Decision support for interoperability readiness in networked enterprises

Abstract : Enterprise systems’ interoperability has been identified as a significant issue faced by enterprises, which need to collaborate with other companies and participate within Networked Enterprises. To achieve a higher quality of interoperability and ensure an effective collaboration, a certain number of Interoperability Requirements (IRs) should be satisfied. Thus, interoperability should be verified and continuously improved. A manner for verifying the enterprise systems’ interoperability is through the Interoperability Assessment (INAS). However, in general, the notion of “requirement” is implicit and presented as Interoperability Evaluation Criterion (IEC) in the INAS approaches. It also has been identified that the IEC interdependencies are not explicitly defined. Indeed, their interdependencies should be considered as they can support the identification of impacts on the overall system. Further, the majority of the INAS approaches are manual-conducted, which is a laborious and time-consuming process and in many times depends on the “subjective” knowledge of experts, which can be expensive in time and money when hiring external consultants. In this context, this research proposes a Knowledge-Based Interoperability Assessment System (KBIAS) for supporting decision-making within Networked Enterprises. A Design Science Research (DSR) methodology has been adopted for conducting the work. First, A Requirement Engineering (RE) approach has been adapted to elicit and define relevant IRs, which are father related with system’s components. Such IRs are used as IEC during the INAS process. To formally conceptualise the knowledge about the INAS (subsuming the set of IRs, interoperability problems and solutions), we proposed the Ontology of Interoperability Assessment (OIA). A Model-Based System Engineering approach has been applied for defining and organising the concepts of the proposed ontology. A prototype of the KBIAS using the OIA as its knowledge model has been developed in a Java platform. The developed tool can exploit the knowledge about interoperability issues and information from the as-is situation of the assessed systems for identifying potential problems and improvements. The contribution proposed in this research has been evaluated through a case study based on a real Networked Enterprise
Document type :
Theses
Complete list of metadatas

https://hal.univ-lorraine.fr/tel-02079572
Contributor : Thèses Ul <>
Submitted on : Tuesday, March 26, 2019 - 10:45:38 AM
Last modification on : Friday, May 17, 2019 - 11:41:23 AM
Long-term archiving on : Thursday, June 27, 2019 - 1:50:58 PM

File

DDOC_T_2019_0001_DA_SILVA_SERA...
Files produced by the author(s)

Identifiers

  • HAL Id : tel-02079572, version 1

Collections

Citation

Gabriel Leal. Decision support for interoperability readiness in networked enterprises. Computer Aided Engineering. Université de Lorraine, 2019. English. ⟨NNT : 2019LORR0001⟩. ⟨tel-02079572⟩

Share

Metrics

Record views

108

Files downloads

81