Application of the Two-Stage Stochastic Programming for Optimizing Chemical Production Planning under Uncertainties

JOURNAL OF CHEMICAL ENGINEERING OF JAPAN

Xiao-Rong He²  Guang-Lei Huang¹  Yong-Hong Duan¹  Chun-Jian Dong¹  Chu-Fu Li²  Ying-Feng Xiao¹  Lai-Xi Zou²  Bing-Zhen Chen² 

[1] SINOPEC Baling Company;Department of Chemical Engineering, Tsinghua University

关键词: Production Planning;    Chemical Industry;    Uncertainty;    Stochastic Programming;   

DOI  :  10.1252/jcej.08we288

来源: Maruzen Company Ltd

【 摘 要 】

References(18)Most models for chemical production planning are based on deterministic programming approaches without considering uncertainty. This paper presents a two-stage stochastic programming model for chemical production planning optimization with management of purchase and inventory under economic uncertainties including prices of raw materials, product prices and demands, and uses the Monte Carlo sampling method to solve it. The expected profit is maximized taking into account raw materials costs, inventory costs, operating costs and costs of lost demand under economic uncertainties, while the production planning and purchase scheme are optimized simultaneously. The proposed model is validated by a real chemical enterprise based on GIOCIMS (Graphical I/O Chemical Industry Modeling System). The results indicate that the two-stage stochastic programming model can suggest a solution with higher expected profit and lower risk than the one suggested by deterministic programming model.

【 授权许可】

Unknown