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A Multilevel Modelling Framework for Quarry Site Operations
Volvo Ce, Sweden.
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.ORCID iD: 0000-0001-5488-2799
Volvo Ce, Sweden.
Volvo Ce, Sweden.
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2024 (English)In: Proceedings - 2024 IEEE/ACM 12th International Workshop on Software Engineering for Systems-of-Systems and Software Ecosystems, SESoS 2024, Association for Computing Machinery, Inc , 2024, p. 61-64Conference paper, Published paper (Refereed)
Abstract [en]

Quarry sites are complex systems that involve several heavy machines, equipment, people, and management systems working together in an unstructured off-road environment. Gaining accurate insights about these sites requires integrating models at various levels to enable a holistic view systems and processes involved and facilitate effective planning, coordination, and decision-making. In this paper, a multi-level modelling framework is proposed to provide an overall structure for the modelling of quarry sites. The motivation for this framework is drawn from insights gained through a large manufacturing company in the heavy-duty vehicle industry, providing a practical perspective on the modeling approach. The framework integrates models of different operations on site enabling effective simulation and optimization and leading to better understanding of the workflow on site and pointing out any possible bottlenecks. The feasibility of the proposed framework was validated through workshops that included a panel of experts in different areas of the field of off-road machinery production company.

Place, publisher, year, edition, pages
Association for Computing Machinery, Inc , 2024. p. 61-64
Keywords [en]
model-driven engineering, modelling and simulation, multilevel modelling, optimization, quarry site, Decision making, Highway administration, Off road vehicles, Quarrying, Roadbuilding machinery, Heavy equipment, Heavy machines, Machine equipment, Model and simulation, Modelling framework, Multilevel modeling, Optimisations, Site operations, Quarries
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-68333DOI: 10.1145/3643655.3643881ISI: 001293142100010Scopus ID: 2-s2.0-85201701283ISBN: 9798400705571 (print)OAI: oai:DiVA.org:mdh-68333DiVA, id: diva2:1895618
Conference
12th International Workshop on Software Engineering for Systems-of-Systems and Software Ecosystems, SESoS 2024, in conjunction with the 46th IEEE/ACM International Conference on Software Engineering, ICSE 2024, Lisbon, April 14 2024
Available from: 2024-09-06 Created: 2024-09-06 Last updated: 2024-09-26Bibliographically approved

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Fattouh, AnasChirumalla, KoteshwarBohlin, Markus

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