loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Stephanie Bäuml 1 ; Daniel Hilpoltsteiner 2 ; Sebastian Meißner 1 and Christian Seel 2

Affiliations: 1 Technology Centre for Production and Logistics Systems, Landshut University of Applied Sciences, Landshut and Germany ; 2 Institute for Project Management and Information Modeling, Landshut University of Applied Sciences, Landshut and Germany

Keyword(s): Rule-based Logistic Planning Processes, Kanban Loop Planning, Knowledge Management, Information Modeling, Workflow Engine.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; KM Strategies and Implementations ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Symbolic Systems ; Tools and Technology for Knowledge Management

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.83.32.226

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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) - KMIS; ISBN 978-989-758-382-7; ISSN 2184-3228, SciTePress, pages 167-175. DOI: 10.5220/0008053701670175

@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) - KMIS},
year={2019},
pages={167-175},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008053701670175},
isbn={978-989-758-382-7},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - KMIS
TI - Information Modeling of Rule-based Logistic Planning Processes Kanban Loop Planning Supported by a Workflow Engine
SN - 978-989-758-382-7
IS - 2184-3228
AU - Bäuml, S.
AU - Hilpoltsteiner, D.
AU - Meißner, S.
AU - Seel, C.
PY - 2019
SP - 167
EP - 175
DO - 10.5220/0008053701670175
PB - SciTePress