Authors:
Michael Glöckner
;
Stefan Mutke
and
André Ludwig
Affiliation:
Leipzig University, Germany
Keyword(s):
Logistics, Planning, Model-driven, Process Alternatives, Evaluation.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Bioinformatics
;
Biomedical Engineering
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Methodologies and Technologies
;
Model Driven Architectures and Engineering
;
Ontologies and the Semantic Web
;
Operational Research
;
Scheduling and Planning
;
Simulation
;
Society, e-Business and e-Government
;
Web Information Systems and Technologies
Abstract:
The objective of tactical planning in logistics is the engineering and evaluation of processes within a given set of possible alternatives. Due to outsourcing and a division of labor, a high number of participants, available services and thus possible process alternatives arises within logistics networks. The additional wide range of service description and annotation methods result in a complex planning process. In order to support planning, a semi-automated approach is presented in this paper that is based on a combined catalog and construction system (for engineering) and a generic simulation approach (for evaluation) that are able to handle the variety of description and annotation methods. The basic concepts are presented and afterward associated by a model-driven approach in order to connect them and make them compatible to work with each other. Finally, a method is developed to foster a semi-automated engineering and evaluation of process alternatives.