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.