The aim of the thesis is to suggest recommendation to optimize and increase efficiency in a process of catering ordering in a company Express Deli by using methods of lean six sigma. The work is built as real project od lean six sigma using some methods of the methodology lean six sigma. In the theoretical part of the thesis, methods of lean six sigma used in the practical part, are described. These methods are mainly methods of process mapping. Each chapter is a step of DMAIC methodology. Core part of the thesis is process mapping at a customer side, so in the other part there are all recommendations directly focused on customers requirements. The results of the work are suggested proposals for process improvement. Some of them were implemented during the project.

Please read the abstract in the section front of this document / Dissertation (MSc (Mathematical Statistics))--University of Pretoria, 2009. / Statistics / unrestricted

The substantial growth in the use of automated in-process sensing technologies creates great opportunities for manufacturers to detect abnormal manufacturing processes and identify the root causes quickly. It is critical to locate and distinguish two types of faults - process faults and sensor faults. The procedures to monitor and diagnose process and sensor mean shift faults are presented with the assumption that the manufacturing processes can be modeled by a linear fault-quality model. A W control chart is developed to monitor the manufacturing process and quickly detect the occurrence of the sensor faults. Since the W chart is insensitive to process faults, when it is combined with U chart, both process faults and sensor faults can be detected and distinguished. A unit-free index referred to as the sensitivity ratio (SR) is defined to measure the sensitivity of the W chart. It shows that the sensitivity of the W chart is affected by the potential influence of the sensor measurement. A Bayesian variable selection based fault diagnosis approach is presented to locate the root causes of the abnormal processes. A Minimal Coupled Pattern (MCP) and its degree are defined to denote the coupled structure of a system. When less than half of the faults within an MCP occur, which is defined as sparse faults, the proposed fault diagnosis procedure can identify the correct root causes with high probability. Guidelines are provided for the hyperparameters selection in the Bayesian hierarchical model. An alternative CML method for hyperparameters selection is also discussed. With the large number of potential process faults and sensor faults, an MCMC method, e.g. Metropolis-Hastings algorithm can be applied to approximate the posterior probabilities of candidate models. The monitor and diagnosis procedures are demonstrated and evaluate through an autobody assembly example.

This master's thesis focuses on using project management methods in implementation of Microsoft SharePoint 2013 product and creating intranet portal in Promokov a.s. At the beginning, thesis maps and describes actual situation by SLEPT analysis, SWOT analysis and analytic workshop made directly at the customer site. Last part is dedicated to the realization of recommended change.

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Master´s thesis focuses on the utilisation of project management methodology within the design of a project in a selected company. It specifies theoretical sources which are the key for the project plan proposal. It applies the theory to the project of introducing electronic commerce in the field of building material sale. The thesis containts the plan proposal and optimisation of the project in terms of time, costs and use of available resources, together with the analysis of a company environment.

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