A two-stage stochastic programming model for inventory management in the blood supply chain

International Journal of Production Economics

Volumn 187, Issue , 2017, Pages 27-41

  Dillon, Mary ^a   Oliveira, Fabricio ^a   Abbasi, Babak ^a  

^a RMIT UNIVERSITY   (Australia)

Author keywords

Blood supply chain; Inventory management; Perishability; Stochastic demand; Two stage stochastic programming

Indexed keywords

BLOOD; COSTS; INVENTORY CONTROL; RANDOM PROCESSES; STOCHASTIC CONTROL SYSTEMS; STOCHASTIC PROGRAMMING; STOCHASTIC SYSTEMS; SUPPLY CHAIN MANAGEMENT; SUPPLY CHAINS;

BLOOD SUPPLY; INVENTORY MANAGEMENT; PERISHABILITY; STOCHASTIC DEMAND; TWO-STAGE STOCHASTIC PROGRAMMING;

STOCHASTIC MODELS;

EID: 85013749478     PISSN: 09255273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpe.2017.02.006     Document Type: Article

References (58)

1. Abbasi, B., Hosseinifard, S.Z., On the issuing policies for perishable items such as red blood cells and platelets in blood service. Decis. Sci. 45:5 (2014), 995–1020.
2. Abbasi, B., Vakili, G., Chesneau, S., 2016. The impacts of reducing the shelf-life of red blood cells a view from down under, working paper, RMIT University.
3. Abdulwahab, U., Wahab, M., Approximate dynamic programming modeling for a typical blood platelet bank. Comput. Ind. Eng. 78 (2014), 259–270.
4. Axsäter, S., Inventory Control. 90, 2007, Springer Science & Business Media, New York.
5. Beliën, J., Forcé, H., Supply chain management of blood products: a literature review. Eur. J. Oper. Res. 217:1 (2012), 1–16.
6. Birge, J.R., Louveaux, F., Introduction to Stochastic Programming. 2011, Springer Science & Business Media, New York.
7. Blake, J.T., Hardy, M., Delage, G., Myhal, G., Déjà-vu all over again: using simulation to evaluate the impact of shorter shelf life for red blood cells at Héma-Québec. Transfusion 53:7 (2013), 1544–1558.
8. Bosnes, V., Aldrin, M., Heier, H.E., Predicting blood donor arrival. Transfusion 45:2 (2005), 162–170.
9. Brandeau, M.L., Sainfort, F., Pierskalla, W.P., Operations Research and Health Care: A Handbook of Methods and Applications. 70, 2004, Springer Science & Business Media, Massachusetts.
10. Brodheim, E., Derman, C., Prastacos, G., On the evaluation of a class of inventory policies for perishable products such as blood. Manag. Sci. 21:11 (1975), 1320–1325.
11. Brodheim, E., Hirsch, R., Prastacos, G., Setting inventory levels for hospital blood banks. Transfusion 16:1 (1976), 63–70.
12. Caulfield, J., Blood supply management: experience and recommendations from Australia. ISBT Sci. Ser. 8:1 (2013), 41–45.
13. Caulfield, J., Can we manage blood inventory effectively?. ISBT Sci. Ser. 9:1 (2014), 184–188.
14. Chung, Y.T., Erhun, F., Designing supply contracts for perishable goods with two periods of shelf life. IIE Trans. 45:1 (2013), 53–67.
15. Civelek, I., Karaesmen, I., Scheller-Wolf, A., Blood platelet inventory management with protection levels. Eur. J. Oper. Res. 243:3 (2015), 826–838.
16. Cohen, M.A., Pierskalla, W.P., Target inventory levels for a hospital blood bank or a decentralized regional blood banking system. Transfusion 19:4 (1979), 444–454.
17. Cunha, P., Raupp, F., Oliveira, F., 2016. A two-stage stochastic programming model for periodic replenishment control system under demand uncertainty. Computers and Industrial Engineering, working paper.
18. Duan, Q., Liao, T.W., A new age-based replenishment policy for supply chain inventory optimization of highly perishable products. Int. J. Prod. Econ. 145:2 (2013), 658–671.
19. Duan, Q., Liao, T.W., Optimization of blood supply chain with shortened shelf lives and abo compatibility. Int. J. Prod. Econ. 153 (2014), 113–129.
20. Fattahi, M., Mahootchi, M., Moattar Husseini, S., Keyvanshokooh, E., Alborzi, F., Investigating replenishment policies for centralised and decentralised supply chains using stochastic programming approach. Int. J. Prod. Res. 53:1 (2015), 41–69.
21. Fontaine, M.J., Chung, Y.T., Erhun, F., Goodnough, L.T., Age of blood as a limitation for transfusion: potential impact on blood inventory and availability. Transfusion 50:10 (2010), 2233–2239.
22. Friedman, B., Abbott, R., Williams, G., A blood ordering strategy for hospital blood banks derived from a computer simulation. Am. J. Clin. Pathol. 78:2 (1982), 154–160.
23. Godin, G., Conner, M., Sheeran, P., Bélanger-Gravel, A., Germain, M., Determinants of repeated blood donation among new and experienced blood donors. Transfusion 47:9 (2007), 1607–1615.
24. Gunpinar, S., Centeno, G., Stochastic integer programming models for reducing wastages and shortages of blood products at hospitals. Comput. Oper. Res. 54 (2015), 129–141.
25. Haijema, R., van der Wal, J., van Dijk, N.M., Blood platelet production: optimization by dynamic programming and simulation. Comput. Oper. Res. 34:3 (2007), 760–779.
26. Heddle, N.M., Liu, Y., Barty, R., Webert, K.E., Whittaker, S., Gagliardi, K., Lauzon, D., Owens, W., Factors affecting the frequency of red blood cell outdates: an approach to establish benchmarking targets. Transfusion 49:2 (2009), 219–226.
27. Hemmelmayr, V., Doerner, K.F., Hartl, R.F., Savelsbergh, M.W., Delivery strategies for blood products supplies. OR Spectr. 31:4 (2009), 707–725.
28. Hemmelmayr, V., Doerner, K.F., Hartl, R.F., Savelsbergh, M.W., Vendor managed inventory for environments with stochastic product usage. Eur. J. Oper. Res. 202:3 (2010), 686–695.
29. Hosseinifard, Z., Abbasi, B., The inventory centralization impacts on sustainability of the blood supply chain. Comput. Oper. Res., 2016.
30. IBM Corporation, 2014. IBM CPLEX Version 12.6 User Manual. Last access: 19/01/2017. URL: 〈 www.ibm.com/software/commerce/optimization/cplex-optimizer/〉.
31. Jacobs, D.A., Silan, M.N., Clemson, B.A., An analysis of alternative locations and service areas of american red cross blood facilities. Interfaces 26:3 (1996), 40–50.
32. Jennings, J.B., An analysis of hospital blood bank whole blood inventory control policies. Transfusion 8:6 (1968), 335–342.
33. Karaesmen, I.Z., Scheller-Wolf, A., Deniz, B., 2011. Managing perishable and aging inventories: review and future research directions. In: Planning Production and Inventories in the Extended Enterprise. Springer, pp. 393–436.
34. Kaspi, H., Perry, D., Inventory systems of perishable commodities. Adv. Appl. Probab., 1983, 674–685.
35. Katsaliaki, K., Brailsford, S.C., Using simulation to improve the blood supply chain. J. Oper. Res. Soc., 2007, 219–227.
36. Katsaliaki, K., Mustafee, N., Kumar, S., A game-based approach towards facilitating decision making for perishable products: an example of blood supply chain. Expert Syst. Appl. 41:9 (2014), 4043–4059.
37. Kaut, M., Wallace, S. W., 2003. Evaluation of Scenario-generation Methods for Stochastic Programming.
38. Kim, G., Wu, K., Huang, E., Optimal inventory control in a multi-period newsvendor problem with non-stationary demand. Adv. Eng. Inform. 29:1 (2015), 139–145.
39. Kopach, R., Balcıoğlu, B., Carter, M., Tutorial on constructing a red blood cell inventory management system with two demand rates. Eur. J. Oper. Res. 185:3 (2008), 1051–1059.
40. Nagurney, A., Masoumi, A.H., Yu, M., Supply chain network operations management of a blood banking system with cost and risk minimization. Comput. Manag. Sci. 9:2 (2012), 205–231.
41. Nahmias, S., Perishable Inventory Systems. 160, 2011, Springer Science & Business Media, New York.
42. National Blood Authority, 2013. Managing blood and blood product inventory: guidelines for australian health providers. Tech. Rep.
43. Osorio, A.F., Brailsford, S.C., Smith, H.K., A structured review of quantitative models in the blood supply chain: a taxonomic framework for decision-making. Int. J. Prod. Res. 53:24 (2015), 7191–7212.
44. Pauls-Worm, K.G., Hendrix, E.M., Haijema, R., van der Vorst, J.G., An milp approximation for ordering perishable products with non-stationary demand and service level constraints. Int. J. Prod. Econ. 157 (2014), 133–146.
45. Pegels, C.C., Jelmert, A.E., An evaluation of blood-inventory policies: a Markov chain application. Oper. Res. 18:6 (1970), 1087–1098.
46. Perry, D., Posner, M., Control of input and demand rates in inventory systems of perishable commodities. Nav. Res. Logist. (NRL) 37:1 (1990), 85–97.
47. Pink, J., Thomson, A., Wylie, B., Inventory management in sydney public hospital blood banks. Transfus. Med. 4:3 (1994), 237–242.
48. Prastacos, G.P., Blood inventory management: an overview of theory and practice. Manag. Sci. 30:7 (1984), 777–800.
49. Rao, U.S., Properties of the periodic review (r,t) inventory control policy for stationary, stochastic demand. Manuf. Serv. Oper. Manag. 5:1 (2003), 37–53.
50. Rytilä, J.S., Spens, K.M., Using simulation to increase efficiency in blood supply chains. Manag. Res. News 29:12 (2006), 801–819.
51. Şahin, G., Süral, H., Meral, S., Locational analysis for regionalization of turkish red crescent blood services. Comput. Oper. Res. 34:3 (2007), 692–704.
52. Schreiber, G.B., Sharma, U., Wright, D., Glynn, S., Ownby, H., Tu, Y., Garratty, G., Piliavin, J., Zuck, T., Gilcher, R., First year donation patterns predict long-term commitment for first-time donors. Vox Sang. 88:2 (2005), 114–121.
53. Silva Filho, O.S., Carvalho, M.A., Cezarino, W., Da Silva, R.S., Salviano, G.R., 2013. Demand forecasting for blood components distribution of a blood supply chain. In: Management and Control of Production and Logistics, vol. 6. pp. 565–571.
54. Solyalı, O., Cordeau, J.-F., Laporte, G., The impact of modeling on robust inventory management under demand uncertainty. Manag. Sci., 2015.
55. Soysal, M., Bloemhof-Ruwaard, J.M., Haijema, R., van der Vorst, J.G., Modeling an inventory routing problem for perishable products with environmental considerations and demand uncertainty. Int. J. Prod. Econ. 164 (2015), 118–133.
56. Stanger, S.H., Wilding, R., Yates, N., Cotton, S., What drives perishable inventory management performance? Lessons learnt from the UK blood supply chain. Supply Chain Manag.: Int. J. 17:2 (2012), 107–123.
57. World Health Organization, 2001. Developing a national policy and guidelines on the clinical use of blood. Tech. Rep.
58. Zhou, D., Leung, L.C., Pierskalla, W.P., Inventory management of platelets in hospitals: optimal inventory policy for perishable products with regular and optional expedited replenishments. Manuf. Serv. Oper. Manag. 13:4 (2011), 420–438.