A case study on the object-oriented framework for modeling product families with the dominant variation of the topology in the one-of-a-kind production

Aleksić, Dejan; Janković, Dragan; Stoimenov, Leonid

doi:10.1007/s00170-011-3466-4

Cited by 17 publications

(6 citation statements)

References 36 publications

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“…Out of the 408 included publications, only 23 (5.64 %) reported such applications. The industrial domains include automotive [39,68,79], avionics manufacturing [121,127], packaging [155], production of white goods [9], oil production [71,133], and production of windows and doors [7]. The next section presents our main findings along the four classification dimensions.…”

Section: Umlmentioning

confidence: 95%

Modeling languages in Industry 4.0: an extended systematic mapping study

et al. 2019

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Industry 4.0 integrates Cyber-Physical Systems with the Internet of Things to optimize the complete value-added chain. Successfully applying Industry 4.0 requires the cooperation of various stakeholders from different domains. Domain-specific modeling languages promise to facilitate their involvement through leveraging (domain-specific) models to primary development artifacts. Objective: We aim to assess the use of modeling in Industry 4.0 through the lens of modeling languages in a broad sense. Method: Based on an extensive literature review, we updated our systematic mapping study on modeling languages and modeling techniques used in Industry 4.0 [159] to include publications until February 2018. Overall, the updated study considers 3344 candidate publications that were systematically investigated until 408 relevant publications were identified. Based on these, we developed an updated map of the research landscape on modeling languages and techniques for Industry 4.0. Results: Research on modeling languages in Industry 4.0 focuses on contributing methods to solve the challenges of digital representation and integration. To this end, languages from systems engineering and knowledge representation are applied most often but rarely combined. There also is a gap between the communities researching and applying modeling languages for In

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Section: Umlmentioning

confidence: 95%

Modeling languages in Industry 4.0: an extended systematic mapping study

et al. 2019

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“…Moreover, we also investigated whether the classified publications report on real-world industrial applications. Out of the 222 publications included into classification, only 10 reported such applications in automotive [52], avionics manufacturing [47], packaging [53], production of white goods [54], oil production [55], and production of windows and doors [56] The next section presents our main findings along the classification dimensions.…”

Section: Modeling Technique Facetmentioning

confidence: 99%

A Systematic Mapping Study on Modeling for Industry 4.0

Wortmann

Combemale

Barais

2017

2017 ACM/IEEE 20th International Conference on Model Driven Engineering Languages and Systems (MODELS)

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Industry 4.0 is a vision of manufacturing in which smart, interconnected production systems optimize the complete value-added chain to reduce cost and time-to-market. At the core of Industry 4.0 is the smart factory of the future, whose successful deployment requires solving challenges from many domains. Model-based systems engineering (MBSE) is a key enabler for such complex systems of systems as can be seen by the increased number of related publications in key conferences and journals. This paper aims to characterize the state of the art of MBSE for the smart factory through a systematic mapping study on this topic. Adopting a detailed search strategy, 1466 papers were initially identified. Of these, 222 papers were selected and categorized using a particular classification scheme. Hence, we present the concerns addressed by the modeling community for Industry 4.0, how these are investigated, where these are published, and by whom. The resulting research landscape can help to understand, guide, and compare research in this field. In particular, this report identifies the Industry 4.0 challenges addressed by the modeling community, but also the challenges that seem to be less investigated.

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“…Although the OKP has been considered a promising approach to meet today's market demands, it also faces many challenges due to the large variations of OKP products. Three types of product variations, configuration variations, parameter variations and topology variations, are considered in the modelling of OKP products and the identification of the optimal product based on customer requirements [10], [11].…”

Section: One-of-kind Productionmentioning

confidence: 99%

“…Unlike the ATO product strategy, in which a larger part of the final product design has been finished in this phase, the OKP product strategy performs only the initial future product design in this phase, while the final product design is done later after the individual customers' orders have been received [11]. After the creation of the product families, the OKP production is ready for the next phase of the production process.…”

Section: The Influence Of the Customer On The Production Process In Tmentioning

confidence: 99%