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dc.contributor.advisorWichers, J.H.
dc.contributor.authorMadonsela, Alex Thulanien_US
dc.date.accessioned2012-09-10T16:21:03Z
dc.date.available2012-09-10T16:21:03Z
dc.date.issued2011en_US
dc.identifier.urihttp://hdl.handle.net/10394/7311
dc.descriptionThesis (M.Ing. (Development and Management Engineering))--North-West University, Potchefstroom Campus, 2012.
dc.description.abstractOrganizations are expected by their shareholders to continually deliver above industry returns on capital invested and to remain competitive in the industry of choice through productivity, safety and quality. The maintenance function is a key area in which competitiveness through efficiencies and world–class performance can be attained by focusing on the prevention and reduction of long and costly equipment repair times. The question is: how can the mean time to repair of equipment already installed in the plant be reduced? To answer the above question correctly and comprehensively, the research explored mixed methods in finding answers. Quantitative methodology using a survey was used for data collection. Observations and interviews were held with maintenance personnel to uncover information that couldn’t have been obtained by means of a survey. The survey was limited to equipment performance measures, human factors, environmental factors, planning, spare parts, maintainability, procedures and training. To test consistency and accuracy of representation of the total population under study, a reliability test was done by using Cronbach’s alpha coefficient. To determine whether there are any differences between groups, an ANOVA test was used. Cohen’s d–value was used to determine practically significant differences between one set of data with another and correlation analysis was used to determine the relationships between the variables. The approach designed and delivered by this research flowed from the existing body of knowledge, case studies and survey findings. The approach adopts some of the elements of the failure mode and effects analysis (FMEA) procedure and differs from other work that has been done by others by taking into account the competency and experience of maintenance personnel and assigning to them factors which are used to compute anew MTTR of the equipment. The cost of implementing the recommended corrective actions for realising the new MTTR is determined and evaluated against an improved equipment availability that will be achieved as a result of the recommended corrective actions assuming that the failure rate of the equipment remains constant. This evaluation step imbedded within the approach is valuable for the maintenance function and management for decision making in ensuring that resources at the organization’s disposal are used productively. Validation and test results of the approach showed that the MTTR of equipment installed in the plant can be reduced. The results also indicated that through the use of the designed approach a regular pattern of repair or replacement times can be followed well in advance and that it is practical, user friendly and it also delivers on its objective of offering a structure for analysis and decision making aimed at reducing the MTTR. Included with this dissertation is feedback information that can be included in a maintenance job card feedback section to capture information about factors that can be improved to lower the MTTR as part of a continuous improvement process. Included also is a spare part development and management procedure that can be used by the maintenance function. Recommendations on training of maintenance personnel on the maintainability of equipment, the FMEA procedure and maintenance procedures are highlighted. Information that flowed from this approach will be valuable for continuous plant performance improvement and during the design, installation and operation stages of a blast furnace.en_US
dc.publisherNorth-West University
dc.subjectMean time to repairen_US
dc.subjectReliabilityen_US
dc.subjectAvailabilityen_US
dc.subjectMaintainabilityen_US
dc.subjectMaintenance strategiesen_US
dc.subjectFailure mode and effects analysis (FMEA)en_US
dc.subjectBlast furnaceen_US
dc.subjectArcelorMittal South Africaen_US
dc.subjectTrainingen_US
dc.subjectProceduresen_US
dc.subjectSpare partsen_US
dc.subjectCompetencyen_US
dc.subjectExperienceen_US
dc.titleA structured approach for the reduction of mean time to repair of blast furnace D, ArcelorMittal, South Africa, Vanderbijlparken
dc.typeThesisen_US
dc.description.thesistypeMastersen_US


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