Modeling Of Effective Maintenance Function For Manufacturing Excellence Programme: A Case Of Manufacturing Industry In Sri Lanka

dc.contributor.advisorDeeghawature, MMDR
dc.contributor.authorDilanthi, MGS
dc.date.accept2013-02
dc.date.accessioned2014-08-12T09:59:15Z
dc.date.available2014-08-12T09:59:15Z
dc.date.issued2014-08-12
dc.description.abstractThe performance greatly affects the survival and prolonger life time of the manufacturing industry of Sri Lanka. In measuring the corresponding level of performance, the term “productivity” becomes vital. It entails updating the productivity improvement techniques in accordance with the technological advancements of the industry. Manufacturing Excellence programme has become the most updated version of productivity improvement technique. It enhances all the processes, people, goods and information within the work floor providing a good performance in achieving of a higher level of productivity. Since maintenance also has a strategic dimension, its performance measurement system should be linked to the espoused strategy of the function in order to get the maximum impact. It has been clearly recognized the presence of failures in former attempts of implementing productivity techniques due to the unidentified proper maintenance function. This research therefore attempts to develop a suitable maintenance function which describes the relationship between the performance of productivity improvement and different indicators of maintenance practices. Based on this conceptual framework built on successful review of literature related to the area concerned, it was decided to include six performance indicators of the maintenance process into the model. The required data to develop the model was acquired through a structured questionnaire. The model identified that the two significant performance indicators that influence the performance of productivity improvement technique are the extent of training and equipment failure responsiveness. The model was developed through step-wise regression procedure and it was confirmed by both forward selection and backward elimination procedure. As model was developed based on information from one organization it is suggested to develop similar models for other organizations as well.en_US
dc.identifier.accno104731en_US
dc.identifier.citationDilanthi, M.G.S. (2013). Modeling Of Effective Maintenance Function For Manufacturing Excellence Programme: A Case Of Manufacturing Industry In Sri Lanka [Master's theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.mrt.ac.lk/handle/123/10474
dc.identifier.degreeM.Sc.en_US
dc.identifier.departmentDepartment of Mathamaticsen_US
dc.identifier.facultyEngineeringen_US
dc.identifier.urihttp://dl.lib.mrt.ac.lk/handle/123/10474
dc.subjectProductivity Improvementen_US
dc.subjectManufacturing Excellence Programme
dc.subjectMaintenance Function
dc.subjectMaintenance Practices
dc.titleModeling Of Effective Maintenance Function For Manufacturing Excellence Programme: A Case Of Manufacturing Industry In Sri Lankaen_US
dc.typeThesis-Abstracten_US

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