Optimized production planning model for a multi-plant cultivation system under uncertainty

Abstract

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.

Keywords:

• collaborative cultivation
• production plan
• multi-plant
• uncertainty

Funding

This work was supported by the National High Technology Research and Development Programme (863) of China under grant 2012AA101903 and 2013AA103006; the transformation project of the national agricultural science and technology achievements under grant 2012GB2C000142; Science and Technology Commission of Shanghai Municipality Programme under grant 11dz1960203; and Shanghai Graduate Education and Innovation Programme (Horticulture).