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Supply optimization for the production of raw sugar

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  • Grunow, M.
  • Gunther, H.-O.
  • Westinner, R.

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  • Grunow, M. & Gunther, H.-O. & Westinner, R., 2007. "Supply optimization for the production of raw sugar," International Journal of Production Economics, Elsevier, vol. 110(1-2), pages 224-239, October.
    • Handle: RePEc:eee:proeco:v:110:y:2007:i:1-2:p:224-239
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    References listed on IDEAS

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    1. Higgins, Andrew & Antony, George & Sandell, Gary & Davies, Ian & Prestwidge, Di & Andrew, Bill, 2004. "A framework for integrating a complex harvesting and transport system for sugar production," Agricultural Systems, Elsevier, vol. 82(2), pages 99-115, November.
    2. Andrew J. Higgins, 2002. "Australian Sugar Mills Optimize Harvester Rosters to Improve Production," Interfaces, INFORMS, vol. 32(3), pages 15-25, June.
    3. Andrew Higgins & Steve Postma, 2004. "Australian Sugar Mills Optimise Siding Rosters to Increase Profitability," Annals of Operations Research, Springer, vol. 128(1), pages 235-249, April.
    4. Higgins, Andrew, 2006. "Scheduling of road vehicles in sugarcane transport: A case study at an Australian sugar mill," European Journal of Operational Research, Elsevier, vol. 170(3), pages 987-1000, May.
    5. Lopez Milan, Esteban & Miquel Fernandez, Silvia & Pla Aragones, Lluis Miquel, 2006. "Sugar cane transportation in Cuba, a case study," European Journal of Operational Research, Elsevier, vol. 174(1), pages 374-386, October.
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    Cited by:

    1. Kate, Joeri ten & Teunter, Ruud & Kusumastuti, Ratih Dyah & van Donk, Dirk Pieter, 2017. "Bio-diesel production using mobile processing units: A case in Indonesia," Agricultural Systems, Elsevier, vol. 152(C), pages 121-130.
    2. Tuğçe Taşkıner & Bilge Bilgen, 2021. "Optimization Models for Harvest and Production Planning in Agri-Food Supply Chain: A Systematic Review," Logistics, MDPI, vol. 5(3), pages 1-27, August.
    3. Yonit Barron, 2016. "Performance analysis of a reflected fluid production/inventory model," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 83(1), pages 1-31, February.
    4. Piewthongngam, Kullapapruk & Pathumnakul, Supachai & Setthanan, Kanchana, 2009. "Application of crop growth simulation and mathematical modeling to supply chain management in the Thai sugar industry," Agricultural Systems, Elsevier, vol. 102(1-3), pages 58-66, October.
    5. Germs, Remco & Foreest, Nicky D. van, 2014. "Optimal Control of Production-Inventory Systems with Constant and Compound Poisson Demand," Research Report 14001-OPERA, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    6. Kusumastuti, Ratih Dyah & Donk, Dirk Pieter van & Teunter, Ruud, 2016. "Crop-related harvesting and processing planning: a review," International Journal of Production Economics, Elsevier, vol. 174(C), pages 76-92.
    7. Junqueira, Rogerio de Ávila Ribeiro & Morabito, Reinaldo, 2019. "Modeling and solving a sugarcane harvest front scheduling problem," International Journal of Production Economics, Elsevier, vol. 213(C), pages 150-160.
    8. Jim (Junmin) Shi & Michael N. Katehakis & Benjamin Melamed & Yusen Xia, 2014. "Production-Inventory Systems with Lost Sales and Compound Poisson Demands," Operations Research, INFORMS, vol. 62(5), pages 1048-1063, October.
    9. repec:dgr:rugsom:14001-opera is not listed on IDEAS
    10. Yonit Barron, 2016. "Performance analysis of a reflected fluid production/inventory model," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 83(1), pages 1-31, February.
    11. Bocca, Felipe Ferreira & Rodrigues, Luiz Henrique Antunes & Arraes, Nilson Antonio Modesto, 2015. "When do I want to know and why? Different demands on sugarcane yield predictions," Agricultural Systems, Elsevier, vol. 135(C), pages 48-56.

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