Multicriteria Course Mode Selection and Classroom Assignment Under Sudden Space Scarcity

Published Online:https://doi.org/10.1287/msom.2022.1131

References

  • Antunes CH, Alves MJ, Clímaco J (2016) Multiobjective Linear and Integer Programming (Springer, Berlin).CrossrefGoogle Scholar
  • Barnhart C, Bertsimas D, Delarue A, Yan J (2022) Course scheduling under sudden scarcity: Applications to pandemic planning. Manufacturing Service Oper. Management 24(2):727–745.LinkGoogle Scholar
  • Carter MW, Tovey CA (1992) When is the classroom assignment problem hard? Oper. Res. 40(1 suppl 1):S28–S39.Google Scholar
  • Chen G, Fei X, Jia H, Yu X, Shen S (2020) An optimization-and-simulation framework for redesigning university campus bus system with social distancing. Preprint, submitted October 20, https://arxiv.org/abs/2010.10630v1.Google Scholar
  • Dächert K, Klamroth K (2015) A linear bound on the number of scalarizations needed to solve discrete tricriteria optimization problems. J. Global Optim. 61(4):643–676.CrossrefGoogle Scholar
  • de Oliveira PM, Mesquita LC, Gkantonas S, Giusti A, Mastorakos E (2021) Evolution of spray and aerosol from respiratory releases: Theoretical estimates for insight on viral transmission. Proc. Roy. Soc. London A 477(2245):20200584.Google Scholar
  • Dong E, Du H, Gardner L (2020) An interactive web-based dashboard to track COVID-19 in real time. Lancet Infectious Diseases 20(5):533–534.CrossrefGoogle Scholar
  • Doug L (2020) Low-income students top presidents’ COVID-19 worry list. Inside Higher Ed. (April 27), https://www.insidehighered.com/news/survey/presidents-biggest-covid-19-worries-low-income-students-and-colleges-financial-strain.Google Scholar
  • Freeman S, Eddy SL, McDonough M, Smith MK, Okoroafor N, Jordt H, Wenderoth MP (2014) Active learning increases student performance in science, engineering, and mathematics. Proc. Natl. Acad. Sci. USA 111(23):8410–8415.CrossrefGoogle Scholar
  • Glassey CR, Mizrach M (1986) A decision support system for assigning classes to rooms. Interfaces 16(5):92–100.LinkGoogle Scholar
  • Gorman MF (2021) Contextual complications in analytical modeling: When the problem is not the problem. INFORMS J. Appl. Analytics 51(4):245–261.LinkGoogle Scholar
  • Gosselin K, Truchon M (1986) Allocation of classrooms by linear programming. J. Oper. Res. Soc. 37(6):561–569.CrossrefGoogle Scholar
  • Gressman PT, Peck JR (2020) Simulating COVID-19 in a university environment. Math. Biosciences 328(2020):108436.Google Scholar
  • Gurobi Optimization, LLC (2021) Gurobi Optimizer Reference Manual. Accessed June 1, 2020, https://www.gurobi.com.Google Scholar
  • Kostuch P (2004) The university course timetabling problem with a three-phase approach. Nugent R, ed. Internat. Conf. Practice Theory Automated Timetabling (Springer, Berlin), 109–125.Google Scholar
  • Lach G, Lübbecke ME (2008) Optimal university course timetables and the partial transversal polytope. Nugent R, ed. Internat. Workshop Experiment. Efficient Algorithms (Springer, Berlin), 235–248.Google Scholar
  • Lederman D (2020) Trying to make sense of a fluid fall. Inside Higher Ed. (June 24), https://www.insidehighered.com/digital-learning/article/2020/06/24/simulations-college-classrooms-fall-dont-bode-well.Google Scholar
  • Lopman B, Liu CY, Le Guillou A, Handel A, Lash TL, Isakov AP, Jenness SM (2021) A modeling study to inform screening and testing interventions for the control of SARS-CoV-2 on university campuses. Sci. Rep. 11(1):5900.CrossrefGoogle Scholar
  • Mulvey JM (1982) A classroom/time assignment model. Eur. J. Oper. Res. 9(1):64–70.CrossrefGoogle Scholar
  • National Center for Education Statistics (2016) The NCES fast facts tool provides quick answers to many education questions. Accessed August 1, 2020, https://nces.ed.gov/fastfacts/dailyarchive.asp.Google Scholar
  • Pardalos PM, Žilinskas A, Žilinskas J (2017) Non-Convex Multi-Objective Optimization (Springer, Berlin).CrossrefGoogle Scholar
  • Phillips AE, Waterer H, Ehrgott M, Ryan DM (2015) Integer programming methods for large-scale practical classroom assignment problems. Comput. Oper. Res. 53(2015):42–53.CrossrefGoogle Scholar
  • Przybylski A, Gandibleux X (2017) Multi-objective branch and bound. Eur. J. Oper. Res. 260(3):856–872.CrossrefGoogle Scholar
  • Rogers V (2020) Campus leaders share plan to return to campus. Georgia Tech News Center (June 17), https://news.gatech.edu/2020/06/17/campus-leaders-share-plan-return-campus.Google Scholar
  • Savage MP, Fischman DL, Mamas MA (2020) Social intervention by the numbers: Evidence behind the specific public health guidelines in the COVID-19 pandemic. Population Health Management 24(3):299–303.CrossrefGoogle Scholar
  • Steimle L, Sun Y, Johnson L, Besedeš T, Mokhtarian P, Nazzal D (2022) Students’ preferences for returning to colleges and universities during the COVID-19 pandemic: A discrete choice experiment. Socio-Economic Planning Sci. 82(B):101266.CrossrefGoogle Scholar
  • Ueda H, Ouchi D, Takahashi K, Miyahara T (2000) A co-evolving timeslot/room assignment genetic algorithm technique for university timetabling. Internat. Conf. Practice Theory Automated Timetabling (Springer, Berlin), 48–63.Google Scholar
  • Waterer H (1995) A zero-one integer programming model for room assignment at the University of Auckland. Mayes K, Chair/ed. Proc. Oper. Res. Soc. New Zealand, 31st Annual Conf. (Operational Research Society of New Zealand, Wellington, New Zealand), 63–70.Google Scholar
  • Weeden KA, Cornwell B (2020) The small-world network of college classes: Implications for epidemic spread on a university campus. Sociol. Sci. 7(9):222–241.CrossrefGoogle Scholar
  • Zhang W, Reimann M (2014) A simple augmented-constraint method for multi-objective mathematical integer programming problems. Eur. J. Oper. Res. 234(1):15–24.CrossrefGoogle Scholar
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