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Knowledge Criticality Assessment and Codification Framework for Major Maintenance Activities: A Case Study of Cement Rotary Kiln Plant

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  • Lilian. O. Iheukwumere-Esotu

    (Department of Mechanical, Aerospace and Civil Engineering, University of Manchester, Oxford Road, Manchester M13 9PL, UK)

  • Akilu Yunusa-Kaltungo

    (Department of Mechanical, Aerospace and Civil Engineering, University of Manchester, Oxford Road, Manchester M13 9PL, UK)

Abstract

Maintenance experts involved in managing major maintenance activities such as; Major overhauls, outages, shutdowns and turnarounds (MoOSTs) are constantly faced with uncertainties during the planning and/or execution phases, which often stretches beyond the organisation’s standard operating procedures and require the intervention of staff expertise. This underpins a need to complement and sustain existing efforts in managing uncertainties in MoOSTs through the transformation of knowledgeable actions generated from experts’ tacit-based knowledge. However, a vital approach to achieve such transformation is by prioritising maintenance activities during MoOSTs. Two methods for prioritising maintenance activities were adopted in this study; one involved a traditional qualitative method for task criticality assessment. The other, a quantitative method, utilised a Fuzzy inference system, mapping membership functions of two crisp inputs and output accompanied by If-Then rules specifically developed for this study. Prior information from a 5-year quantitative dataset was obtained from a case study with appreciable frequency for performing MoOSTs; in this case, a Rotary Kiln system (RKS) was utilised in demonstrating practical applicability. The selection of the two methods was informed by their perceived suitability to adequately analyse the available dataset. Results and analysis of the two methods indicated that the obtained Fuzzy criticality numbers were more sensitive and capable of examining the degree of changes to membership functions. However, the usefulness of the traditional qualitative method as a complementary approach lies in its ability to provide a baseline for informing expert opinions, which are critical in developing specific If-Then rules for the Fuzzy inference system.

Suggested Citation

  • Lilian. O. Iheukwumere-Esotu & Akilu Yunusa-Kaltungo, 2021. "Knowledge Criticality Assessment and Codification Framework for Major Maintenance Activities: A Case Study of Cement Rotary Kiln Plant," Sustainability, MDPI, vol. 13(9), pages 1-21, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:9:p:4619-:d:540542
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    References listed on IDEAS

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    Cited by:

    1. Dania K. Abideen & Akilu Yunusa-Kaltungo & Patrick Manu & Clara Cheung, 2022. "A Systematic Review of the Extent to Which BIM Is Integrated into Operation and Maintenance," Sustainability, MDPI, vol. 14(14), pages 1-55, July.
    2. Xiangang Cao & Pengfei Li & Song Ming, 2021. "Remaining Useful Life Prediction-Based Maintenance Decision Model for Stochastic Deterioration Equipment under Data-Driven," Sustainability, MDPI, vol. 13(15), pages 1-19, July.
    3. Lilian Ogechi Iheukwumere-Esotu & Akilu Yunusa-Kaltungo, 2022. "Development of an Interactive Web-Based Knowledge Management Platform for Major Maintenance Activities: Case Study of Cement Manufacturing System," Sustainability, MDPI, vol. 14(17), pages 1-23, September.
    4. Aisha Sa’ad & Aimé C. Nyoungue & Zied Hajej, 2021. "Improved Preventive Maintenance Scheduling for a Photovoltaic Plant under Environmental Constraints," Sustainability, MDPI, vol. 13(18), pages 1-22, September.

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