Short-term Production Scheduling Optimization Integrated with Raw Materials Mixing Process in Petrochemical Industry
Abstract:
In petrochemical plants, schedulers have to determine how
much newly received raw material should be piped into reception tanks which
stored previously received raw material and mix raw material with desirable
composition proportion to produce products with due dates. To address the challenge,
we established an optimization model to deal with short-term production scheduling
integrated with raw materials mixing process and introduced a strategy to make
due dates of products demands flexible that can be adjusted at minimum costs
while original ones cannot be met. A novel bounding algorithm is developed to
determine hard bounds of variables in bilinear terms of the model, which makes
the proposed mixed integer nonlinear programing (MNILP) model can be solved
effectively by using the global solution approach based on piecewise defined
convex envelops. Finally, a study case of petrochemical production is presented
to illustrate the approaches proposed in the paper.
How to cite this article
Yucheng WU, Gang RONG, Jixiong LI, Luheng ZHANG and Zhiqiang LI, 2013. Short-term Production Scheduling Optimization Integrated with Raw Materials Mixing Process in Petrochemical Industry. Information Technology Journal, 12: 4968-4976.
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