Australian Sugar Mills Optimize Harvester Rosters to Improve Production

Published Online:https://doi.org/10.1287/inte.32.3.15.41

References

  • Abel D. J., Stark K. P., Murray C. R., Demoulin Y. M. Arouting and scheduling problem for a rail system: A case study. J. Oper. Res. Soc. (1981) 32(9):767–774CrossrefGoogle Scholar
  • Berardi G., Donnelly S. Rural participatory research in Alaska: The case of Tanakon Village. J. Rural Stud. (1999) 15(2):171–178CrossrefGoogle Scholar
  • Brusco M. J., Jacobs L. W. A simulated annealing approach to the cyclic staff scheduling problem. Naval Res. Logistics (1993) 40(1):69–84CrossrefGoogle Scholar
  • Caprara A., Toth P., Vigo D. Modelling and solving the crew rostering problem. Oper. Res. (1998) 46(6):820–830LinkGoogle Scholar
  • Dowsland K. A. Nurse scheduling with tabu search and strategic oscillation. Euro. J. Oper. Res. (1998) 106(2–3):393–407CrossrefGoogle Scholar
  • Glover F. A user's guide to tabu search. Ann. Oper. Res. (1993) 41(1):3–28CrossrefGoogle Scholar
  • Grimley S. C., Horton J. F. Cost and service improvements in harvest/transport through optimization modelling. Proc. 19th Australian Society of Sugarcane Technologists (1997) Coirns, Australia:6–13Google Scholar
  • Higgins A. J. Optimizing cane supply decisions within a sugar mill region. J. Scheduling (1999) 2(5):229–244CrossrefGoogle Scholar
  • Martin A., Sherington J. Participatory research: Methods—implementation, effectiveness and institutional context. Agricultural Systems (1997) 55(2):195–216CrossrefGoogle Scholar
  • McGill I., Beaty L.Action Learning: A Guide for Professional, Management, and Educational Development (1995) (Kogan Page, London, U.K) Google Scholar
  • Muchow R. C., Higgins A. J., Andrew W. J., Haynes M. A. Towards improved harvest management using a whole industry systems approach. Proc. 22nd Australian Society of Sugar Cane Technologists (2000) Bunduberg, Australia:30–37Google Scholar
  • Robertson M. J., Carberry P. S., Lucy M. Evaluation of cropping options using a participatory approach with on-farm monitoring and simulation: A case study of spring-sown mungbeans. Australian J. Agricultural Res. (2000) 51(1):1–12CrossrefGoogle Scholar
  • Srivastava B., Chen W. Part type selection problem in flexible manufacturing systems: Tabu search algorithms. Ann. Oper. Res. (1993) 41(1):279–297CrossrefGoogle 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.