CProS: A web-based application for chemical production scheduling

Shamik Misra; Lucas Ryan Buttazoni; Venkatachalam Avadiappan; Ho Jae Lee; Martin Yang; Christos T. Maravelias

doi:10.1016/j.compchemeng.2022.107895

CProS: A web-based application for chemical production scheduling

Shamik Misra, Lucas Ryan Buttazoni, Venkatachalam Avadiappan, Ho Jae Lee, Martin Yang, Christos T. Maravelias

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

While a large range of models and methods have been proposed in the literature for chemical production scheduling, very limited tools are available for researchers to test these methods. This communication describes a web-based application (CProS) that was recently developed to facilitate the generation and solution of chemical production scheduling instances. The application offers an interface through which a user can define an instance using the state-task network (STN) representation. Given an instance, the application then automatically generates a discrete-time STN-based mixed-integer linear programming (MIP) model. In addition, the user has the option to use three different solution methods: (1) tightening constraints; (2) a reformulation; and (3) a three-stage discrete-continuous algorithm. We showcase the functionality of the application through a case study.

Original language	English (US)
Article number	107895
Journal	Computers and Chemical Engineering
Volume	164
DOIs	https://doi.org/10.1016/j.compchemeng.2022.107895
State	Published - Aug 2022
Externally published	Yes

All Science Journal Classification (ASJC) codes

General Chemical Engineering
Computer Science Applications

Keywords

Batch scheduling
Mixed integer programming
Solution methods

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10.1016/j.compchemeng.2022.107895

Cite this

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title = "CProS: A web-based application for chemical production scheduling",

abstract = "While a large range of models and methods have been proposed in the literature for chemical production scheduling, very limited tools are available for researchers to test these methods. This communication describes a web-based application (CProS) that was recently developed to facilitate the generation and solution of chemical production scheduling instances. The application offers an interface through which a user can define an instance using the state-task network (STN) representation. Given an instance, the application then automatically generates a discrete-time STN-based mixed-integer linear programming (MIP) model. In addition, the user has the option to use three different solution methods: (1) tightening constraints; (2) a reformulation; and (3) a three-stage discrete-continuous algorithm. We showcase the functionality of the application through a case study.",

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AU - Misra, Shamik

AU - Buttazoni, Lucas Ryan

AU - Avadiappan, Venkatachalam

AU - Lee, Ho Jae

AU - Yang, Martin

AU - Maravelias, Christos T.

PY - 2022/8

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N2 - While a large range of models and methods have been proposed in the literature for chemical production scheduling, very limited tools are available for researchers to test these methods. This communication describes a web-based application (CProS) that was recently developed to facilitate the generation and solution of chemical production scheduling instances. The application offers an interface through which a user can define an instance using the state-task network (STN) representation. Given an instance, the application then automatically generates a discrete-time STN-based mixed-integer linear programming (MIP) model. In addition, the user has the option to use three different solution methods: (1) tightening constraints; (2) a reformulation; and (3) a three-stage discrete-continuous algorithm. We showcase the functionality of the application through a case study.

AB - While a large range of models and methods have been proposed in the literature for chemical production scheduling, very limited tools are available for researchers to test these methods. This communication describes a web-based application (CProS) that was recently developed to facilitate the generation and solution of chemical production scheduling instances. The application offers an interface through which a user can define an instance using the state-task network (STN) representation. Given an instance, the application then automatically generates a discrete-time STN-based mixed-integer linear programming (MIP) model. In addition, the user has the option to use three different solution methods: (1) tightening constraints; (2) a reformulation; and (3) a three-stage discrete-continuous algorithm. We showcase the functionality of the application through a case study.

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KW - Mixed integer programming

KW - Solution methods

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CProS: A web-based application for chemical production scheduling

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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