944 resultados para process improvement studies


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Software Repository Mining (MSR) is a research area that analyses software repositories in order to derive relevant information for the research and practice of software engineering. The main goal of repository mining is to extract static information from repositories (e.g. code repository or change requisition system) into valuable information providing a way to support the decision making of software projects. On the other hand, another research area called Process Mining (PM) aims to find the characteristics of the underlying process of business organizations, supporting the process improvement and documentation. Recent works have been doing several analyses through MSR and PM techniques: (i) to investigate the evolution of software projects; (ii) to understand the real underlying process of a project; and (iii) create defect prediction models. However, few research works have been focusing on analyzing the contributions of software developers by means of MSR and PM techniques. In this context, this dissertation proposes the development of two empirical studies of assessment of the contribution of software developers to an open-source and a commercial project using those techniques. The contributions of developers are assessed through three different perspectives: (i) buggy commits; (ii) the size of commits; and (iii) the most important bugs. For the opensource project 12.827 commits and 8.410 bugs have been analyzed while 4.663 commits and 1.898 bugs have been analyzed for the commercial project. Our results indicate that, for the open source project, the developers classified as core developers have contributed with more buggy commits (although they have contributed with the majority of commits), more code to the project (commit size) and more important bugs solved while the results could not indicate differences with statistical significance between developer groups for the commercial project

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In the search for productivity increase, industry has invested on the development of intelligent, flexible and self-adjusting method, capable of controlling processes through the assistance of autonomous systems, independently whether they are hardware or software. Notwithstanding, simulating conventional computational techniques is rather challenging, regarding the complexity and non-linearity of the production systems. Compared to traditional models, the approach with Artificial Neural Networks (ANN) performs well as noise suppression and treatment of non-linear data. Therefore, the challenges in the wood industry justify the use of ANN as a tool for process improvement and, consequently, add value to the final product. Furthermore, Artificial Intelligence techniques such as Neuro-Fuzzy Networks (NFNs) have proven effective, since NFNs combine the ability to learn from previous examples and generalize the acquired information from the ANNs with the capacity of Fuzzy Logic to transform linguistic variables in rules.

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In der Herstellung fester Darreichungsformen umfasst die Granulierung einen komplexen Teilprozess mit hoher Relevanz für die Qualität des pharmazeutischen Produktes. Die Wirbelschichtgranulierung ist ein spezielles Granulierverfahren, welches die Teilprozesse Mischen, Agglomerieren und Trocknen in einem Gerät vereint. Durch die Kombination mehrerer Prozessstufen unterliegt gerade dieses Verfahren besonderen Anforderungen an ein umfassendes Prozessverständnis. Durch die konsequente Verfolgung des PAT- Ansatzes, welcher im Jahre 2004 durch die amerikanische Zulassungsbehörde (FDA) als Guideline veröffentlicht wurde, wurde der Grundstein für eine kontinuierliche Prozessverbesserung durch erhöhtes Prozessverständnis, für Qualitätserhöhung und Kostenreduktion gegeben. Die vorliegende Arbeit befasste sich mit der Optimierung der Wirbelschicht-Granulationsprozesse von zwei prozesssensiblen Arzneistoffformulierungen, unter Verwendung von PAT. rnFür die Enalapril- Formulierung, einer niedrig dosierten und hochaktiven Arzneistoffrezeptur, wurde herausgefunden, dass durch eine feinere Zerstäubung der Granulierflüssigkeit deutlich größere Granulatkörnchen erhalten werden. Eine Erhöhung der MassRatio verringert die Tröpfchengröße, dies führt zu größeren Granulaten. Sollen Enalapril- Granulate mit einem gewünschten D50-Kornverteilung zwischen 100 und 140 um hergestellt werden, dann muss die MassRatio auf hohem Niveau eingestellt werden. Sollen Enalapril- Granulate mit einem D50- Wert zwischen 80 und 120µm erhalten werden, so muss die MassRatio auf niedrigem Niveau eingestellt sein. Anhand der durchgeführten Untersuchungen konnte gezeigt werden, dass die MassRatio ein wichtiger Parameter ist und zur Steuerung der Partikelgröße der Enalapril- Granulate eingesetzt werden kann; unter der Voraussetzung dass alle anderen Prozessparameter konstant gehalten werden.rnDie Betrachtung der Schnittmengenplots gibt die Möglichkeit geeignete Einstellungen der Prozessparameter bzw. Einflussgrößen zu bestimmen, welche dann zu den gewünschten Granulat- und Tabletteneigenschaften führen. Anhand der Lage und der Größe der Schnittmenge können die Grenzen der Prozessparameter zur Herstellung der Enalapril- Granulate bestimmt werden. Werden die Grenzen bzw. der „Design Space“ der Prozessparameter eingehalten, kann eine hochwertige Produktqualität garantiert werden. rnUm qualitativ hochwertige Enalapril Tabletten mit der gewählten Formulierung herzustellen, sollte die Enalapril- Granulation mit folgenden Prozessparametern durchgeführt werden: niedrige Sprührate, hoher MassRatio, einer Zulufttemperatur von mindestens > 50 °C und einer effektiven Zuluftmenge < 180 Nm³/h. Wird hingegen eine Sprührate von 45 g/min und eine mittlere MassRatio von 4.54 eingestellt, so muss die effektive Zuluftmenge mindestens 200 Nm³/h und die Zulufttemperatur mindestens 60 °C betragen, um eine vorhersagbar hohe Tablettenqualität zu erhalten. Qualität wird in das Arzneimittel bereits während der Herstellung implementiert, indem die Prozessparameter bei der Enalapril- Granulierung innerhalb des „Design Space“ gehalten werden.rnFür die Metformin- Formulierung, einer hoch dosierten aber wenig aktiven Arzneistoffrezeptur wurde herausgefunden, dass sich der Wachstumsmechanismus des Feinanteils der Metformin- Granulate von dem Wachstumsmechanismus der D50- und D90- Kornverteilung unterscheidet. Der Wachstumsmechanismus der Granulate ist abhängig von der Partikelbenetzung durch die versprühten Flüssigkeitströpfchen und vom Größenverhältnis von Partikel zu Sprühtröpfchen. Der Einfluss der MassRatio ist für die D10- Kornverteilung der Granulate vernachlässigbar klein. rnMit Hilfe der Störgrößen- Untersuchungen konnte eine Regeleffizienz der Prozessparameter für eine niedrig dosierte (Enalapril)- und eine hoch dosierte (Metformin) Arzneistoffformulierung erarbeitet werden, wodurch eine weitgehende Automatisierung zur Verringerung von Fehlerquellen durch Nachregelung der Störgrößen ermöglicht wird. Es ergibt sich für die gesamte Prozesskette ein in sich geschlossener PAT- Ansatz. Die Prozessparameter Sprührate und Zuluftmenge erwiesen sich als am besten geeignet. Die Nachregelung mit dem Parameter Zulufttemperatur erwies sich als träge. rnFerner wurden in der Arbeit Herstellverfahren für Granulate und Tabletten für zwei prozesssensible Wirkstoffe entwickelt. Die Robustheit der Herstellverfahren gegenüber Störgrößen konnte demonstriert werden, wodurch die Voraussetzungen für eine Echtzeitfreigabe gemäß dem PAT- Gedanken geschaffen sind. Die Kontrolle der Qualität des Produkts findet nicht am Ende der Produktions- Prozesskette statt, sondern die Kontrolle wird bereits während des Prozesses durchgeführt und basiert auf einem besseren Verständnis des Produktes und des Prozesses. Außerdem wurde durch die konsequente Verfolgung des PAT- Ansatzes die Möglichkeit zur kontinuierlichen Prozessverbesserung, zur Qualitätserhöhung und Kostenreduktion gegeben und damit das ganzheitliche Ziel des PAT- Gedankens erreicht und verwirklicht.rn

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Biofuels are an increasingly important component of worldwide energy supply. This research aims to understand the pathways and impacts of biofuels production, and to improve these processes to make them more efficient. In Chapter 2, a life cycle assessment (LCA) is presented for cellulosic ethanol production from five potential feedstocks of regional importance to the upper Midwest - hybrid poplar, hybrid willow, switchgrass, diverse prairie grasses, and logging residues - according to the requirements of Renewable Fuel Standard (RFS). Direct land use change emissions are included for the conversion of abandoned agricultural land to feedstock production, and computer models of the conversion process are used in order to determine the effect of varying biomass composition on overall life cycle impacts. All scenarios analyzed here result in greater than 60% reduction in greenhouse gas emissions relative to petroleum gasoline. Land use change effects were found to contribute significantly to the overall emissions for the first 20 years after plantation establishment. Chapter 3 is an investigation of the effects of biomass mixtures on overall sugar recovery from the combined processes of dilute acid pretreatment and enzymatic hydrolysis. Biomass mixtures studied were aspen, a hardwood species well suited to biochemical processing; balsam, a high-lignin softwood species, and switchgrass, an herbaceous energy crop with high ash content. A matrix of three different dilute acid pretreatment severities and three different enzyme loading levels was used to characterize interactions between pretreatment and enzymatic hydrolysis. Maximum glucose yield for any species was 70% oftheoretical for switchgrass, and maximum xylose yield was 99.7% of theoretical for aspen. Supplemental β-glucosidase increased glucose yield from enzymatic hydrolysis by an average of 15%, and total sugar recoveries for mixtures could be predicted to within 4% by linear interpolation of the pure species results. Chapter 4 is an evaluation of the potential for producing Trichoderma reesei cellulose hydrolases in the Kluyveromyces lactis yeast expression system. The exoglucanases Cel6A and Cel7A, and the endoglucanase Cel7B were inserted separately into the K. lactis and the enzymes were analyzed for activity on various substrates. Recombinant Cel7B was found to be active on carboxymethyl cellulose and Avicel powdered cellulose substrates. Recombinant Cel6A was also found to be active on Avicel. Recombinant Cel7A was produced, but no enzymatic activity was detected on any substrate. Chapter 5 presents a new method for enzyme improvement studies using enzyme co-expression and yeast growth rate measurements as a potential high-throughput expression and screening system in K. lactis yeast. Two different K. lactis strains were evaluated for their usefulness in growth screening studies, one wild-type strain and one strain which has had the main galactose metabolic pathway disabled. Sequential transformation and co-expression of the exoglucanase Cel6A and endoglucanase Cel7B was performed, and improved hydrolysis rates on Avicel were detectable in the cell culture supernatant. Future work should focus on hydrolysis of natural substrates, developing the growth screening method, and utilizing the K. lactis expression system for directed evolution of enzymes.

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This paper aims to obtain a baseline snapshot of the requirement management process using a two-stage questionnaire to identify both performed and non-performed CMMI practices. The questionnaire proposed in this paper may help with the assessment of the requirement management process, provide useful information related to the current state of the process, and indicate those practices that require immediate attention with the aim of begin a Software Process Improvement program.

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In the last decades accumulated clinical evidence has proven that intra-operative radiation therapy (IORT) is a very valuable technique. In spite of that, planning technology has not evolved since its conception, being outdated in comparison to current state of the art in other radiotherapy techniques and therefore slowing down the adoption of IORT. RADIANCE is an IORT planning system, CE and FDA certified, developed by a consortium of companies, hospitals and universities to overcome such technological backwardness. RADIANCE provides all basic radiotherapy planning tools which are specifically adapted to IORT. These include, but are not limited to image visualization, contouring, dose calculation algorithms-Pencil Beam (PB) and Monte Carlo (MC), DVH calculation and reporting. Other new tools, such as surgical simulation tools have been developed to deal with specific conditions of the technique. Planning with preoperative images (preplanning) has been evaluated and the validity of the system being proven in terms of documentation, treatment preparation, learning as well as improvement of surgeons/radiation oncologists (ROs) communication process. Preliminary studies on Navigation systems envisage benefits on how the specialist to accurately/safely apply the pre-plan into the treatment, updating the plan as needed. Improvements on the usability of this kind of systems and workflow are needed to make them more practical. Preliminary studies on Intraoperative imaging could provide an improved anatomy for the dose computation, comparing it with the previous pre-plan, although not all devices in the market provide good characteristics to do so. DICOM.RT standard, for radiotherapy information exchange, has been updated to cover IORT particularities and enabling the possibility of dose summation with external radiotherapy. The effect of this planning technology on the global risk of the IORT technique has been assessed and documented as part of a failure mode and effect analysis (FMEA). Having these technological innovations and their clinical evaluation (including risk analysis) we consider that RADIANCE is a very valuable tool to the specialist covering the demands from professional societies (AAPM, ICRU, EURATOM) for current radiotherapy procedures.

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This collection of papers records a series of studies, carried out over a period of some 50 years, on two aspects of river pollution control - the prevention of pollution by sewage biological filtration and the monitoring of river pollution by biological surveillance. The earlier studies were carried out to develop methods of controlling flies which bred in the filters and caused serious nuisance and possible public health hazard, when they dispersed to surrounding villages. Although the application of insecticides proved effective as an alleviate measure, because it resulted in only a temporary disturbance of the ecological balance, it was considered ecologically unsound as a long-term solution. Subsequent investigations showed that the fly populations in filters were largely determined by the amount of food available to the grazing larval stage in the form of filter film. It was also established that the winter deterioration in filter performance was due to the excessive accumulation of film. Subsequent investigations were therefore carried out to determine the factors responsible for the accumulation of film in different types of filter. Methods of filtration which were considered to control film accumulation by increasing the flushing action of the sewage, were found to control fungal film by creating nutrient limiting conditions. In some filters increasing the hydraulic flushing reduced the grazing fauna population in the surface layers and resulted in an increase in film. The results of these investigations were successfully applied in modifying filters and in the design of a Double Filtration process. These studies on biological filters lead to the conclusion that they should be designed and operated as ecological systems and not merely as hydraulic ones. Studies on the effects of sewage effluents on Birmingham streams confirmed the findings of earlier workers justifying their claim for using biological methods for detecting and assessing river pollution. Further ecological studies showed the sensitivity of benthic riffle communities to organic pollution. Using experimental channels and laboratory studies the different environmental conditions associated with organic pollution were investigated. The degree and duration of the oxygen depletion during the dark hours were found to be a critical factor. The relative tolerance of different taxa to other pollutants, such as ammonia, differed. Although colonisation samplers proved of value in sampling difficult sites, the invertebrate data generated were not suitable for processing as any of the commonly used biotic indexes. Several of the papers, which were written by request for presentation at conferences etc., presented the biological viewpoint on river pollution and water quality issues at the time and advocated the use of biological methods. The information and experiences gained in these investigations was used as the "domain expert" in the development of artificial intelligence systems for use in the biological surveillance of river water quality.

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This paper outlines, using evidence from several case studies, the use of alternative forms of manufacturing strategy processes. Our investigation shows that the manufacturing strategy development practices of manufacturers are evolving in many directions; we found several alternatives to the formal top-down planning process. Manufacturers use one or more of the following alternatives with or without the top-down manufacturing strategy process: a coherent pattern of actions; manufacturing/process improvement programs; or the pursuit of core manufacturing capabilities. It appears that the various manufacturing strategy development processes may be tied to the strategic role of manufacturing in a company. This paper offers a framework that captures the relationship between the strategic role of manufacturing and the process of manufacturing strategy development. An in-depth case from a UK company illustrates the evolving forms of manufacturing strategy development processes.

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This paper examines the construction of a strategic plan as a communicative process. Drawing on Ricoeur’s concepts of decontextualization and recontextualization, we conceptualize strategic planning activities as being constituted through the iterative and recursive relationship of talk and text. Based on an in-depth case study, our findings show how multiple actors engage in a formal strategic planning process which is manifested in a written strategy document. This document is thus central in the iterative talk to text cycles. As individuals express their interpretations of the current strategic plan in talk, they are able to make amendments to the text, which then shape future textual versions of the plan. This cycle is repeated in a recursive process, in which the meanings attributed to talk and text increasingly converge within a final agreed plan. We develop our findings into a process model of the communication process that explains how texts become more authoritative over time and, in doing so, how they inscribe power relationships and social order within organizations. These findings contribute to the literature on strategic planning and on organization as a communication process.

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This paper explores potential benefits of closer interaction between metaphor studies and translation process research. It presents some developments within Translation Studies which make use of conceptual metaphor theory and illustrates some process research methods for investigating metaphors. The paper considers a number of methodological recommendations and argues that of greatest importance is the need to take full account of insights from metaphor studies and associated disciplines. Another important potential innovation is the use of a multilingual approach in respect of both product- and process-oriented studies in order to increase both the amount and generality of data available for analysis. Thirdly, it is important to extend and complement the current ST-oriented approach. The paper concludes by suggesting some options for triangulating data gathered through a combination of methods.

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The implementation of advanced manufacturing systems with high process capability is an essential requirement for the high value manufacturing industries. To ensure high process capability, industry needs to deal with the requirement for tight tolerances and the unavoidable variations in materials, and manufacturing and inspection processes. In the case of machining superalloys, such variations result in the need to change the machine parameters for producing different batches of materials from different suppliers. This is required in order to get the process under control and reduce waste and defects, leading to better competitiveness. This papers discuss the variability in materials and the corresponding process requirements when machining superalloys, and highlights the impact of metrology in achieving manufacturing process improvement.

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This dissertation develops a process improvement method for service operations based on the Theory of Constraints (TOC), a management philosophy that has been shown to be effective in manufacturing for decreasing WIP and improving throughput. While TOC has enjoyed much attention and success in the manufacturing arena, its application to services in general has been limited. The contribution to industry and knowledge is a method for improving global performance measures based on TOC principles. The method proposed in this dissertation will be tested using discrete event simulation based on the scenario of the service factory of airline turnaround operations. To evaluate the method, a simulation model of aircraft turn operations of a U.S. based carrier was made and validated using actual data from airline operations. The model was then adjusted to reflect an application of the Theory of Constraints for determining how to deploy the scarce resource of ramp workers. The results indicate that, given slight modifications to TOC terminology and the development of a method for constraint identification, the Theory of Constraints can be applied with success to services. Bottlenecks in services must be defined as those processes for which the process rates and amount of work remaining are such that completing the process will not be possible without an increase in the process rate. The bottleneck ratio is used to determine to what degree a process is a constraint. Simulation results also suggest that redefining performance measures to reflect a global business perspective of reducing costs related to specific flights versus the operational local optimum approach of turning all aircraft quickly results in significant savings to the company. Savings to the annual operating costs of the airline were simulated to equal 30% of possible current expenses for misconnecting passengers with a modest increase in utilization of the workers through a more efficient heuristic of deploying them to the highest priority tasks. This dissertation contributes to the literature on service operations by describing a dynamic, adaptive dispatch approach to manage service factory operations similar to airline turnaround operations using the management philosophy of the Theory of Constraints.

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Background Patient safety is concerned with preventable harm in healthcare, a subject that became a focus for study in the UK in the late 1990s. How to improve patient safety, presented both a practical and a research challenge in the early 2000s, leading to the eleven publications presented in this thesis. Research question The overarching research question was: What are the key organisational and systems factors that impact on patient safety, and how can these best be researched? Methods Research was conducted in over 40 acute care organisations in the UK and Europe between 2006 and 2013. The approaches included surveys, interviews, documentary analysis and non-participant observation. Two studies were longitudinal. Results The findings reveal the nature and extent of poor systems reliability and its effect on patient safety; the factors underpinning cases of patient harm; the cultural issues impacting on safety and quality; and the importance of a common language for quality and safety across an organisation. Across the publications, nine key organisational and systems factors emerged as important for patient safety improvement. These include leadership stability; data infrastructure; measurement capability; standardisation of clinical systems; and creating an open and fair collective culture where poor safety is challenged. Conclusions and contribution to knowledge The research presented in the publications has provided a more complete understanding of the organisation and systems factors underpinning safer healthcare. Lessons are drawn to inform methods for future research, including: how to define success in patient safety improvement studies; how to take into account external influences during longitudinal studies; and how to confirm meaning in multi-language research. Finally, recommendations for future research include assessing the support required to maintain a patient safety focus during periods of major change or austerity; the skills needed by healthcare leaders; and the implications of poor data infrastructure.