https://orcid.org/0000-0003-2368-5818
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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.
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No potential conflict of interest was reported by the author(s).
Data availability statement
The authors confirm that the data supporting the findings of this study are available within the article.
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Notes on contributors
Marko Vještica
Marko Vještica is a teaching assistant and a Ph.D. candidate in Computer Engineering at the University of Novi Sad, Faculty of Technical Sciences, and holds labs in courses covering the topics of meta-modelling, domain-specific languages, business process modelling and databases. He received an M.Sc. degree from the University of Novi Sad, Faculty of Technical Sciences, in 2018. Marko is participating in several industrial and research projects covering the domains of smart manufacturing, domain-specific modelling and automatic model transformations and code generation, in which he published multiple research papers. His research interests include meta-modelling, domain-specific languages, model-driven engineering, model transformations, production process modelling and Industry 4.0.
Vladimir Dimitrieski
Vladimir Dimitrieski works as an assistant professor at the University of Novi Sad, Faculty of Technical Sciences, Serbia. There, he went through all the academic education levels, receiving Ph.D. in computer science in 2018. Currently, he is a lecturer in several courses at the Faculty of Technical Sciences that cover domains of (meta-)modelling, domain-specific languages and data engineering. With a strong background in the domain of Industry 4.0, (meta-)modelling and data engineering, he has been a part of multiple national, international and industrial projects in these domains.
Milan Mirko Pisarić
Milan Mirko Pisarić is a Ph.D. candidate in Computer Engineering at the University of Novi Sad, Faculty of Technical Sciences. He received an M.Sc. degree from the University of Novi Sad, Faculty of Technical Sciences, in 2013. His research interests include smart manufacturing, model-driven engineering, production resource modelling and Industry 4.0. Milan is currently working as an Engineering Manager in KEBA Industrial Automation in Novi Sad, where his current focus is the application of modern technologies in company’s R&D and production departments.
Slavica Kordić
Slavica Kordić works as an Associate Professor at the Division for Applied Computer Science and Informatics, Faculty of Technical Sciences, University of Novi Sad, where she lectures in several Computer Science and Informatics courses. She received her M.Sc. degree from the Faculty of Technical Sciences, at University of Novi Sad, where she also completed her Mr (2 year) and Ph.D. degrees. Her research interests are related to Data Engineering, Database Systems, Information Systems, Software and System Engineering, and Domain Specific Modelling. Her main research interests are particularly focused on Theory of Data Models, Model Transformation, Reengineering, System Design, particularly Logical and Physical Database Design, Development and Usage of MDSD / CASE tools in Software Engineering and System Design, and Domain Specific Modelling and Languages in System Design. Since 2006, Slavica Kordić is a member of the editorial team of the Computer Science and Information Systems (ComSIS) journal.
Sonja Ristić
Sonja Ristić received the bachelor’s degree (Hons.) in mathematics from the Faculty of Science, University of Novi Sad, Novi Sad, Serbia, in 1983, and the bachelor’s degree (Hons.) in economics and the Mr. (two years) and Ph.D. degrees in informatics from the Faculty of Economics, University of Novi Sad, in 1989, 1994, and 2003, respectively. From 1984 until 1990, she worked with Novi Sad Cable Company – NOVKABEL Factory of Electronic Computers, managing and implementing business automation projects in various application domains. From 1990 till 2006, she was with the Novi Sad School of Business, and since 2006, she has been with the Faculty of Technical Sciences, University of Novi Sad. She currently works as a Full Professor at the Faculty of Technical Sciences, University of Novi Sad. Her research interests include Database Systems, Software Engineering, Model Driven Software Engineering, and Domain Specific Languages. She is the author or coauthor of over 100 papers and ten industry projects and software solutions in the area.
Ivan Luković
Ivan Luković received his diploma degree (5 years) in Informatics from the Faculty of Military and Technical Sciences in Zagreb in 1990. He completed his M.Sc (former Mr, 2 years) degree at the University of Belgrade, Faculty of Electrical Engineering in 1993, and his Ph.D. at the University of Novi Sad, Faculty of Technical Sciences in 1996. Currently, he works as a Full Professor at the Faculty of Organisational Sciences of the University of Belgrade, where he lectures in several Computer Science and Informatics courses. His research interests are related to Database Systems, Business Intelligence Systems, and Software Engineering. He is the author or co-author of over 200 papers, 4 books, and 30 industry projects and software solutions in the area. He created a new set of B.Sc. and M.Sc. study programmes in Information Engineering, i.e. Data Science, at the Faculty of Technical Sciences. The programmes were accredited the first time in 2015. Currently, he is a chair of Managing Board of the Computer Science and Information Systems (ComSIS) journal.