Journal
ENGINEERING OPTIMIZATION
Volume 47, Issue 2, Pages 204-220Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/0305215X.2014.881809
Keywords
multi-plant; production plan; uncertainty; collaborative cultivation
Funding
- National High Technology Research and Development Programme (863) of China [2012AA101903, 2013AA103006]
- transformation project of the national agricultural science and technology achievements [2012GB2C000142]
- Science and Technology Commission of Shanghai Municipality Programme [11dz1960203]
- Shanghai Graduate Education and Innovation Programme (Horticulture)
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An inexact multi-constraint programming model under uncertainty was developed by incorporating a production plan algorithm into the crop production optimization framework under the multi-plant collaborative cultivation system. In the production plan, orders from the customers are assigned to a suitable plant under the constraints of plant capabilities and uncertainty parameters to maximize profit and achieve customer satisfaction. The developed model and solution method were applied to a case study of a multi-plant collaborative cultivation system to verify its applicability. As determined in the case analysis involving different orders from customers, the period of plant production planning and the interval between orders can significantly affect system benefits. Through the analysis of uncertain parameters, reliable and practical decisions can be generated using the suggested model of a multi-plant collaborative cultivation system.
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