NDLI: Integrated scheduling and dynamic optimization of network batch processes

Content Provider	IEEE Xplore Digital Library
Author	Yunfei Chu Fengqi You
Copyright Year	2014
Description	Author affiliation: Dept. of Chem. & Biol. Eng., Northwestern Univ., Evanston, IL, USA (Yunfei Chu; Fengqi You)
Abstract	We address the integration of scheduling and dynamic optimization for batch chemical processes. The processes can have complex network structures, allowing material splitting and mixing. The integrated problem is formulated as a mixed-integer dynamic optimization problem. To reduce the computational complexity, we develop a tailored and efficient decomposition method based on the framework of generalized Benders decomposition by exploiting the special structure of the integrated problem. The decomposed master problem is a scheduling problem with variable processing times and processing costs, as well as the Benders cuts. The primal problem comprises a set of separable dynamic optimization problems for the processing units. In comparison with the simultaneous method which solves the integrated problem by a general-purpose mixed-integer nonlinear programming solver, the proposed method can reduce computational times by orders of magnitude.
Starting Page	5024
Ending Page	5029
File Size	338096
Page Count	6
File Format	PDF
ISBN	9781479932726
ISSN	07431619
e-ISBN	9781479932740
DOI	10.1109/ACC.2014.6858593
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Dynamic scheduling Mathematical model Optimization Materials Batch production systems Processor scheduling Differential equations Optimal control Manufacturing systems
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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