Production Planning with IEC 62264 and PDDL

Bernhard Wally; Jiri Vyskocil; Petr Novak; Christian Huemer; Petr Kadera; Manuel Wimmer; Alexandra Mazak

doi:10.1109/INDIN41052.2019.8972050

Production Planning with IEC 62264 and PDDL

Bernhard Wally, Jiri Vyskocil, Petr Novak, Christian Huemer, Petr Kadera, Manuel Wimmer, Alexandra Mazak

Institute of Business Informatics - Software Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

Smart production systems need to be able to adapt to changing environments and market needs. They have to reflect changes in (i) the reconfiguration of the production systems themselves, (ii) the processes they perform or (iii) the products they produce. Manual intervention for system adaptation is costly and potentially error-prone. In this article, we propose a model-driven approach for the automatic generation and regeneration of production plans that can be triggered anytime a change in any of the three aforementioned parameters occurs.

Original language	English
Title of host publication	n Proceedings of the 17th IEEE International Conference on Industrial Informatics (INDIN 2019), Helsinki, Finland, July 22-25, 2019
Pages	492-499
Number of pages	8
ISBN (Electronic)	9781728129273
DOIs	https://doi.org/10.1109/INDIN41052.2019.8972050
Publication status	Published - 2019

Fields of science

202005 Computer architecture
202017 Embedded systems
102 Computer Sciences
102002 Augmented reality
102006 Computer supported cooperative work (CSCW)
102015 Information systems
102020 Medical informatics
102022 Software development
102034 Cyber-physical systems
201132 Computational engineering
201305 Traffic engineering
207409 Navigation systems
502032 Quality management
502050 Business informatics

JKU Focus areas

Digital Transformation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/INDIN41052.2019.8972050

Cite this

@inproceedings{9f966794e84846fd807cba607b6d0c76,

title = "Production Planning with IEC 62264 and PDDL",

abstract = "Smart production systems need to be able to adapt to changing environments and market needs. They have to reflect changes in (i) the reconfiguration of the production systems themselves, (ii) the processes they perform or (iii) the products they produce. Manual intervention for system adaptation is costly and potentially error-prone. In this article, we propose a model-driven approach for the automatic generation and regeneration of production plans that can be triggered anytime a change in any of the three aforementioned parameters occurs.",

author = "Bernhard Wally and Jiri Vyskocil and Petr Novak and Christian Huemer and Petr Kadera and Manuel Wimmer and Alexandra Mazak",

year = "2019",

doi = "10.1109/INDIN41052.2019.8972050",

language = "English",

pages = "492--499",

booktitle = "n Proceedings of the 17th IEEE International Conference on Industrial Informatics (INDIN 2019), Helsinki, Finland, July 22-25, 2019",

}

TY - GEN

T1 - Production Planning with IEC 62264 and PDDL

AU - Wally, Bernhard

AU - Vyskocil, Jiri

AU - Novak, Petr

AU - Huemer, Christian

AU - Kadera, Petr

AU - Wimmer, Manuel

AU - Mazak, Alexandra

PY - 2019

Y1 - 2019

N2 - Smart production systems need to be able to adapt to changing environments and market needs. They have to reflect changes in (i) the reconfiguration of the production systems themselves, (ii) the processes they perform or (iii) the products they produce. Manual intervention for system adaptation is costly and potentially error-prone. In this article, we propose a model-driven approach for the automatic generation and regeneration of production plans that can be triggered anytime a change in any of the three aforementioned parameters occurs.

AB - Smart production systems need to be able to adapt to changing environments and market needs. They have to reflect changes in (i) the reconfiguration of the production systems themselves, (ii) the processes they perform or (iii) the products they produce. Manual intervention for system adaptation is costly and potentially error-prone. In this article, we propose a model-driven approach for the automatic generation and regeneration of production plans that can be triggered anytime a change in any of the three aforementioned parameters occurs.

UR - https://ieeexplore.ieee.org/document/8972050

U2 - 10.1109/INDIN41052.2019.8972050

DO - 10.1109/INDIN41052.2019.8972050

M3 - Conference proceedings

SP - 492

EP - 499

BT - n Proceedings of the 17th IEEE International Conference on Industrial Informatics (INDIN 2019), Helsinki, Finland, July 22-25, 2019

ER -

Production Planning with IEC 62264 and PDDL

Abstract

Fields of science

JKU Focus areas

UN SDGs

Access to Document

Other files and links

CDL-MINT Christian Doppler Laboratory for Model-Integrated Smart Production

Cite this

Production Planning with IEC 62264 and PDDL

Abstract

Fields of science

JKU Focus areas

UN SDGs

Access to Document

Other files and links

Projects

CDL-MINT Christian Doppler Laboratory for Model-Integrated Smart Production

Cite this