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Research Article

Short-term Production Scheduling Optimization Integrated with Raw Materials Mixing Process in Petrochemical Industry

Yucheng WU, Gang RONG, Jixiong LI, Luheng ZHANG and Zhiqiang LI
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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.

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  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.

DOI: 10.3923/itj.2013.4968.4976



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