Information Modeling of Rule-based Logistic Planning Processes Kanban Loop Planning Supported by a Workflow Engine

Stephanie Bäuml, Daniel Hilpoltsteiner, Sebastian Meißner, Christian Seel

2019

Abstract

This paper discusses the modeling of rule-based logistics planning processes. These are mostly inadequately documented and modeled, especially for small and medium-sized enterprises (SMEs). As a starting point, the ways of representing rule-based logistics planning processes and the modeling languages suitable for the processes are introduced. In addition, it is shown how decision rules can be represented in modeling languages. Based on this, a prototypical representation for the planning of a kanban loop is presented as a technical model. This serves as the basis for a workflow, which is constructed by transforming the domain-oriented model into a technical model. A workflow engine is used to execute and evaluate the technical model.

Paper Citation

in Harvard Style

Bäuml S., Hilpoltsteiner D., Meißner S. and Seel C. (2019). Information Modeling of Rule-based Logistic Planning Processes Kanban Loop Planning Supported by a Workflow Engine. In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 3: KMIS; ISBN 978-989-758-382-7, SciTePress, pages 167-175. DOI: 10.5220/0008053701670175

in Bibtex Style

@conference{kmis19,
author={Stephanie Bäuml and Daniel Hilpoltsteiner and Sebastian Meißner and Christian Seel},
title={Information Modeling of Rule-based Logistic Planning Processes Kanban Loop Planning Supported by a Workflow Engine},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 3: KMIS},
year={2019},
pages={167-175},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008053701670175},
isbn={978-989-758-382-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 3: KMIS
TI - Information Modeling of Rule-based Logistic Planning Processes Kanban Loop Planning Supported by a Workflow Engine
SN - 978-989-758-382-7
AU - Bäuml S.
AU - Hilpoltsteiner D.
AU - Meißner S.
AU - Seel C.
PY - 2019
SP - 167
EP - 175
DO - 10.5220/0008053701670175
PB - SciTePress