A modular framework for optimal scheduling of industrial processes-Reference-Cited by-同舟云学术

A modular framework for optimal scheduling of industrial processes

Published:2022-01-01 Issue:1 Volume:70 Page:31-37
ISSN:2196-677X
Container-title:at - Automatisierungstechnik
language:en
Short-container-title:

Author:

Schild Axel¹,Rose Alexander²,Grotjahn Martin²,Luck Bennet¹

Affiliation:

1. 483156 IAV GmbH , Gifhorn , Germany

2. IKME – Advanced Control , Hannover University of Applied Sciences and Arts , Hannover , Germany

Abstract

Abstract This paper proposes an extended Petri net formalism as a suitable language for composing optimal scheduling problems of industrial production processes with real and binary decision variables. The proposed approach is modular and scalable, as the overall process dynamics and constraints can be collected by parsing of all atomic elements of the net graph. To conclude, we demonstrate the use of this framework for modeling the moulding sand preparation process of a real foundry plant.

Publisher

Walter de Gruyter GmbH

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

https://www.degruyter.com/document/doi/10.1515/auto-2021-0131/pdf

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