M
Milan Zdravković
Researcher at University of Niš
Publications - 48
Citations - 584
Milan Zdravković is an academic researcher from University of Niš. The author has contributed to research in topics: Interoperability & Enterprise information system. The author has an hindex of 11, co-authored 46 publications receiving 487 citations.
Papers
More filters
Journal ArticleDOI
New perspectives for the future interoperable enterprise systems
Hervé Panetto,Milan Zdravković,Ricardo Jardim-Goncalves,David Romero,Joe Cecil,István Mezgár +5 more
TL;DR: The paper describes the information system and interoperability related challenges, trends and issues that must be addressed to support a new generation of scientific-based and technological solutions for facilitating the collaboration of existing enterprise systems.
Journal ArticleDOI
An approach for formalising the supply chain operations
TL;DR: An approach to overcome semantic inconsistencies and incompleteness of the Supply Chain Operations Reference (SCOR) model and hence improve its usefulness and expand the application domain is presented.
Proceedings Article
Survey of Internet-of-Things platforms
Milan Zdravković,Miroslav Trajanović,Joao Sarraipa,Ricardo Jardim-Goncalves,Mario Lezoche,Alexis Aubry,Hervé Panetto +6 more
TL;DR: The main conclusions regarding the functional and design perspective to current IoT platforms and related research are presented and meant to be used in the development of a formal runtime model-driven IoT platform.
Journal ArticleDOI
Domain framework for implementation of open IoT ecosystems
TL;DR: The overview of the scientific disciplines which could contribute to the resolution of the IoT implementation problem, namely requirements engineering, change management/continuous improvement, model-based systems engineering, system architecture design, interoperability and policy and regulatory aspects are provided.
Journal ArticleDOI
Conceptualising and structuring semantics in cooperative enterprise information systems models
TL;DR: This paper analyses interoperability issues between cooperative enterprise information systems (CEIS) and proposes a conceptualisation approach for semantics discovery and management in enterprise information system models, based on applying fact-oriented transformation rules.