Production processes modelling within digital product manufacturing in the context of Industry 4.0
Нема приказа
Аутори
Vještica, MarkoDimitrieski, Vladimir
Pisarić, Milan
Kordić, Slavica
Ristić, Sonja
Luković, Ivan
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Industry 4.0 aims to establish highly flexible production, enabling effective and efficient mass customisation of products. Modelling techniques and simulation of production processes are among the core techniques of the manufacturing industry that facilitate flexibility and automation of a shop floor in the era of Industry 4.0. In this paper, we present an approach to support production process modelling and process model management. The approach is based on Model-Driven (MD) principles and comprises a Domain-Specific Modelling Language (DSML) named Multi-Level Production Process Modelling Language (MultiProLan). MultiProLan uses a set of concepts to specify production process models suitable for automatic instruction generation and execution of the instructions in a simulation or on a shop floor. By using MultiProLan, process designers may create process models independent of the specific production system. Such process models can either be automatically enriched by matching and sche...duling algorithms or manually enriched by a process designer via MultiProLan's modelling tool. In this paper, we also present an application of our approach in the assembly industry to showcase its dynamic resource management, generation of production documentation, error handling and process monitoring.
Кључне речи:
Production process modelling / process execution / model-driven engineering / Industry 4 / domain-specific modelling languagesИзвор:
International Journal of Production Research, 2022Издавач:
- Taylor & Francis Ltd, Abingdon
DOI: 10.1080/00207543.2022.2125593
ISSN: 0020-7543
WoS: 000861276700001
Scopus: 2-s2.0-85141195522
Институција/група
Fakultet organizacionih naukaTY - JOUR AU - Vještica, Marko AU - Dimitrieski, Vladimir AU - Pisarić, Milan AU - Kordić, Slavica AU - Ristić, Sonja AU - Luković, Ivan PY - 2022 UR - https://rfos.fon.bg.ac.rs/handle/123456789/2331 AB - Industry 4.0 aims to establish highly flexible production, enabling effective and efficient mass customisation of products. Modelling techniques and simulation of production processes are among the core techniques of the manufacturing industry that facilitate flexibility and automation of a shop floor in the era of Industry 4.0. In this paper, we present an approach to support production process modelling and process model management. The approach is based on Model-Driven (MD) principles and comprises a Domain-Specific Modelling Language (DSML) named Multi-Level Production Process Modelling Language (MultiProLan). MultiProLan uses a set of concepts to specify production process models suitable for automatic instruction generation and execution of the instructions in a simulation or on a shop floor. By using MultiProLan, process designers may create process models independent of the specific production system. Such process models can either be automatically enriched by matching and scheduling algorithms or manually enriched by a process designer via MultiProLan's modelling tool. In this paper, we also present an application of our approach in the assembly industry to showcase its dynamic resource management, generation of production documentation, error handling and process monitoring. PB - Taylor & Francis Ltd, Abingdon T2 - International Journal of Production Research T1 - Production processes modelling within digital product manufacturing in the context of Industry 4.0 DO - 10.1080/00207543.2022.2125593 UR - conv_2769 ER -
@article{ author = "Vještica, Marko and Dimitrieski, Vladimir and Pisarić, Milan and Kordić, Slavica and Ristić, Sonja and Luković, Ivan", year = "2022", abstract = "Industry 4.0 aims to establish highly flexible production, enabling effective and efficient mass customisation of products. Modelling techniques and simulation of production processes are among the core techniques of the manufacturing industry that facilitate flexibility and automation of a shop floor in the era of Industry 4.0. In this paper, we present an approach to support production process modelling and process model management. The approach is based on Model-Driven (MD) principles and comprises a Domain-Specific Modelling Language (DSML) named Multi-Level Production Process Modelling Language (MultiProLan). MultiProLan uses a set of concepts to specify production process models suitable for automatic instruction generation and execution of the instructions in a simulation or on a shop floor. By using MultiProLan, process designers may create process models independent of the specific production system. Such process models can either be automatically enriched by matching and scheduling algorithms or manually enriched by a process designer via MultiProLan's modelling tool. In this paper, we also present an application of our approach in the assembly industry to showcase its dynamic resource management, generation of production documentation, error handling and process monitoring.", publisher = "Taylor & Francis Ltd, Abingdon", journal = "International Journal of Production Research", title = "Production processes modelling within digital product manufacturing in the context of Industry 4.0", doi = "10.1080/00207543.2022.2125593", url = "conv_2769" }
Vještica, M., Dimitrieski, V., Pisarić, M., Kordić, S., Ristić, S.,& Luković, I.. (2022). Production processes modelling within digital product manufacturing in the context of Industry 4.0. in International Journal of Production Research Taylor & Francis Ltd, Abingdon.. https://doi.org/10.1080/00207543.2022.2125593 conv_2769
Vještica M, Dimitrieski V, Pisarić M, Kordić S, Ristić S, Luković I. Production processes modelling within digital product manufacturing in the context of Industry 4.0. in International Journal of Production Research. 2022;. doi:10.1080/00207543.2022.2125593 conv_2769 .
Vještica, Marko, Dimitrieski, Vladimir, Pisarić, Milan, Kordić, Slavica, Ristić, Sonja, Luković, Ivan, "Production processes modelling within digital product manufacturing in the context of Industry 4.0" in International Journal of Production Research (2022), https://doi.org/10.1080/00207543.2022.2125593 ., conv_2769 .