A planning model for the chemical integrated system under uncertainty by grey programming approach

• Authors: Jingzheng Ren , Shiyu Tan , Lichun Dong , Zhiming Zhou , Suzhao Gao , Cihui Pan
• Languages of publication: EN

Abstracts

EN

A model to optimize the planning of the chemical integrated system comprised by multi-devices and multi-products has been proposed in this paper. With the objective to make more profits, the traditional model for optimizing production planning has been proposed. The price of chemicals, the market demand, and the production capacity have been considered as mutative variables, then an improved model in which some parameters are not constant has been developed and a new method to solve the grey linear programming has been proposed. In the grey programming model, the value of credibility can be suggested by the decision-makers, and the results of the production planning calculated by the model can help them to achieve their desired target. An actual case has been studied by the proposed methodology, and the proposed methodology can be popularized to other cases.

Keywords

EN

planning; chemical integrated system; grey programming

• Publisher: De Gruyter Open
• Journal: Polish Journal of Chemical Technology
• Year: 2013
• Volume: 15
• Issue: 2
• Pages: 16-22

Dates

published

1 - 07 - 2013

online

10 - 07 - 2013

Contributors

author

Jingzheng Ren

• School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400044, China
• CESQA (Quality and Environmental Research Centre), University of Padova, Department of Industrial Engineering, Via Marzolo 9, 35131 Padova, Italy

author

Shiyu Tan

• School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400044, China

author

Lichun Dong

• School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400044, China

author

Zhiming Zhou

• School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400044, China

author

Suzhao Gao

• School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400044, China

author

Cihui Pan

• Laboratoire PRiSM, Université de Versailles Saint-Quentin en Yvelines, 45 Avenue des Etats-Unis, 78035 Versailles Cedex, France

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Identifiers

DOI

10.2478/pjct-2013-0019