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Modeling languages in Industry 4.0: an extended systematic map** study
Abstract 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 …
the complete value-added chain. Successfully applying Industry 4.0 requires the …
Examining the digitalisation of virtual enterprises amidst the COVID-19 pandemic: a systematic and meta-analysis
Enterprises are surviving in a digital transitioning society, where the creation of strategic
alliances is one important result of this constant change during the coronavirus 2019 …
alliances is one important result of this constant change during the coronavirus 2019 …
Architecture and governance of digital business ecosystems: A systematic literature review
The purpose of this study is to examine the reported architectural approaches and
governance mechanisms for digital business ecosystems (DBEs). A systematic literature …
governance mechanisms for digital business ecosystems (DBEs). A systematic literature …
Enterprise resource planning in the age of industry 4.0: A general overview
This chapter discusses the future Enterprise Resource Planning (ERP) systems on the new
production systems that are influenced by industry 4.0 technologies. ERP provides efficient …
production systems that are influenced by industry 4.0 technologies. ERP provides efficient …
An ontology and multi-agent based decision support framework for prefabricated component supply chain
Due to industrialization and informatization of the construction industry, prefabricated
construction has attracted wide attention from both research and practitioner communities. In …
construction has attracted wide attention from both research and practitioner communities. In …
[HTML][HTML] Domain-specific languages for the automated generation of datasets for industry 4.0 applications
Data collected in Industry 4.0 applications must be converted into tabular datasets before
they can be processed by analysis algorithms, as in any data analysis system. To perform …
they can be processed by analysis algorithms, as in any data analysis system. To perform …
Assessing the investment risk of virtual IT company based on machine learning
A module for assessing the investment risks of a virtual IT company has been developed. It
enables to reduce the time spent on assessing the inves-tor's risks of a virtual IT company. A …
enables to reduce the time spent on assessing the inves-tor's risks of a virtual IT company. A …
Bridging the gap between domain ontologies for predictive maintenance with machine learning
Predictive maintenance often relies on the continuous monitorization of equipment behavior,
generally provided by sensors or by the very equipment. Additional data from management …
generally provided by sensors or by the very equipment. Additional data from management …
Modelling of Organisational Rules in Complex Adaptive Systems: a Systematic Map** Study
Organisational rules, both created internally and externally mandated, are vital to an
enterprise. Yet, understanding and managing these rules is problematic, as they are a part …
enterprise. Yet, understanding and managing these rules is problematic, as they are a part …
The integration of ERP and inter-intra organizational information systems: A Literature Review
This paper provides an initial systematic review of journal publications on ERP and
Information Systems (IS) integration. Three essential types of integration are proposed to …
Information Systems (IS) integration. Three essential types of integration are proposed to …