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

Gilberto Pachoal Buccieri; Jorge Muniz Jr.; José Antonio Perrella Balestieri; José Alexandre Matelli

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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.


Expert system, Knowledge management, Industry 4.0, Maintenance


Abu-Hakima S., Oppacher F. Improving explanations in knowledge-based systems: RATIONALE. Knowledge Acquisition. 1990;2(4):301-43.

Baena F., Guarin A., Mora J., Sauza J., Retat S. Learning factory: the path to Industry 4.0. Procedia Manufacturing. 2017;9:73-80.

Bertrand J. W. M., Fransoo J. C. Operations management research methodologies using quantitative modeling. International Journal of Operations & Production Management. 2002;22(2):241-64.

Blue J., Andoh-Baidoo F. K. Directive decision devices: extending the reach of automation into the finance domain. Expert Systems with Applications. 2010;37(1):45-54.

Brahan J. W., Lam K. P., Chan H., Leung W. AICAMS: artificial intelligence crime analysis and management system. Knowledge-Based Systems. 1998;11(5-6):355-61.

Burzlaff F. Knowledge-driven architecture composition.. Informatik 2017. 2017:2365-70.

Castellanos V., Albiter A., Hernández P., Barrera G. Failure analysis expert system for onshore pipelines. Part - I: structured database and knowledge acquisition. Expert Systems with Applications. 2011;38(9):11085-90.

Castellanos V., Albiter A., Hernández P., Barrera G. Failure analysis expert system for onshore pipelines. Part-II: End-User interface and algorithm. Expert Systems with Applications. 2011;38(9):11091-104.

Chang T. C., Chuang S. H. Performance implications of knowledge management processes: examining the roles of infrastructure capability and business strategy. Expert Systems with Applications. 2011;38(5):6170-8.

Chen M. Y., Huang M. J., Cheng Y. C. Measuring knowledge management performance using a competitive perspective: an empirical study. Expert Systems with Applications. 2009;36(4):8449-59.

Chi C. L., Street W. N., Ward M. M. Building a hospital referral expert system with a Prediction and Optimization-Based Decision Support System algorithm. Journal of Biomedical Informatics. 2008;41(2):371-86.

Clips Rules. 2018.

Dalenogare L. S., Benitez G. B., Ayala N. F., Frank A. G. The expected contribution of Industry 4.0 technologies for industrial performance. International Journal of Production Economics. 2018;204:383-94.

Dhaliwal J. S., Tung L. L. Using group support systems for developing a knowledge-based explanation facility. International Journal of Information Management. 2000;20(2):131-49.

Diederich J. Explanation and artificial neural networks. International Journal of Man-Machine Studies. 1992;37(3):335-55.

Erol S., Jäger A., Hold P., Ott K., Sihn W. Tangible Industry 4.0: a scenario-based approach to learning for the future of production. Procedia CiRp. 2016;54:13-8.

Feng W., Duan Y., Fu Z., Mathews B. Understanding expert systems applications from a knowledge transfer perspective. Knowledge Management Research and Practice. 2009;7(2):131-41.

García A. J., Chesñevar C. I., Rotstein N. D., Simari G. R. Formalizing dialectical explanation support for argument-based reasoning in knowledge-based systems. Expert Systems with Applications. 2013;40(8):3233-47.

Giarratano J., Riley G. Expert systems: principles and programming.. 1998.

Goud R., Hasman A., Peek N. Development of a guideline-based decision support system with explanation facilities for outpatient therapy. Computer Methods and Programs in Biomedicine. 2008;91(2):145-53.

Grant R. M. The development of knowledge management in the oil and gas industry. Universia Business Review. 2013;40(40):92-125.

Hajdasz M. Flexible management of repetitive construction processes by an intelligent support system. Expert Systems with Applications. 2014;41(4, Pt 1):962-73.

Horridge M., Bail S., Parsia B., Sattler U. Toward cognitive support for OWL justifications. Knowledge-Based Systems. 2013;53:66-79.

Kim J. S. Development of a composite knowledge manipulation tool: K-Expert. Expert Systems with Applications. 2014;41(9):4337-48.

Kiriş Ş., Yüzügüllü N., Ergün N., Alper Çevik A. A knowledge-based scheduling system for Emergency Departments. Knowledge-Based Systems. 2010;23(8):890-900.

Koutsantonis D., Panayiotopoulos J. C. Expert system personalized knowledge retrieval. Operations Research. 2011;11(2):215-27.

Kumar S. A knowledge based reliability engineering approach to manage product safety and recalls. Expert Systems with Applications. 2014;41(11):5323-39.

Lacave C., Oniśko A., Díez F. J. Use of Elvira’s explanation facility for debugging probabilistic expert systems. Knowledge-Based Systems. 2006;19(8):730-8.

Lee J., Davari H., Singh J., Pandhare V. Industrial Artificial Intelligence for industry 4.0-based manufacturing systems. Manufacturing Letters. 2018;18:20-3.

Lee J., Ma S. P., Lai L. F., Hsueh N. L., Fanjiang Y. Y. University timetabling through conceptual modeling. International Journal of Intelligent Systems. 2005;20(11):1137-60.

Li H., You J.-X., Liu H.-C., Tian G. Acquiring and sharing tacit knowledge based on Interval 2-Tuple linguistic assessments and extended fuzzy petri nets. International Journal of Uncertainty, Fuzziness and Knowledge-based Systems. 2018;26(01):43-65.

Lopez-Suarez A., Kamel M. DyKOr: a method for generating the content of explanations in knowledge systems. Knowledge-Based Systems. 1994;7(3):177-88.

Lu Y. Cyber Physical System (CPS)-Based Industry 4.0: A Survey. Journal of Industrial Integration and Management. 2017;7(3).

Matelli J. A. Conceptual design of biomass-fired cogeneration plant through a knowledge-based system. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2016;38(2):535-49.

Matelli J. A., Bazzo E., Silva J. C. An expert system prototype for designing natural gas cogeneration plants. Expert Systems with Applications. 2009;36(4):8375-84.

Moradi M., Aghaie A., Hosseini M. Knowledge-collector agents: applying intelligent agents in marketing decisions with knowledge management approach. Knowledge-Based Systems. 2013;52:181-93.

Muniz Jr. J., Batista Jr. E. D., Loureiro G. Knowledge-based integrated Production Management Model applied to automotive companies. International Journal of Knowledge Management Studies. 2011;4(3):301-18.

Muniz Jr. J., Trzesniak P., Batista Jr. E. D. An definitive concept to knowledge management: need to science evolution and effectiveness application. Emerging topics and methodologies challenges in production engineering: cases, experiences and propositions. 2009;2:137-45.

Nakano D., Muniz Jr. J., Dias Batista Jr E. Engaging environments: tacit knowledge sharing on the shop floor. Journal of Knowledge Management. 2013;17(2):290-306.

Patil S. K., Kant R. A fuzzy AHP-TOPSIS framework for ranking the solutions of Knowledge Management adoption in Supply Chain to overcome its barriers. Expert Systems with Applications. 2014;41(2):679-93.

Prinz C., Morlock F., Freith S., Kreggenfeld N., Kreimeier D., Kuhlenkötter B. Learning factory modules for smart factories in Industrie 4.0. Procedia CIRP. 2016;54:113-8.

Rivas A., Martin L., Prieto J., González-Briones A. Semantic analysis system for industry 4.0.. Knowledge Management in Organizations. KMO 2018. Communications in Computer and Information Science. 2018;877.

Ruiz-Mezcua B., Garcia-Crespo A., Lopez-Cuadrado J. L., Gonzalez-Carrasco I. An expert system development tool for non AI experts. Expert Systems with Applications. 2011;38(1):597-609.

Rüßmann M., Lorenz M., Gerbert P., Waldner M., Justus J., Engel P., Harnisch M. Industry 4.0: the future of productivity and growth in manufacturing industries. 2015;9(1):54-89.

Shamim S., Cang S., Yu H., Li Y. Management approaches for Industry 4.0: a human resource management perspective.. 2016:5309-16.

Shiue W., Li S. T., Chen K. J. A frame knowledge system for managing financial decision knowledge. Expert Systems with Applications. 2008;35(3):1068-79.

Sié L., Yakhlef A. Passion and expertise knowledge transfer. Journal of Knowledge Management. 2009;13(4):175-86.

Silva J. C., Matelli J. A., Bazzo E. Development of a knowledge-based system for cogeneration plant design: verification, validation and lessons learned. Knowledge-Based Systems. 2014;67:230-43.

Vacik H., Torresan C., Hujala T., Khadka C., Reynolds K. The role of knowledge management tools in supporting sustainable forest management. Forest Systems. 2013;22(3):442-55.

Van Hinte T., Gunton T. I., Day J. C. Evaluation of the assessment process for major projects: A case study of oil and gas pipelines in Canada. Impact Assessment and Project Appraisal. 2007;25(2):123-37.

Vihinen M., Samarghitean C. Medical expert systems. Current Bioinformatics. 2008;3(1):56-65.

Viliam L., Michal V. The expert system as a proposal for creating innovative strategy. Journal of Competitiveness. 2010;2:47-57.

Wagner W. P. Trends in expert system development: a longitudinal content analysis of over thirty years of expert system case studies. Expert Systems with Applications. 2017;76:85-96.

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