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Plant planning optimization under time-varying uncertainty: Case study on a Poly (vinyl chloride) plant

Gao, Xiaoyong, Wang, Yuhong, Feng, Zhenhui, Huang, Dexian and Chen, Tao (2018) Plant planning optimization under time-varying uncertainty: Case study on a Poly (vinyl chloride) plant Industrial & Engineering Chemistry Research, 57 (36). pp. 12182-12191.

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Planning optimization considering various uncertainties has attracted increasing attentions in the process industry. In the existing studies, the uncertainty is often described with a time-invariant distribution function during the entire planning horizon, which is a questionable assumption. Particularly, for long-term planning problems, the uncertainty tends to vary with time and it usually increases when a model is used to predict the parameter (e.g. price) far into the future. In this paper, time-varying uncertainties are considered in robust planning problems with a focus on a polyvinyl chloride (PVC) production planning problem. Using the stochastic programming techniques, a stochastic model is formulated, and then transformed into a multi-period mixed-integer linear programming (MILP) model by chance constrained programming and piecewise linear approximation. The proposed approach is demonstrated on industrial-scale cases originated from a real-world PVC plant. The comparisons show that the model considering varying-uncertainty is superior in terms of robustness under uncertainties.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Chemical and Process Engineering
Authors :
Gao, Xiaoyong
Wang, Yuhong
Feng, Zhenhui
Huang, Dexian
Date : 12 September 2018
DOI : 10.1021/acs.iecr.8b02101
Copyright Disclaimer : This document is the unedited Author’s version of a Submitted Work that was subsequently accepted for publication in Industrial & Engineering Chemistry Research, copyright © American Chemical Society after peer review. To access the final edited and published work see
Uncontrolled Keywords : planning optimization, time-varying uncertainty, PVC, chance constrained programming, MILP.
Depositing User : Melanie Hughes
Date Deposited : 21 Aug 2018 07:56
Last Modified : 18 Aug 2019 02:08

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