Modelling a Warehouse with SLICER: A Contribution to the MULTI Warehouse Challenge
In this paper we apply the SLICER multi-level modelling framework on the MULTI 2024 Warehouse Challenge. SLICER was first introduced at the ER 2015 conference[17] and formally specified in [18]. It has been implemented in an object-oriented knowledge representation and reasoning system and the framework identifies additional semantic subcategories for the traditional object-oriented relationship types and uses these distinctions for a new style of formal characterisation of level relationships. The framework is executable via its implementation in a dynamic metamodeling and object logic environment. We first introduce SLICER, then describe its application on the Warehouse Challenge requirements and then discuss the advantages of the SLICER representation.
Authors
- Markus Stumptner (ORCID: https://orcid.org/0000-0002-7125-3289)
- Matt Selway (ORCID: https://orcid.org/0000-0001-6220-6352)
- Georg Großmann (ORCID: https://orcid.org/0000-0003-4415-2228)
- Karamjit Kaur (ORCID: https://orcid.org/0000-0003-0255-1060)
- Yuhong Fu (ORCID: https://orcid.org/0000-0003-2093-2326)
Institutions
- University of South Australia (AU)
Publication Details
- Published
- 2024-09-22
- DOI
- https://doi.org/10.1145/3652620.3688215
- Primary Topic
- Advanced Manufacturing and Logistics Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00