparation for a major earthquake: the Tehran Iran study. Prehospital Disaster Med. 2010, 25(3):246-252.
46. Wagner H.M. Principles of Operations Research 1975, Prentice Hall, New Jersey.
47. Yu C.S., Li H.L. A robust optimization model for stochastic logistic problems. Int. J. Prod. Econ. 2000, 64:385-397.