2020
DOI: 10.1007/978-3-030-57993-7_50
|View full text |Cite
|
Sign up to set email alerts
|

An Application of a DSML in Industry 4.0 Production Processes

Abstract: One of the goals of Industry 4.0 is to enable mass customization of products and to satisfy specific needs of customers. This goal is often hard to achieve in traditional manufacturing systems. To enable fast production changes, an automatic and flexible production is needed. In this context we propose a Model-Driven Software Development (MDSD) approach and a Domain-Specific Modeling Language (DSML) to model production processes. The language supports two levels of abstraction. A Master-Level (ML) model is use… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
3
3
2

Relationship

2
6

Authors

Journals

citations
Cited by 8 publications
(3 citation statements)
references
References 11 publications
0
3
0
Order By: Relevance
“…One of the key future steps of our research will be to conduct the evaluation of the presented language. Using Modeling Tool, the language is tested by industrial process designers within an industrial use case [35], but we plan to systematically conduct the language evaluation that will include researchers and students from the academic community and process designers from the industry. During the initial MultiProLan validation, process designers were able to easily model the entire production process they needed and send the models to Orchestrator for execution.…”
Section: Discussionmentioning
confidence: 99%
“…One of the key future steps of our research will be to conduct the evaluation of the presented language. Using Modeling Tool, the language is tested by industrial process designers within an industrial use case [35], but we plan to systematically conduct the language evaluation that will include researchers and students from the academic community and process designers from the industry. During the initial MultiProLan validation, process designers were able to easily model the entire production process they needed and send the models to Orchestrator for execution.…”
Section: Discussionmentioning
confidence: 99%
“…The intended research should try to facilitate interoperability between different production systems by utilizing concepts identified in AIF and offering improvements in the way CBPs are modeled in the domain of Industry 4.0. Modeling of production processes in the domain of Industry 4.0 is essential in order to understand, control, and optimize process operations, and has been an important topic of our previous research [20]. Different notational aspects of CBP models, concerned with their expressiveness and visual representation, and the execution significance that concerns their computability by a machine, should be examined while considering different characteristics of the proposed DLT monitoring platform.…”
Section: Research Challenges and Related Workmentioning
confidence: 99%
“…In this context, the capability of generic simulation languages (e.g., Modelica) to verify and validate simulation models is limited to assure the syntactic correctness of the models; for example, checking that the set of variables and mathematical relationships is sufficient to obtain a solution. An interesting alternative to overcome these limitations is the adoption of domain-specific modeling languages (DSML) [6], which include the specific semantics of a studied domain, which would enable the model consistency validation based on these specific semantics. Generic descriptive modeling languages such as SysML [7] support the development of DSML, defining specific profiles that extend the language by adding stereotypes and detailing the semantics through OCL expressions [8].…”
Section: Introductionmentioning
confidence: 99%