An efficient solution method for the flexible and robust inventory-routing of red blood cells

Computers and Industrial Engineering

Volumn 117, Issue , 2018, Pages 191-206

  Jafarkhan, Fatemeh ^a   Yaghoubi, Saeed ^b  

^a Institute of Management and Planning Researches   (Iran)

^b IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

Efficient solution method; Flexibility; Inventory routing problem; Robust optimization; Substitution; Transshipment

Indexed keywords

BENCHMARKING; CELLS; OPTIMIZATION; SENSITIVITY ANALYSIS; SUBSTITUTION REACTIONS;

FLEXIBILITY; INVENTORY ROUTING PROBLEMS; ROBUST OPTIMIZATION; SOLUTION METHODS; TRANSSHIPMENT;

BLOOD;

EID: 85041463316     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cie.2018.01.029     Document Type: Article

References (49)

1. Abdulwahab, U., Wahab, M.I.M., Approximate dynamic programming modeling for a typical blood platelet bank. Computers & Industrial Engineering 78 (2014), 259–270.
2. Aksen, D., Kaya, O., Salman, F.S., Tüncel, Ö., An adaptive large neighborhood search algorithm for a selective and periodic inventory routing problem. European Journal of Operational Research 239:2 (2014), 413–426.
3. Archetti, C., Bertazzi, L., Hertz, A., Speranza, M.G., A hybrid heuristic for an inventory routing problem. INFORMS Journal on Computing 24:1 (2012), 101–116.
4. Archetti, C., Bertazzi, L., Laporte, G., Speranza, M.G., A branch-and-cut algorithm for a vendor-managed inventory-routing problem. Transportation Science 41:3 (2007), 382–391.
5. Arvan, M., Tavakkoli-Moghaddam, R., Abdollahi, M., Designing a bi-objective and multi-product supply chain network for the supply of blood. Uncertain Supply Chain Management 3:1 (2015), 57–68.
6. Beliën, J., Forcé H., Supply chain management of blood products: A literature review. European Journal of Operational Research 217:1 (2012), 1–16.
7. Bertsimas, D., Sim, M., Robust discrete optimization and network flows. Mathematical Programming 98:1–3 (2003), 49–71.
8. Bertsimas, D., Sim, M., The price of robustness. Operations Research 52:1 (2004), 35–53.
9. Brodheim, E., Derman, C., Prastacos, G., On the evaluation of a class of inventory policies for perishable products such as blood. Management Science 21:11 (1975), 1320–1325.
10. Civelek, I., Karaesmen, I., Scheller-Wolf, A., Blood platelet inventory management with protection levels. European Journal of Operational Research 243:3 (2015), 826–838.
11. Coelho, L.C., Cordeau, J.F., Laporte, G., The inventory-routing problem with transshipment. Computers & Operations Research 39:11 (2012), 2537–2548.
12. Denesiuk, L., Richardson, T., Nahirniak, S., Clarke, G., Implementation of a redistribution system for near-outdate red blood cell units. Archives of Pathology & Laboratory Medicine 130:8 (2006), 1178–1183.
13. Dillon, M., Oliveira, F., Abbasi, B., A two-stage stochastic programming model for inventory management in the blood supply chain. International Journal of Production Economics 187 (2017), 27–41.
14. Duan, Q., Liao, T.W., A new age-based replenishment policy for supply chain inventory optimization of highly perishable products. International Journal of Production Economics 145:2 (2013), 658–671.
15. Duan, Q., Liao, T.W., Optimization of blood supply chain with shortened shelf lives and ABO compatibility. International Journal of Production Economics 153 (2014), 113–129.
16. Dumas, M.B., Rabinowitz, M., Policies for reducing blood wastage in hospital blood banks. Management Science 23:10 (1977), 1124–1132.
17. Elston, R.C., Pickrel, J.C., A statistical approach to ordering and usage policies for a hospital blood bank. Transfusion 3:1 (1963), 41–47.
18. Ensafian, H., Yaghoubi, S., Robust optimization model for integrated procurement, production and distribution in platelet supply chain. Transportation Research Part E: Logistics and Transportation Review 103 (2017), 32–55.
19. Ensafian, H., Yaghoubi, S., Yazdi, M.M., Raising quality and safety of platelet transfusion services in a patient-based integrated supply chain under uncertainty. Computers & Chemical Engineering 106 (2017), 355–372.
20. Federgruen, A., Prastacos, G., Zipkin, P.H., An allocation and distribution model for perishable products. Operations Research 34:1 (1986), 75–82.
21. Gregor, P.J., Forthofer, R.N., Kapadia, A.S., An evaluation of inventory and transportation policies of a regional blood distribution system. European Journal of Operational Research 10:1 (1982), 106–113.
22. Gunpinar, S., Centeno, G., Stochastic integer programming models for reducing wastages and shortages of blood products at hospitals. Computers & Operations Research 54 (2015), 129–141.
23. Hemmelmayr, V., Doerner, K.F., Hartl, R.F., Savelsbergh, M.W., Delivery strategies for blood products supplies. OR Spectrum 31:4 (2009), 707–725.
24. Hemmelmayr, V., Doerner, K.F., Hartl, R.F., Savelsbergh, M.W., Vendor managed inventory for environments with stochastic product usage. European Journal of Operational Research 202:3 (2010), 686–695.
25. Huang, S.H., Lin, P.C., A modified ant colony optimization algorithm for multi-item inventory routing problems with demand uncertainty. Transportation Research Part E: Logistics and Transportation Review 46:5 (2010), 598–611.
26. Jafarkhan, F., Yaghoubi, S., A robust mathematical model and heuristic solution algorithm for integrated production-routing-inventory problem of perishable products with lateral transshipment. Journal of Industrial Engineering Research in Production Systems 4:8 (2017), 195–211.
27. Kaveh, A., Ghobadi, M., A multistage algorithm for blood banking supply chain allocation problem. International Journal of Civil Engineering 15:1 (2017), 103–112.
28. Lalmazloumian, M., Wong, K.Y., Govindan, K., Kannan, D., A robust optimization model for agile and build-to-order supply chain planning under uncertainties. Annals of Operations Research, 2013, 1–36.
29. Lang, J.C., Blood bank inventory control with transshipments and substitutions. Production and inventory management with substitutions, 2010, Springer, Berlin Heidelberg, 205–226.
30. Leandro-Coelho, 2016. < http://www.leandro-coelho.com/instances/thesis/irpt/> Accessed June, 2016.
31. Lefever, W., Hadj-Hamou, K., & Aghezzaf, E. H (2015). Robust inventory routing problem with variable travel times. In 16ème Congrès Annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2015).
32. Li, M., Wang, Z., Chan, F.T., A robust inventory routing policy under inventory inaccuracy and replenishment lead-time. Transportation Research Part E: Logistics and Transportation Review 91 (2016), 290–305.
33. Lowalekar, H., Ravichandran, N., Blood bank inventory management in India. Opsearch 51:3 (2014), 376–399.
34. Mobasher, A., Ekici, A., Özener, O.Ö Coordinating collection and appointment scheduling operations at the blood donation sites. Computers & Industrial Engineering 87 (2015), 260–266.
35. Mulvey, J.M., Ruszczyński, A., A new scenario decomposition method for large-scale stochastic optimization. Operations Research 43:3 (1995), 477–490.
36. Notebook Check1 (2016). < http://www.notebookcheck.com/Intel-Core-i5-4200U-Notebook-Prozessor.93517.0.html> Accessed June, 2016.
37. Notebook Check2 (2016). < http://www.notebookcheck.com/Intel-Core-2-Duo-T7700-Notebook-Prozessor.32094.0.html> Accessed June, 2016.
38. 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. International Journal of Production Research 53:24 (2015), 7191–7212.
39. Pegels, C.C., Jelmert, A.E., An evaluation of blood-inventory policies: A Markov chain application. Operations Research 18:6 (1970), 1087–1098.
40. Prastacos, G.P., Blood inventory management: An overview of theory and practice. Management Science 30:7 (1984), 777–800.
41. Rabbani, M., Aghabegloo, M., Farrokhi-Asl, H., Solving a bi-objective mathematical programming model for bloodmobiles location routing problem. International Journal of Industrial Engineering Computations 8:1 (2017), 19–32.
42. Sapountzis, C., Allocating blood to hospitals from a central blood bank. European Journal of Operational Research 16:2 (1984), 157–162.
43. Silva Filho, O.S., Carvalho, M.A., Cezarino, W., Silva, R., Salviano, G., Demand forecasting for blood components distribution of a blood supply chain. IFAC Proceedings Volumes 46:24 (2013), 565–571.
44. Sivakumar, P., Ganesh, K., Parthiban, P., Multi-phase composite analytical model for integrated allocation-routing problem-application of blood bank logistics. International Journal of Logistics Economics and Globalisation 1:3–4 (2008), 251–281.
45. Sokol, C. Z. G. N. J., & Papageorgiou, M. S. C. D (2015). Robust inventory routing with flexible time window allocation. Working paper.
46. Solyali, O., Cordeau, J.F., Laporte, G., Robust inventory routing under demand uncertainty. Transportation Science 46:3 (2012), 327–340.
47. Wang, K.M., Ma, Z.J., Age-based policy for blood transshipment during blood shortage. Transportation Research Part E: Logistics and Transportation Review 80 (2015), 166–183.
48. Yu, C.S., Li, H.L., A robust optimization model for stochastic logistic problems. International Journal of Production Economics 64:1 (2000), 385–397.
49. Zahiri, B., Pishvaee, M.S., Blood supply chain network design considering blood group compatibility under uncertainty. International Journal of Production Research 55:7 (2017), 2013–2033.