Purpose: When planning and designing large production or conveyor facilities according to customer needs; a large number of stakeholders along the product life-cycle and an accordingly large amount of demands have to be considered. Thus; computer-based methods have to be developed which â€śunderstandâ€ť all requirements and prepare them for further processing.
Methodology: Comparable approaches from requirements engineering and software engineering and their respective limitations were used to form a baseline model in which core components (e.g. â€śsourceâ€ť and â€śintended featureâ€ť) were identified. Next; example requirements were taken from interviews; literature or sales catalogues. A comparison of those requirements led to a requirements data model. It represents the information possibly contained in a stakeholderâ€™s demands. This data model was implemented in a relational database; and a framework to create and use domain ontologies to integrate domain knowledge and logistics-specific wording was developed.
Findings: The data model is sound with respect to all requirements studied so far. The attributes collected during the original template creation serve as the foundation for an intralogistics ontology. The application collects additional attributes which can later be used to extend the domain ontology. This enables a designer of intralogistics systems to use additional structuring techniques and thus facilitates the planning of such a system.
Keywords: Eequirements management; intralogistics; data model; domain ontology; transport components