Search for dissertations about: "maintenance reliability improvement"
Showing result 21 - 25 of 67 swedish dissertations containing the words maintenance reliability improvement.
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21. Exploring Trends, Patterns and Characteristics of Quality Management Through Text Mining
Abstract : At frequent intervals, new reports and papers are published stressing the importance of high quality and quality improvement measures in the public and private sector if Sweden is to survive as a welfare state and industrial nation. The situation seems not to be unique for Sweden: similar opinions can be heard in other parts of the world as well. READ MORE
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22. TQM as a support for societal development : a tentative model based on experiences from a Swedish community
Abstract : This thesis is a case study of how Total Quality Management (TQM) is used in the Åseda community in southern Sweden, in order to support societal development. The improvement work is conducted within a third sector association built on voluntary engagement. READ MORE
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23. Development of user information products for complex technical systems
Abstract : Interaction with technological systems is an intrinsic part of daily life. The complexity of these man-made systems has reached unprecedented levels, and challenges the organizations that create and utilize them. At the same time they are often used in environments which imply very high requirements on safety, credibility, and reliability. READ MORE
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24. Total quality management for sustainable development : focus on processes
Abstract : The purpose of this thesis is to study how synergies of Total Quality Management (TQM) and Sustainable Development (SD) can be realized. Emphasis has been on increasing the focus on processes. A process based change model for SD has been developed. READ MORE
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25. From data collection to electric grid performance : How can data analytics support asset management decisions for an efficient transition toward smart grids?
Abstract : Physical asset management in the electric power sector encompasses the scheduling of the maintenance and replacement of grid components, as well as decisions about investments in new components. Data plays a crucial role in these decisions. READ MORE