Expert Systems and knowledge management for failure prediction to onshore pipelines: issue to Industry 4.0 implementation

Author:

Buccieri Gilberto Pachoal1ORCID,Muniz Jr. Jorge1ORCID,Balestieri José Antonio Perrella1ORCID,Matelli José Alexandre1ORCID

Affiliation:

1. Universidade Estadual Paulista, Brasil

Abstract

Abstract: The paper aims to propose an Expert System to predict the failure of onshore pipelines. Knowledge Management supports expertise sharing throughout the organization. The Expert System Prototype Model proposed is classified as Empirical Descriptive Research, and may support maintenance management. The findings evidence that Expert System proposed grounded in employee knowledge may be considered a promising solution to support Industry 4.0 implementation. The Expert System facilitates the decision-making of the experts so that the employees’ expertise can be better used in the implementation of Industry 4.0 and to face the new challenges related to the daily work in the organization. In this context, the Expert System can be considered as an innovative approach to manage maintenance processes and supporting reliable, consistent decisions during I.4 implementation.

Publisher

FapUNIFESP (SciELO)

Subject

Industrial and Manufacturing Engineering,Business and International Management

Reference53 articles.

1. Improving explanations in knowledge-based systems: RATIONALE;Abu-Hakima S.;Knowledge Acquisition,1990

2. Learning factory: the path to Industry 4.0;Baena F.;Procedia Manufacturing,2017

3. Operations management research methodologies using quantitative modeling;Bertrand J. W. M.;International Journal of Operations & Production Management,2002

4. Directive decision devices: extending the reach of automation into the finance domain;Blue J.;Expert Systems with Applications,2010

5. AICAMS: artificial intelligence crime analysis and management system;Brahan J. W.;Knowledge-Based Systems,1998

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