Teaching Integer Programming Starting From an Energy Supply Game

Published Online:https://doi.org/10.1287/ited.2013.0105

References

  • Bakar A, Inal Y, Cagiltay K, Pearson E, Bohman P. Use of commercial games for educational purposes: Will today's teacher candidates use them in the future? Proc. World Conf. Ed. Multimedia, Hypermedia and Telecomm. (2006) (AACE, Chesapeake, VA) 1757–1762Google Scholar
  • Beliën J, Goossens D, Van Reeth D, De Boeck L. Using mixed integer programming to win a cycling game. INFORMS Trans. Ed. (2011) 11(3):93–99LinkGoogle Scholar
  • Bonwell CC, Eison JA. Active learning: Creating excitement in the classroom (ASHEERIC Higher Education Report 1). (1991) . George Washington University, Washington, DCGoogle Scholar
  • Breidthardt A. German government wants nuclear exit by 2022 at latest. (2011) . Reuters (May 30). Retrieved November 30, 2011, http://uk.reuters.com/article/2011/05/30/us-germany-nuclear-idUKTRE74Q2P120110530Google Scholar
  • Canz T. Fuzzy linear programming in DSS for energy system planning. Internat. J. Global Energy Issues (1999) 12(1–6):138–151CrossrefGoogle Scholar
  • Chlond MJ. Classroom exercises in IP modeling: Su doku and the log pile. INFORMS Trans. Ed. (2005) 5(2):77–79LinkGoogle Scholar
  • Chlond MJ. A magical IP. INFORMS Trans. Ed. (2009) 9(3):188–189LinkGoogle Scholar
  • Chlond MJ. Minesweeper puzzles. INFORMS Trans. Ed. (2011) 11(2):90–91LinkGoogle Scholar
  • Chlond MJ, Toase CM. IP modeling and the logical puzzles of Raymond Smullyan. INFORMS Trans. Ed. (2003) 3(3):1–12LinkGoogle Scholar
  • DePuy GW, Taylor DG. Using board puzzles to teach operations research. INFORMS Trans. Ed. (2007) 7(2):160–171LinkGoogle Scholar
  • Drake MJ, Griffin PM, Swann JL. Case article—Keeping logistics under wraps. INFORMS Trans. Ed. (2011) 11(2):57–62LinkGoogle Scholar
  • Energy Information Administration The national energy modeling system: An overview 2003 (Technical report). (2003) (U.S. Department of Energy, Office of Integrated Analysis and Forecasting, Washington, DC) Google Scholar
  • Federal Government Belgium Sluiting kerncentrales Doel 1 en Doel 2 en verlenging Tihange 1. (2012) . Retrieved March 7, 2013, http://www.premier.fgov.be/nl/sluiting-kerncentrales-doel-1-en-doel-2-en-verlenging-tihange-1Google Scholar
  • Griffin P. The use of classroom games in management science and operations research. INFORMS Trans. Ed. (2007) 8(1):1–2LinkGoogle Scholar
  • Grohnheit PE. Economic interpretation of the EFOM model. Energy Econom. (1991) 13(2):143–152CrossrefGoogle Scholar
  • International Atomic Energy AgencyCuba: A Country Profile on Sustainable Energy Development (2008) (IAEA, Vienna) Google Scholar
  • Jebaraj S, Iniyan S. An optimal energy allocation model using fuzzy linear programming for energy planning in India for the year 2020. Internat. J. Energy Tech. Policy (2007) 5(4):509–531CrossrefGoogle Scholar
  • Köksalan M, Batun S. Case—Assigning regions to sales representatives at Pfizer Turkey. INFORMS Trans. Ed. (2009) 9(2):72–76LinkGoogle Scholar
  • KU Leuven. MARKAL model. (2005) . Retrieved April 16, 2011, http://www.econ.kuleuven.be/ete/research/models/markal.htmGoogle Scholar
  • Lamont A. User's guide to the META.Net economic modeling system. (1994) . Technical report, University of California, Lawrence Livermore National Laboratory, Washington, DCGoogle Scholar
  • Li YF, Huang GH, Li YP, Xu Y, Chen WT. Regional-scale electric power system planning under uncertainty—A multistage interval-stochastic integer linear programming approach. Energy Policy (2010) 38(1):475–490CrossrefGoogle Scholar
  • Loulou R, Labriet M. ETSAP-TIAM: The TIMES integrated assessment model part I: Model structure. Comput. Management Sci. (2007) 1(1–2):7–40CrossrefGoogle Scholar
  • Loulou R, Goldstein G, Noble K. Documentation for the MARKAL family of models. Energy Tech. Systems Anal. Programme (2004) . Retrieved March 7, 2013, http://www.etsap.org/MrklDoc-I_StdMARKAL.pdfGoogle Scholar
  • Meuffels WJ, den Hertog D. Solving the battleship puzzle as an integer programming problem. INFORMS Trans. Ed. (2010) 10(3):156–162LinkGoogle Scholar
  • Prince M. Does active learning work? A review of the research. J. Engrg. Ed. (2004) 93(3):223–233CrossrefGoogle Scholar
  • Sadeghi M, Hosseini HM. Energy supply planning in Iran by using fuzzy linear programming approach (regarding uncertainties of investment costs). Energy Policy (2006) 34(9):993–1003CrossrefGoogle Scholar
  • Schrattenholzer L. The Energy Supply Model MESSAGE (1981) (International Institute for Applied Systems Analysis, Laxenburg, Austria) Google Scholar
  • Sniedovich M. OR/MS games 1: A neglected educational resource. INFORMS Trans. Ed. (2002) 2(3):86–95LinkGoogle Scholar
  • Squire K. Changing the game: What happens when video games enter the classroom? Innovate J. Online Ed. (2005) 1(6):1–20Google Scholar
  • Trick MA. Using sports scheduling to teach integer programming. INFORMS Trans. Ed. (2004) 5(1):10–17LinkGoogle Scholar
  • Wong S, Fuller JD. Pricing energy and reserves using stochastic optimization in an alternative electricity market. IEEE Trans. Power Systems (2007) 22(2):631–638CrossrefGoogle Scholar
  • Wood SC. Online games to teach operations. INFORMS Trans. Ed. (2007) 8(1):3–9LinkGoogle Scholar
  • Wouters W, Geerts E, Van Hevel J, Eyckmans J, Verbeke T. Energie rijk. (2009) . Retrieved December 2, 2011, http://energierijk.be/game/index-EN.htmlGoogle Scholar
  • Zhua Y, Huanga G, Lia Y, Hea L, Zhangb X. An interval full-infinite mixed-integer programming method for planning municipal energy systems—A case study of Beijing. Appl. Energy (2011) 88(8):2846–2862CrossrefGoogle Scholar
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