Fashioning fair foursomes for the fairway (using a spreadsheet-based DSS as the driver)

Decision Support Systems

Volumn 45, Issue 4, 2008, Pages 997-1006

  Ragsdale, Cliff T ^a   Scheibe, Kevin P ^b   Trick, Michael A ^c  

^a PAMPLIN COLLEGE OF BUSINESS   (United States)

^b IOWA STATE UNIVERSITY   (United States)

^c CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Golf scramble problem; Mixed integer programming; Scheduling; Spreadsheets

Indexed keywords

DATA COMPRESSION; MATHEMATICAL PROGRAMMING; SPREADSHEETS;

EXTERNAL-; GOLF SCRAMBLE PROBLEM; MIXED-INTEGER PROGRAMMING; PUBLIC UNIVERSITIES; SCHEDULING;

INTEGER PROGRAMMING;

EID: 53349109905     PISSN: 01679236     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dss.2008.03.009     Document Type: Article

References (50)

1. Armstrong J., and Willis R.J. Scheduling the Cricket World Cup-a case-study. Journal of the Operational Research Society 44 11 (1993) 1067
2. Bartsch T., Drexl A., and Kroger S. Scheduling the Professional Soccer Leagues of Austria and Germany. Computers & Operations Research 33 7 (2006) 1907
3. Bergey P.K., Ragsdale C.T., and Hoskote M. A decision support system for the electrical power districting problem. Decision Support Systems 36 1 (2003) 1-17
4. Bruinshoofd A., and ter Weel B. Manager to go? Performance dips reconsidered with evidence from Dutch football. European Journal of Operational Research 148 2 (2003) 233
5. Buehlmann U., Ragsdale C.T., and Gfeller B. A spreadsheet-based decision support system for wood panel manufacturing. Decision Support Systems 29 3 (2000) 207-227
6. Chan Y.E., and Storey V.C. The use of spreadsheets in organizations: determinants and consequences. Information and Management 31 3 (1996) 119-134
7. Conway D., and Ragsdale C. Modeling optimization problems in the unstructured world of spreadsheets. Omega 25 3 (1997) 313-322
8. Cutshall R., Gavirneni S., and Schultz K. Indiana University's Kelley School of Business uses integer programming to form equitable, cohesive student teams. Interfaces 37 3 (2007) 265-276
9. de Werra D. Some models of graphs for scheduling sports competitions. Discrete Applied Mathematics 21 1 (1988) 47-65
10. Dear R., and Drezner Z. Applying combinatorial optimization metaheuristics to the golf scramble problem. International Transactions in Operational Research 7 4-5 (2000) 331-347
11. Della Croce F., and Oliveri D. Scheduling the Italian Football League: an Ilp-based approach. Computers & Operations Research 33 7 (2006) 1963
12. Della Croce F., Tadei R., and Asioli P.S. Scheduling a round robin tennis tournament under courts and players availability constraints. Annals of Operations Research 92 (1999) 349
13. Dobson S., and Goddard J. Persistence in sequences of football match results: a Monte Carlo analysis. European Journal of Operational Research 148 2 (2003) 247
14. Drexl A., and Knust S. Sports League Scheduling: Graph- and Resource-Based Models. Omega 35 5 (2007) 465
15. Francis Scheid P.D. Golf competition between individuals. Proceedings of the 11th Conference on Winter Simulation-Volume 2 (1979), IEEE Press, San Diego, CA, United States
16. FrontLine Systems Incorporated (1999), Premium Solver Platform, Incline Village, NV
17. Hall C., and Swartz C. The effect of handicap stroke location on best-ball golf scores. Mathematical Modelling 2 3 (1981) 161
18. Hall C., and Swartz C. The effect of handicap stroke location on golf matches. Mathematical Modelling 2 3 (1981) 153
19. Hamiez J.P., and Hao J.K. Solving the sports league scheduling problem with Tabu search. Lecture Notes in Computer Science (2001)
20. Hamiez J.P., and Hao J.K. A linear-time algorithm to solve the sports league scheduling problem (Prob026 of Csplib). Discrete Applied Mathematics 143 1-3 (2004) 252
21. Henz M. Scheduling a major college basketball conference-revisited. Operations Research 49 1 (2001) 163
22. Henz M., Muller T., and Thiel S. Global constraints for round robin tournament scheduling. European Journal of Operational Research 153 1 (2004) 92
23. ILOG, Cplex, http://www.ilog.com/products/cplex/.
24. Klaassen F.J.G.M., and Magnus J.R. Forecasting the winner of a tennis match. European Journal of Operational Research 148 2 (2003) 257
25. Koning R.H., Koolhaas M., Renes G., and Ridder G. A simulation model for football championships. European Journal of Operational Research 148 2 (2003) 268
26. Lindo (2007), Chicago, IL
27. Litan R.E., Orszag J.M., and Orszag P.R. The Empirical Effects of Collegiate Athletics: An Interim Report (2003), National Collegiate Athletic Association 53
28. March S.T., and Hevner A.R. Integrated Decision Support Systems: A Data Warehousing Perspective. Decision Support Systems 43 3 (2007) 1031
29. McGill T.J., and Klobas J.E. The role of spreadsheet knowledge in user-developed application success. Decision Support Systems 39 3 (2005) 355-369
30. Mitchell J.E. Realignment in the National Football League: did they do it right?. Naval Research Logistics 50 7 (2003) 683
31. Nemhauser G.L., and Trick M.A. Scheduling a major college basketball conference. Operations Research 46 1 (1998) 1-8
32. Novak D.C., and Ragsdale C.T. A decision support methodology for stochastic multi-criteria linear programming using spreadsheets. Decision Support Systems 36 1 (2003) 99-116
33. Pollock S.M. Model for evaluating golf handicapping. Operations Research 22 5 (1974) 1040
34. Rasmussen R.V., and Trick M.A. A Benders Approach for the Constrained Minimum Break Problem. European Journal of Operational Research 177 1 (2007) 198
35. Russell R.A., and Leung J.M.Y. Devising a cost-effective schedule for a baseball league. Operations Research 42 4 (1994) 614
36. Russell R.A., and Urban T.L. A constraint programming approach to the multiple-venue, sport-scheduling problem. Computers & Operations Research 33 7 (2006) 1895
37. Saltzman R.M., and Bradford R.M. Optimal realignments of the teams in the National Football League. European Journal of Operational Research 93 3 (1996) 469
38. Scheid F. Least-squares family of cubic curves with an application to golf handicapping. Siam Journal on Applied Mathematics 22 1 (1972) 77
39. Scheid F.J. Nonlinear feature of golf course rating with application to handicapping. Siam Review 17 2 (1975) 388
40. Schonberger J., Mattfeld D.C., and Kopfer H. Memetic algorithm timetabling for non-commercial sport leagues. European Journal of Operational Research 153 1 (2004) 102
41. Schreuder J.A.M. Combinatorial aspects of construction of competition Dutch-professional-football-leagues. Discrete Applied Mathematics 35 3 (1992) 301
42. Smith L.A., and Prockow I. Simulating a match play handicapping system. Simulation & Gaming 12 4 (1981) 417
43. Suzuka A., Miyashiro R., Yoshise A., and Matsui T. Semidefinite programming based approaches to home-away assignment problems in sports scheduling. Algorithmic Applications in Management, Proceedings (2005), Springer-Verlag Berlin, Berlin 95
44. Trick M.A. Integer and constraint programming approaches for round-robin tournament scheduling. Practice and Theory of Automated Timetabling IV (2003), Springer-Verlag Berlin, Berlin 63
45. Trick M.A. A schedule-then-break approach to sports timetabling. Practice and Theory of Automated Timetabling III: Third International Conference, Patat 2000 Konstanz, Germany, August 16-18, 2000, Selected Papers (2001), Springer Berlin / Heidelberg, Berlin 242
46. Urban T.L., and Russell R.A. Scheduling sports competitions on multiple venues. European Journal of Operational Research 148 2 (2003) 302
47. Van Voorhis T. College basketball scheduling with travel swings. Computers & Industrial Engineering 48 2 (2005) 163
48. Van Voorhis T. Highly constrained college basketball scheduling. Journal of the Operational Research Society 53 6 (2002) 603
49. van Weert A., and Schreuder J.A.M. Construction of basic match schedules for sports competitions by using graph theory. Practice and Theory of Automated Timetabling Ii (1998), Springer-Verlag, Berlin 201
50. Wright M.B. Scheduling fixtures for basketball New Zealand. Computers & Operations Research 33 7 (2006) 1875