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A Blood Bank Network Design Problem with Integrated Facility Location, Inventory and Routing Decisions

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Abstract

We aim to design an effective supply chain network for a blood distribution system to satisfy the needs of hospitals in a certain region. In the analyzed current system, each hospital keeps a certain level of inventory, received at certain time periods by the shipments from a main blood bank. We propose an alternative system, in which some of the hospitals are selected as local blood banks (LBB) and all other hospitals will be assigned to an LBB. More frequent shipments will be made from LBBs to these hospitals, leading to lower inventory levels to be kept at each hospital. The inventories kept separately at the hospitals in the current system will be pooled at the selected LBBs in the proposed system. We develop a mixed integer nonlinear programming (MINLP) model to determine the optimal selection of LBBs, assignment of hospitals to LBBs, optimal inventory levels at each LBB and routing decisions among the facilities in order to minimize total system costs. We also propose a piecewise linear approximation method and a simulated annealing heuristic approach to find the solution of this problem. The proposed model and the solution techniques are applied on a real life case study for the blood distribution network in Istanbul. It is observed that significant improvements can be obtained by the proposed system when compared to the current design. Performances of the solution methods are also compared and a sensitivity analysis related to system parameters is presented via detailed numerical experiments.

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References

  • Ahmadi Javid A, Azad N (2010) Incorporating location, routing and inventory decisions in supply chain network design. Transp Res Part E: Logist Transp Rev 46(5):582–597

    Google Scholar 

  • Aksen D, Kaya O, Salman FS, Akca Y (2012) Selective and periodic inventory routing problem for waste vegetable oil collection. Optim Lett 6:1063–1080

    Google Scholar 

  • Aksen D, Kaya O, Salman FS, Tuncel O (2014) An adaptive large neighborhood search algorithm for a selective and periodic inventory routing problem. Eur J Oper Res 239:413–426

    Google Scholar 

  • Anily S, Bramer J (2004) A probabilistic analysis of a fixed partition policy for the inventory-routing problem. Nav Res Logist 51(7):925–948

    Google Scholar 

  • Anily S, Federgruen A (1990) One warehouse multiple retailers systems with vehicle routing costs. Manag Sci 36(1):92–113

    Google Scholar 

  • Balakrishnan A, Ward JE, Wong RT (1987) Integrated facility location and vehicle routing models: recent work and future prospects. Am J Math Manag Sci 7(2):35–61

    Google Scholar 

  • Barahona F, Jensen D (1998) Plant location with minimum inventory. Math Program 83:101–111

    Google Scholar 

  • Belien J, Force H (2012) Supply chain management of blood products: a literature review. Eur J Oper Res 217(1):1–16. https://doi.org/10.1016/j.ejor.2011.05.026

    Google Scholar 

  • Bozkaya B, Yanık S, Balcisoy S (2010) A GIS-based optimization framework for competitive multi-facility location-routing problem. Netw Spat Econ 10(3):297–320

    Google Scholar 

  • Cetin E, Sarul L S (2009) Blood bank location model: a multiobjective approach. Eur J Pure Appl Math 2(1):112–114

    Google Scholar 

  • Coelho L C, Cordeau J-F, Laporte G (2013) Thirty years of inventory routing. Transp Sci 48(1):1–19

    Google Scholar 

  • Chu J C, Yan S, Huang H-J (2017) A multi-trip split-delivery vehicle routing problem with time windows for inventory replenishment under stochastic travel times. Netw Spat Econ 17(1):41–68

    Google Scholar 

  • Daskin M S, Coullard C, Shen Z-JM (2002) An inventory-location model: formulation, solution algorithm and computational results. Ann Oper Res 110:83–106

    Google Scholar 

  • DHHS (2013) The 2011 national blood collection and utilization survey report. Department of Health and Human Services, Washington, DC

    Google Scholar 

  • Diabat A, Battaia O, Nazzal D (2015) An improved Lagrangian relaxation-based heuristic for a joint location-inventory problem. Comput Oper Res 61:170–178

    Google Scholar 

  • Diz G S S, Hamacher S, Oliveira F (2018) A robust optimization model for the maritime inventory routing problem. Flex Serv Manuf J, available online

  • Erlebacher S J, Meller R D (2000) The interaction of location and inventory in designing distribution systems. IIE Trans 32:155–166

    Google Scholar 

  • Federgruen A, Zipkin P (1986) An allocation and distribution model for perishable products. Oper Res 34:75–82

    Google Scholar 

  • Guerrero W J, Prodhon C, Velasco N, Amaya C A (2013) Hybrid heuristic for the inventory location-routing problem with deterministic demand. Int J Prod Econ 146(1):359–370

    Google Scholar 

  • Guerrero W J, Prodhon C, Velasco N, Amaya C A (2015) A relax-and-price heuristic for the inventory-location-routing problem. Int Trans Oper Res 22(1):129–148

    Google Scholar 

  • Hemmelmayr V, Doerner K F, Hartl R F, Savelsbergh M W P (2009) Delivery strategies for blood products supplies. OR Spectrum 31(4):707–725. https://doi.org/10.1007/s00291-008-0134-7

    Google Scholar 

  • Hiassat A, Diabat A, Rahwan I (2017) A genetic algorithm approach for location-inventory-routing problem with perishable products. J Manuf Syst 42:93–103

    Google Scholar 

  • Hosseinifard Z, Abbasi B (2018) The inventory centralization impacts on sustainability of the blood supply chain. Comput Oper Res 89:206–212

    Google Scholar 

  • Karoonsoontawong A, Kobkiattawin O, Xie C (2019) Efficient insertion heuristic algorithms for multi-trip inventory routing problem with time windows, shift time limits and variable delivery time. Netw Spat Econ 19:331–379

    Google Scholar 

  • Katsaliaki K, Brailsford S C (2007) Using simulation to improve the blood supply chain. J Oper Res Soc 58(2):219–227

    Google Scholar 

  • Kaya O, Urek B (2016) A mixed integer nonlinear programming model and heuristic solutions for location, inventory and pricing decisions in a closed loop supply chain. Comput Oper Res 65:93–103

    Google Scholar 

  • Khalilpourazari S, Khamseh A A (2019) Bi-objective emergency blood supply chain network design in earthquake considering earthquake magnitude: a comprehensive study with real world application. Ann Oper Res 283(1–2):355–393

    Google Scholar 

  • Koc C (2019) Analysis of vehicle emissions in location-routing problem. Flex Serv Manuf J 31(1):1–33

    Google Scholar 

  • Mak H Y, Shen Z-J M (2009) A two-echelon inventory-location problem with service considerations. Nav Res Logist 56(8):730–744

    Google Scholar 

  • Miranda P A, Garrido R A (2004) Incorporating inventory control decisions into a strategic distribution network design model with stochastic demand. Transp Res Part E: Logist Transp Rev 40:183–207

    Google Scholar 

  • Miranda P A, Garrido R A (2006) A Simultaneous Inventory Control and Facility Location Model with Stochastic Capacity Constraints. Netw Spat Econ 6(1):39–53

    Google Scholar 

  • Moin N H, Salhi S (2007) Inventory routing problems: a logistical overview. J Oper Res Soc 58(9):1185–1194

    Google Scholar 

  • Nagurney A, Masoumi A H (2011) . In: Boone T, Jayaraman V, Ganeshan R (eds) Supply chain network design of a sustainable blood banking system in sustainable supply chains: models, methods and public policy implications. Springer, London

  • Nagurney A, Masoumi A H, Min Y (2012) Supply chain network operations management of a blood banking system with cost and risk minimization. Comput Manag Sci 9(2):205–231. https://doi.org/10.1007/s10287-011-0133-z

    Google Scholar 

  • Nagy G, Salhi S (2007) Location-routing: issues, models and methods. Eur J Oper Res 177(2):649–672

    Google Scholar 

  • Naseraldin H, Herer Y T (2011) A location-inventory model with lateral transshipments. Nav Res Logist 58(5):437–456

    Google Scholar 

  • Or I, Pierskalla W P (1979) A transportation location-allocation model for regional blood banking. AIIE Trans 11:86–95

    Google Scholar 

  • Osorio A F, Brailsford S C, Smith HK (2015) A structured review of quantitative models in the blood supply chain: a taxonomic framework for decision making. Int J Prod Res 53(24):7191–7212. https://doi.org/10.1080/00207543.2015.1005766

    Google Scholar 

  • Osorio A F, Brailsford S, Smith H, Blake J (2018) Designing the blood supply chain: How much, how and where? Vox Sang 113(8):760–769. https://doi.org/10.1111/vox.12706

    Google Scholar 

  • Prodhon C, Prins C (2014) A survey of recent research on location-routing problems. Eur J Oper Res 238(1):1–17

    Google Scholar 

  • Punyim P, Karoonsoontawong A, Unnikrishnan A, Xie C (2018) Tabu search heuristic for joint location-inventory problem with stochastic inventory capacity and practicality constraints. Netw Spat Econ 18(1):51–84

    Google Scholar 

  • Rafie-Majd Z, Pasandideh S H R, Naderi B (2018) Modelling and solving the integrated inventory-location-routing problem in a multi-period and multi-perishable product supply chain with uncertainty: Lagrangian relaxation algorithm. Comput Chem Eng 109:9–22

    Google Scholar 

  • Sahin G, Sural H, Meral S (2007) Locational Analysis for Regionalization of Turkish Red Crescent Blood Services. Comput Oper Res 34(3):692–704. https://doi.org/10.1016/j.cor.2005.03.020

    Google Scholar 

  • Sahinyazan F G, Kara B Y, Taner M R (2015) Selective vehicle routing for a mobile blood donation system. Eur J Oper Res 245:22–34

    Google Scholar 

  • Salhi S, Fraser M (1996) An integrated heuristic approach for the combined location vehicle feet mix problem. Stud Locat Anal 8:3–21

    Google Scholar 

  • Schneider M, Drexl M (2017) A survey of the standard location-routing problem. Ann Oper Res 259(1-2):389–414

    Google Scholar 

  • Schneider M, Loffler M (2019) Large composite neighborhoods for the capacitated location-routing problem. Transp Sci 53(1):301–318

    Google Scholar 

  • Shahabi M, Akbarinasaji S, Unnikrishnan A, James R (2013) Integrated inventory control and facility location decisions in a multi-echelon supply chain network with hubs. Netw Spat Econ 13(4):497–514

    Google Scholar 

  • Shen Z M J, Qi L (2007) Incorporating inventory and routing costs in strategic location models. Eur J Oper Res 179(2):372–389

    Google Scholar 

  • Shen Z M J, Coullard C, Daskin M S (2003) A joint location-inventory model. Transp Sci 37:40–55

    Google Scholar 

  • Shu J, Wang G, Zhang K (2013) Logistics distribution network design with two commodity categories. J Oper Res Soc 64(9):1400–1408

    Google Scholar 

  • Silva F, Gao L (2013) A joint replenishment inventory-location model. Netw Spat Econ 13(1):107–122

    Google Scholar 

  • Sourirajan K, Ozsen L, Uzsoy R (2007) A single product network design model with lead time and safety stock considerations. IIE Trans Sched Logist 39:411–424

    Google Scholar 

  • Toriello A, Nemhauser G, Savelsbergh M (2010) Decomposing inventory routing problems with approximate value functions. Nav Res Logist 57 (8):718–727

    Google Scholar 

  • Toyoglu H, Karasan O, Kara B Y (2012) A new formulation approach for location-routing problems. Netw Spat Econ 12(4):635–659

    Google Scholar 

  • Treitl S, Nolz P C, Jammernegg W (2014) Incorporating environmental aspects in an inventory routing problem. A case study from the petrochemical industry. Flex Serv Manuf J 26(1-2):143–169

    Google Scholar 

  • Tuzun D, Burke L I (1999) A two-phase tabu search approach to the location routing problem. Eur J Oper Res 166:87–99

    Google Scholar 

  • Wu T H, Low C, Bai J W (2002) Heuristic solutions to multi-depot location-routing problems. Comput Oper Res 29:1393–1415

    Google Scholar 

  • Yuchi Q, He Z, Yang Z, Wang N (2016) A Location-Inventory-Routing Problem in Forward and Reverse Logistics Network Design. Discret Dyn Nat Soc 2016:1–18

    Google Scholar 

  • Yuchi Q, Wang N, He Z, Chen H (2018) Hybrid heuristic for the location-inventory-routing problem in closed-loop supply chain. Int Trans Oper Res 2018:1–31

    Google Scholar 

  • Zhao Q-H, Wang S-Y, Lai K-K (2007) A partition approach to inventory-routing problem. Eur J Oper Res 177(2):786–802

    Google Scholar 

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Correspondence to Onur Kaya.

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Appendix

Appendix

Table 5 Mean daily demand values & locations of the hospitals and the main blood bank

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Kaya, O., Ozkok, D. A Blood Bank Network Design Problem with Integrated Facility Location, Inventory and Routing Decisions. Netw Spat Econ 20, 757–783 (2020). https://doi.org/10.1007/s11067-020-09500-x

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