This diploma thesis deals with the maintenance and diagnostic failure conditions for machine tools. It is focused on the selection of appropriate methods of technical diagnostic state for machine tools in company SMC Vyškov. As part of the system design and proactive maintenance measurement methodology machine tools.

Integrated Logistics Support (ILS) is a tool that ensures the operation and longevity of products and systems throughout their lifecycle. The method structures logistics support activities and yields results that simplify, prevent, or mitigate risk areas, ultimately aiming to minimize lifecycle costs. ILS was developed within the defense industry, but its use in the civilian sector is still limited, indicating untapped potential. The purpose of the research is to investigate the process of ILS implementation and the potential benefits it could bring to the civilian industry. The emphasis is on comprehending the process and methodically developing guidelines that organizations can adopt. This purpose is achieved through an initial literature review examining integrated logistics support. The ideas are then implemented in a case study to demonstrate the process and generate improvement strategies. Based on the case study, the conclusion is drawn that the method achieves the desired effects. A generalized methodology is presented, which can be utilized by civilian companies and organizations.

Offshore oil and gas exploitation is principally conducted using dry or wet tree systems, otherwise called the subsea Xmas tree system. Due to the shift to deeper waters, subsea production system (SPS) has come to be a preferred technology with attendant economic benefits. At the centre of the SPS is the subsea control module (SCM), responsible for the proper functioning and monitoring of the entire system. With increasing search for hydrocarbons in deep and ultra-deepwaters, the SCM system faces important environmental, safety and reliability challenges and little research has been done in this area. Analysis of the SCM reliability then becomes very fundamental due to the huge cost associated with failure. Several tools are available for this analysis, but the FMECA stands out due to its ability to not only provide failure data, but also showcase the system’s failure modes and mechanisms associated with the subsystems and components being evaluated. However, the technique has been heavily challenged in various literatures for several reasons. To close this gap, a novel multi-criteria approach is developed for the analysis and ranking of the SCM failures modes. This research specifically focusses on subsea tree-mounted electro-hydraulic (E-H) SCM responsible for the underwater control of oil and gas production. A risk identification of the subsea control module is conducted using industry experts. This is followed by a comprehensive component based FMECA analysis of the SCM conducted with the conventional RPN technique, which reveals the most critical failure modes for the SCM. A novel framework is developed using multi-criteria fuzzy TOPSIS methodology and applied to the most critical failure modes obtained from the FMECA evaluation using unconventional parameters. Finally, a validation of these results is performed using a stochastic input evaluation and SCM failure data obtained from the offshore industry standard reliability database, OREDA.

Offshore oil and gas exploitation is principally conducted using dry or wet tree systems, otherwise called the subsea Xmas tree system. Due to the shift to deeper waters, subsea production system (SPS) has come to be a preferred technology with attendant economic benefits. At the centre of the SPS is the subsea control module (SCM), responsible for the proper functioning and monitoring of the entire system. With increasing search for hydrocarbons in deep and ultra-deepwaters, the SCM system faces important environmental, safety and reliability challenges and little research has been done in this area. Analysis of the SCM reliability then becomes very fundamental due to the huge cost associated with failure. Several tools are available for this analysis, but the FMECA stands out due to its ability to not only provide failure data, but also showcase the system’s failure modes and mechanisms associated with the subsystems and components being evaluated. However, the technique has been heavily challenged in various literatures for several reasons. To close this gap, a novel multi-criteria approach is developed for the analysis and ranking of the SCM failures modes. This research specifically focusses on subsea tree-mounted electro-hydraulic (E-H) SCM responsible for the underwater control of oil and gas production. A risk identification of the subsea control module is conducted using industry experts. This is followed by a comprehensive component based FMECA analysis of the SCM conducted with the conventional RPN technique, which reveals the most critical failure modes for the SCM. A novel framework is developed using multi-criteria fuzzy TOPSIS methodology and applied to the most critical failure modes obtained from the FMECA evaluation using unconventional parameters. Finally, a validation of these results is performed using a stochastic input evaluation and SCM failure data obtained from the offshore industry standard reliability database, OREDA.

This degree project is divided into two subprojects. Both of the projects are executed for Fogmaker, a company that specialises in designing and installing fire suppression systems in engine compartments. These projects are executed according to product development methods. The first subproject described in this report is about designing a handle for the transportation of a 35kg weighing fire extinguisher. The handle functions as a safety seal and as a grip that makes it easier and safer to lift the fire extinguisher. A casted zinc T-handle is the best solution based on cost and AHP (Analytic Hierarchy Process) analysis. An FMECA (Failure Mode Effect and Criticality Analysis) and a FEM (Finite Element Method) study have been performed to verify the design. A zinc prototype of the safety handle has been manufactured and is ready for testing. It is expected that 10.000 handles will be produced every year once this prototype is approved by Fogmaker. The second subproject concerns a connection hub placed on a pressurized bottle. In order to make the fire suppression system more reliable this component needs to be redesigned. An external company with the required expertise in hydraulic systems will develop the connection hub in cooperation with Fogmaker, based on the conceptual designs described in this report. An FMECA of the new connection hub concept proves this redesign increases the safety of the system. The overlying subject of both of these projects is the safety of the fire suppression system. Thanks to the accomplishment of both project, the system has become safer and more reliable.

abstract: This is a two-part thesis: Part 1 characterizes soiling losses using various techniques to understand the effect of soiling on photovoltaic modules. The higher the angle of incidence (AOI), the lower will be the photovoltaic (PV) module performance. Our research group has already reported the AOI investigation for cleaned modules of five different technologies with air/glass interface. However, the modules that are installed in the field would invariably develop a soil layer with varying thickness depending on the site condition, rainfall and tilt angle. The soiled module will have the air/soil/glass interface rather than air/glass interface. This study investigates the AOI variations on soiled modules of five different PV technologies. It is demonstrated that AOI effect is inversely proportional to the soil density. In other words, the power or current loss between clean and soiled modules would be much higher at a higher AOI than at a lower AOI leading to excessive energy production loss of soiled modules on cloudy days, early morning hours and late afternoon hours. Similarly, the spectral influence of soil on the performance of the module was investigated through reflectance and transmittance measurements. It was observed that the reflectance and transmittances losses vary linearly with soil density variation and the 600-700 nm band was identified as an ideal band for soil density measurements. Part 2 of this thesis performs statistical risk analysis for a power plant through FMECA (Failure Mode, Effect, and Criticality Analysis) based on non-destructive field techniques and count data of the failure modes. Risk Priority Number is used for the grading guideline for criticality analysis. The analysis was done on a 19-year-old power plant in cold-dry climate to identify the most dominant failure and degradation modes. In addition, a comparison study was done on the current power plant (framed) along with another 18-year-old (frameless) from the same climate zone to understand the failure modes for cold-dry climatic condition. / Dissertation/Thesis / Masters Thesis Engineering 2015

Abstract   The permit application process for offshore wind farms (OWF) in Sweden conceivably requires a comprehensive and transparent complement within risk management. The NETEP framework (covering risks concerning navigation, economics, technology, environment and politics), based on a futures planning mechanism (STEEP) has consequently been brought forward as a structure for the application of FMECA (Failure Mode, Effects, and Criticality Analysis) methodology to the permit application process of the Swedish offshore wind farm sector. FMECA, originating from the aeronautical and automobile industries, presents a systematic method for the prediction of future failure in a product, part or process, to evaluate the consequences of that failure and to suggest possible measures for its mitigation or eradication. Its application to attitude and acceptance, safety and environmental effect remains, however, limited which creates the research gap for this thesis. Three Swedish offshore wind farm (OWF) projects in the Baltic Sea area (Lillgrund, Taggen and Trolleboda) were put forward as case studies for use in the evaluation of the proposed FMECA-NETEP methodology, which was approached in two stages. The first evaluation stage results showed that the model accommodates the precautionary principle, the consideration of stakeholder viewpoints, the mitigation of negative effects, the analysis of alternative sites, the observation of relevant legislation and the utilisation of contemporary research. In the subsequent stage of evaluation, the factor for incorporation into the adapted model was intra- and inter-sector cumulative impact. Results showed that positive cumulative impact cannot be illustrated by the model whereas neutral and negative cumulative impact can.  The model’s added value is that it facilitates decision making by providing a rigorous, transparent and structured methodology, the holistic approach of which provides a sound basis for the incorporation of contemporary research.

The logistics sector has been severely affected by recent societal crises. Simultaneously, there is a need for research on how to ensure civil logistics during crisis situations. This study aims to investigate how Integrated Logistic Support (ILS) can be utilized within the civil industry, with the intention of strengthening the logistic flow against potential societal crises. The goal of the study is to propose a framework for how the civil industry can implement ILS.  The study demonstrates how ILS can be applied to a product in the civil industry by compiling a structure consisting of an exploded view, a component list and a mapping of the product’s logistics chain. Subsequently, a critical flow was identified using a SWOT analysis, followed by determining the risks associated with the flow through an FMECA. The conclusion of the study is that ILS can strengthen a product’s logistics flow in anticipation of a potential crisis. The challenges with applying ILS to a logistics flow arise from the need to analyze each sub-flow to include all different risk scenarios. The recommendation for manufacturing companies is to review their logistics flows and subsequently engage in risk management as a preventive measure.

The Diploma thesis is focused on possibilities of an assessment of a hydraulic switchboard and its manufacturing process. Furthermore, it analyses methods individually which are suitable for quality assurance and production reliability, which are described in details. The follow-up work focuses more on the Statistical Process Control (SPC) method which is applicable in the early warning system and the Failure mode, effects, and criticality analysis (FMECA) method, applicable in the planning system. These two methods are further applied to the newly introduced process of machining the hydraulic switchboard as an effective tool not only for assessing the reliability of production, but also for its subsequent securing and maintaining in a relevant condition.

This thesis considers of process FMECA analysis that is applied to the process of implementation the information system in the bank. The theoretical part focuses on risk management and using of methods FMEA and FMECA. In the practical part of thesis is introduced the company, for that the process of implementation of the information system is designed. In addition the analysis of the external and internal environment in relaiton to the information system is made. The result of these analysis is SWOT analysis. Then the process of implementation the information system is described and FMECA analysis is performed. Based of the results of the analysis are designed appropriate measures that will eliminate the risks or that will reduce their impacts.