Optimal Pooling, Batching, and Pasteurizing of Donor Human Milk

Published Online:https://doi.org/10.1287/serv.2021.0285

References

  • Allahverdi A, Gupta JN, Aldowaisan T (1999) A review of scheduling research involving setup considerations. Omega 27(2):219–239.CrossrefGoogle Scholar
  • American Academy of Pediatrics (2012) AAP reaffirms breastfeeding guidelines. Accessed February 7, 2020, https://www.aap.org/en-us/about-the-aap/aap-press-room/Pages/AAP-Reaffirms-Breastfeeding-Guidelines.aspx.Google Scholar
  • American Red Cross (2014) Infectious disease testing. Accessed February 7, 2020, https://www.redcrossblood.org/biomedical-services/blood-diagnostic-testing/blood-testing.html.Google Scholar
  • Ashayeri J, van Eijs AGM, Nederstigt P (1994) Blending modelling in a process manufacturing: A case study. Eur. J. Oper. Res. 72(3):460–468.CrossrefGoogle Scholar
  • Aylward GP, Pfeiffer SI, Wright A, Verhulst SJ (1989) Outcome studies of low birth weight infants published in the last decade: A metaanalysis. J. Pediatrics 115(4):515–520.CrossrefGoogle Scholar
  • Ballard O, Morrow AL (2013) Human milk composition: Nutrients and bioactive factors. Pediatrics Clinical North Amer. 60(1):49–74.CrossrefGoogle Scholar
  • Bar-Lev SK, Boxma O, Mathijsen B, Perry D (2017) A blood bank model with perishable blood and demand impatience. Stochastic Systems 7(2):237–263.LinkGoogle Scholar
  • Boppana RV, Chalasani S (2007) Analytical models to determine desirable blood acquisition rates. Proc. IEEE Internat. Conf. on System of Systems Engineering (IEEE, New York), 1–6.Google Scholar
  • Cao W, Çelik M, Ergun Ö, Swann J, Viljoen N (2016) Challenges in service network expansion: An application in donated breastmilk banking in South Africa. Socio-Econom. Planning Sci. 53:33–48.CrossrefGoogle Scholar
  • Cetin E, Sarul LS (2009) A blood bank location model: A multiobjective approach. Eur. J. Pure Appl. Math. 2(1):112–124.Google Scholar
  • Charnes A, Cooper WW, Mellon B (1952) Blending aviation gasolines: A study in programming interdependent activities in an integrated oil company. Econometrica 20(2):135–159.CrossrefGoogle Scholar
  • Cohen MA, Pierskalla WP (1975) Management policies for a regional blood bank. Transfusion 15(1):58–67.CrossrefGoogle Scholar
  • Cohen MA, Pierskalla WP (1979) Target inventory levels for a hospital blood bank or a decentralized regional blood banking system. Transfusion 19(4):444–454.CrossrefGoogle Scholar
  • Cristofalo EA, Schanler RJ, Blanco CL, Sullivan S, Trawoeger R, Kiechl-Kohlendorfer U, Dudell G, et al. (2013) Randomized trial of exclusive human milk vs. preterm formula diets in extremely premature infants. J. Pediatrics 163(6):1592–1595.CrossrefGoogle Scholar
  • Dantzig GB (1963) Linear Programming and Extensions (Princeton University Press, Princeton, NJ).CrossrefGoogle Scholar
  • De Kock H, Sinclair M (1987) Multi-mix feedstock problems on microcomputers. J. Oper. Res. Soc. 38(7):585–590.CrossrefGoogle Scholar
  • DeWitt CW, Lasdon LS, Waren AD, Brenner DA, Melhem SA (1989) OMEGA: An improved gasoline blending system for Texaco. Interfaces 19(1):85–101.LinkGoogle Scholar
  • Dobson G, Karmarkar US, Rummel JL (1987) Batching to minimize flow times on one machine. Management Sci. 33(6):784–799.LinkGoogle Scholar
  • Dobson G, Karmarkar US, Rummel JL (1989) Batching to minimize flow times on parallel heterogeneous machines. Management Sci. 35(5):607–613.LinkGoogle Scholar
  • Dutta S, Singh B, Chessell L, Wilson J, Janes M, McDonald K, Shahid S, et al. (2015) Guidelines for feeding very low birth weight infants. Nutrients 7(1):423–442.CrossrefGoogle Scholar
  • Ehrgott M (2005) Multicriteria Optimization, 2nd ed. (Springer-Verlag, Berlin).Google Scholar
  • Fabian T (1958) A linear programming model of integrated iron and steel production. Management Sci. 4(4):415–449.LinkGoogle Scholar
  • Fishburn PC (1974) Lexicographic orders, utilities and decision rules: A survey. Management Sci. 20(11):1442–1471.LinkGoogle Scholar
  • Gatti L (2008) Maternal perceptions of insufficient milk supply in breastfeeding. J. Nursing Scholarship 40(4):355–363.CrossrefGoogle Scholar
  • Ghandforoush P, Sen TK (2010) A DSS to manage platelet production supply chain for regional blood centers. Decision Support Systems 50(1):32–42.CrossrefGoogle Scholar
  • Glen JJ (1988) A mixed integer programming model for fertiliser policy evaluation. Eur. J. Oper. Res. 35(2):165–171.CrossrefGoogle Scholar
  • Gupte A, Ahmed S, Dey SS, Cheon MS (2017) Relaxations and discretizations for the pooling problem. J. Global Optim. 67(3):631–669.CrossrefGoogle Scholar
  • Hall NG, Potts CN (2003) Supply chain scheduling: Batching and delivery. Oper. Res. 51(4):566–584.LinkGoogle Scholar
  • HMBANA (2020) Donor human milk distribution increases by nearly 1 million ounces. Accessed December 10, 2020, https://www.hmbana.org/news/donor-human-milk-increases-by-nearly-1-million-ounces.html.Google Scholar
  • Hwang CL, Masud ASM (2012) Multiple Objective Decision Making—Methods and Applications: A State-of-the-Art Survey, vol. 164 (Springer Science & Business Media, New York).Google Scholar
  • Jacobs DA, Silan MN, Clemson BA (1996) An analysis of alternative locations and service areas of American Red Cross blood facilities. Interfaces 26(3):40–50.LinkGoogle Scholar
  • Jennings JB (1973) Blood bank inventory control. Management Sci. 19(6):637–645.LinkGoogle Scholar
  • Jia Z, Ierapetritou M (2003) Mixed-integer linear programming model for gasoline blending and distribution scheduling. Industry Engrg. Chemical Res. 42(4):825–835.CrossrefGoogle Scholar
  • Jordan C (2012) Batching and Scheduling: Models and Methods for Several Problem Classes, vol. 437 (Springer Science & Business Media, New York).Google Scholar
  • Karaesmen IZ, Scheller-Wolf A, Deniz B (2011) Managing perishable and aging inventories: Review and future research directions. Planning Production and Inventories in the Extended Enterprise (Springer, Berlin), 393–436.CrossrefGoogle Scholar
  • Katsaliaki K, Brailsford SC (2007) Using simulation to improve the blood supply chain. J. Oper. Res. Soc. 58(2):219–227.CrossrefGoogle Scholar
  • Kramer MS, Guo T, Platt RW, Sevkovskaya Z, Dzikovich I, Collet JP, Shapiro S, et al. (2003) Infant growth and health outcomes associated with 3 compared with 6 mo of exclusive breastfeeding. Amer. J. Clinical Nutrition 78(2):291–295.CrossrefGoogle Scholar
  • Lawn JE, Davidge R, Paul VK, Xylander SV, de Graft Johnson J, Costello A, Kinney MV, et al (2013) Born too soon: Care for the preterm baby. Reproductive Health 10(1):S5.CrossrefGoogle Scholar
  • Magoulas K, Marinos-Kouris D, Lygeros A (1988) Actual blending linear-programming model is developed. Oil Gas J. 86(29):44–48.Google Scholar
  • Marinelli K, Anderson A (2011) When a mother donates her milk in grief. HMBANA Matters 8:6.Google Scholar
  • Marler RT, Arora JS (2004) Survey of multi-objective optimization methods for engineering. Structural Multidisciplinary Optim. 26(6):369–395.CrossrefGoogle Scholar
  • McCallie KR, Lee HC, Mayer O, Cohen RS, Hintz SR, Rhine WD(2011) Improved outcomes with a standardized feeding protocol for very low birth weight infants. J. Perinatology 31(S1):S61.CrossrefGoogle Scholar
  • Michaelsen KF, Skafte L, Badsberg JH, Jørgensen M (1990) Variation in macronutrients in human bank milk: Influencing factors and implications for human milk banking. J. Pediatric Gastroenterology Nutrition 11(2):229–239.CrossrefGoogle Scholar
  • Mothers’ Milk Bank of North Texas (2018) 2017 in review. Accessed February 3, 2020, https://texasbreastfeeding.org/blog/2018/02/2017-review.Google Scholar
  • Mothers’ Milk Bank of North Texas (2019) 2018 in review. Accessed February 3, 2020, https://texasbreastfeeding.org/blog/2019/01/2018-review.Google Scholar
  • Munford AG (1989) A microcomputer system for formulating animal diets which may involve liquid raw materials. Eur. J. Oper. Res. 41(3):270–276.CrossrefGoogle Scholar
  • Mustafee N, Taylor SJ, Katsaliaki K, Brailsford S (2009) Facilitating the analysis of a UK national blood service supply chain using distributed simulation. Simulation 85(2):113–128.CrossrefGoogle Scholar
  • Nagurney A, Masoumi AH, Yu M (2012) Supply chain network operations management of a blood banking system with cost and risk minimization. Comput. Management Sci. 9(2):205–231.CrossrefGoogle Scholar
  • Osbaldiston R, Mingle LA (2007) Characterization of human milk donors. J. Human Lactation 23(4):350–357.CrossrefGoogle Scholar
  • Panigrahi P (2006) Necrotizing enterocolitis. Paediatric Drugs 8(3):151–165.CrossrefGoogle Scholar
  • Perrin MT (2018) Donor human milk and fortifier use in United States level 2, 3, and 4 neonatal care hospitals. J. Pediatric Gastroenterology Nutrition 66(4):664–669.CrossrefGoogle Scholar
  • Perrine CG, Scanlon KS (2013) Prevalence of use of human milk in US advanced care neonatal units. Pediatrics 131(6):1066–1071.CrossrefGoogle Scholar
  • Pierskalla WP (2005) Supply chain management of blood banks. Oper. Res. Health Care 70:103–145.CrossrefGoogle Scholar
  • Potts CN, Kovalyov MY (2000) Scheduling with batching: A review. Eur. J. Oper. Res. 120(2):228–249.CrossrefGoogle Scholar
  • Potts CN, Van Wassenhove LN (1992) Integrating scheduling with batching and lot-sizing: A review of algorithms and complexity. J. Oper. Res. Soc. 43(5):395–406.CrossrefGoogle Scholar
  • Prastacos GP (1984) Blood inventory management: An overview of theory and practice. Management Sci. 30(7):777–800.LinkGoogle Scholar
  • Rong A, Lahdelma R (2008) Fuzzy chance constrained linear programming model for optimizing the scrap charge in steel production. Eur. J. Oper. Res. 186(3):953–964.CrossrefGoogle Scholar
  • Rytilä JS, Spens KM (2006) Using simulation to increase efficiency in blood supply chains. Management Res. News 29(12):801–819.CrossrefGoogle Scholar
  • Şahin G, Süral H, Meral S (2007) Locational analysis for regionalization of Turkish Red Crescent blood services. Comput. Oper. Res. 34(3):692–704.CrossrefGoogle Scholar
  • Sakalli US, Birgoren B (2009) A spreadsheet-based decision support tool for blending problems in brass casting industry. Comput. Industry Engrg. 56(2):724–735.CrossrefGoogle Scholar
  • Sivakumar P, Ganesh K, Parthiban P (2008) Multi-phase composite analytical model for integrated allocation-routing problem–application of blood bank logistics. Internat. J. Logist. Econom. Globalisation 1(3-4):251–281.CrossrefGoogle Scholar
  • The Academy of Breastfeeding Medicine Protocol Committee (2010) ABM clinical protocol #8: Human milk storage information for home use for full-term infants (original protocol March 2004; revision #March 1, 2010). Breastfeeding Medicine 5(3):127–130.CrossrefGoogle Scholar
  • Valentine CJ, Morrow G, Fernandez S, Gulati P, Bartholomew D, Long D, Welty SE, et al. (2010) Docosahexaenoic acid and amino acid contents in pasteurized donor milk are low for preterm infants. J. Pediatrics 157(6):906–910.CrossrefGoogle Scholar
  • Waltz F (1967) An engineering approach: Hierarchical optimization criteria. IEEE Trans. Automated Control 12(2):179–180.CrossrefGoogle Scholar
  • Webster S, Baker KR (1995) Scheduling groups of jobs on a single machine. Oper. Res. 43(4):692–703.LinkGoogle Scholar
  • Wilson E, Willis R (1985) Microcomputers and linear programming: Feedstock revisited. Eur. J. Oper. Res. 19(3):297–304.CrossrefGoogle Scholar
  • World Health Organization (2018) Infant and young child feeding. Accessed February 3, 2020, https://www.who.int/news-room/fact-sheets/detail/infant-and-young-child-feeding.Google Scholar
  • World Health Organization and UNICEF (1989) Protecting, Promoting and Supporting Breast-Feeding: The Special Role of Maternity Services (World Health Organization, Geneva).Google Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.