Toward an Adaptive Enterprise Modelling Platform - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2018

Toward an Adaptive Enterprise Modelling Platform

Amjad Fayoumi
  • Function : Author
  • PersonId : 1048953

Abstract

For the past three decades, enterprise modelling (EM) has been emerging as a significant yet complex paradigm to tackle holistic systematic enterprise analysis and design. With a high fluctuation in the global economy, industrial stability and technology shift, the necessity of such paradigms becomes crucial in determining the decisions that an enterprise can make for surviving in such a highly dynamic business ecosystem. EM practices have focused for a long time, on the design-time of enterprise systems. Recently, there has been a rapid development in data analytics, machine learning and intelligent systems from which an EM platform can benefit. EM needs to cope with the new changes in both business and technology; it should also help architects to determine optimum decisions and reduce complexity in technical infrastructure. In this paper, the author discusses several challenges facing enterprise modelling practices and offers an architectural notion for future development focusing on the requirements of a platform that can be called intelligent and adaptive.
Fichier principal
Vignette du fichier
474841_1_En_23_Chapter.pdf (805.62 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02156477 , version 1 (14-06-2019)

Licence

Attribution

Identifiers

Cite

Amjad Fayoumi. Toward an Adaptive Enterprise Modelling Platform. 11th IFIP Working Conference on The Practice of Enterprise Modeling (PoEM), Oct 2018, Vienna, Austria. pp.362-371, ⟨10.1007/978-3-030-02302-7_23⟩. ⟨hal-02156477⟩
75 View
42 Download

Altmetric

Share

Gmail Facebook X LinkedIn More