Offer process optimization

Tato diplomová práce se zabývá optimalizací nabídkového procesu. Popisuje praktické využití mapování hodnotového toku metodou VSM – value stream mapping za úcelem predevším ekonomických úspor. Dále seznamuje se tremi zpusoby pohledu, kterými je vhodné nahlížet na veškeré procesy, chceme-li v nich provádet nejaké zmeny. Analyzuje problémy na všech trech úrovních a následne popisuje rešení, která by tyto problémy mela odstranit a zlepšit efektivitu celého procesu. Záver diplomové práce patrí zhodnocení realizovaných rešení a prípadných doporucení do budoucna.This master’s thesis concerns optimization of quotation process. It describes mapping of value stream by VSM Method (value stream mapping) in practical way in order to minimize cost. Further on it describes three points of view method when surveying and modifying process. It analyses process on three levels and describes suitable solution which makes process smoother and more effective. At the conclusion of this diploma project belongs evaluation of realised solutions and measures that need to be taken in future.

Discharge Process Optimization

As the demands of the nurse become increased with higher acuity and documentation requirements, the delivery of discharge instructions is often one of the most, and at times, only, formal education opportunities between the nurse and the patient. It is imperative to modify the discharge process to ensure patients have the ability to confidently care for themselves after they leave the hospital. The aim of this project was to create a nursing discharge workflow that meets the educational needs of the patients. This project was a quality improvement project designed to change the nursing workflow to provide a better discharge process for patients. Staff were educated on the process by creating an interactive module. The conclusion was that the discharge process workflow was effective in increasing patient satisfaction scores related to the discharge process, however ineffective in increasing overall patient satisfaction scores for the organization. The two main limitations were related to the data collected and the impact on nursing staff. The NRC patient satisfaction data is not specific to discharge process. Additionally, the COVID-19 pandemic created challenges for healthcare workers nation-wide during the timeframe this project was implemented. It is important for healthcare to keep adapting to create a discharge process that engages patients and allows them a better understanding of their plan of care. The results suggest that implementing a standard discharge process may increase aspects of patient satisfaction, however will likely not drive overall satisfaction of the organization

Process Optimization and Downscaling of a Single Electron Single Dot Memory

This paper presents the process optimization of a single-electron nanoflash electron memory. Self-aligned single dot memory structures have been fabricated using a wet anisotropic oxidation of a silicon nanowire. One of the main issue was to clarify the process conditions for the dot formation. Based on the process modeling, the influence of various parameters (oxidation temperature, nanowire shape) has been investigated. The necessity of a sharp compromise between these different parameters to ensure the presence of the memory dot has been established. In order to propose an aggressive memory cell, the downscaling of the device has been carefully studied. Scaling rules show that the size of the original device could be reduced by a factor of 2. This point has been previously confirmed by the realization of single-electron memory devices

Solder Wave Process Optimization

Tato práce se zabývá procesem strojního pájení vlnou a jeho optimalizací. Seznamuje nás s pájením vlnou a popisuje jeho dílčí části. Dále je zde popsáno rozdělení tavidel a jejich vlastnosti. V praktické části je popsáno zkoumání defektů na DPS a analýza možných příčin defektů, měření hmotnosti nanášeného tavidla a měření teplotního profilu.This work describes solder wave process and it‘s optimalization. It informs us about wave soldering and describes it’s fragments. Next it is described partition of fluxes and their properties. In practical part is described researching of defects on PCB’s and analysis of possible reason of defects, measurement of the weight of sprayed flux and measurement of solderable profile.

Application of flexible recipes for model building, batch process optimization and control

Unlike the traditionally fixed recipes in batch process operation, flexible recipes allow the adjustment of some of its relevant recipe items. These adjustments can either be predefined in cases of planned experimentation, or suggested by a formal process optimization or control algorithm on the basis of actual information. In both the response surface methodology and the simplex evolutionary operation (EVOP), some well-known methods for empirical model building and process optimization, flexible recipes are involved. Another application of flexible recipes arises in a feedforward quality control strategy of batch processes when variations in market or process conditions are known a priori. The experimental results of these strategies are presented for the batchwise production of benzylalcohol on a pilotplant scale. Experiments have been performed to obtain a reliable model of the yield. On the basis of this model, better process conditions have been suggested, which substantially deviate from the final simplex resulted from experiments within simplex EVOP. Finally, an adaptive feedforward control strategy has been applied for a priori known disturbances in the process inputs

Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design

Many applications require optimizing an unknown, noisy function that is expensive to evaluate. We formalize this task as a multi-armed bandit problem, where the payoff function is either sampled from a Gaussian process (GP) or has low RKHS norm. We resolve the important open problem of deriving regret bounds for this setting, which imply novel convergence rates for GP optimization. We analyze GP-UCB, an intuitive upper-confidence based algorithm, and bound its cumulative regret in terms of maximal information gain, establishing a novel connection between GP optimization and experimental design. Moreover, by bounding the latter in terms of operator spectra, we obtain explicit sublinear regret bounds for many commonly used covariance functions. In some important cases, our bounds have surprisingly weak dependence on the dimensionality. In our experiments on real sensor data, GP-UCB compares favorably with other heuristical GP optimization approaches

Synthesis and process optimization of electrospun PEEK-sulfonated nanofibers by response surface methodology

In this study electrospun nanofibers of partially sulfonated polyether ether ketone have been produced as a preliminary step for a possible development of composite proton exchange membranes for fuel cells. Response surface methodology has been employed for the modelling and optimization of the electrospinning process, using a Box-Behnken design. The investigation, based on a second order polynomial model, has been focused on the analysis of the effect of both process (voltage, tip-to-collector distance, flow rate) and material (sulfonation degree) variables on the mean fiber diameter. The final model has been verified by a series of statistical tests on the residuals and validated by a comparison procedure of samples at different sulfonation degrees, realized according to optimized conditions, for the production of homogeneous thin nanofibers