Thematische Bibliographien / Maintainability model

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Auswahl der wissenschaftlichen Literatur zum Thema „Maintainability model“

Autor: Grafiati

Veröffentlicht am 15. Februar 2025

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Zeitschriftenartikel zum Thema "Maintainability model"

Liu, Tie Lin, und Cheng Zhang. „Study on Concurrent Maintainability Design Based on Pro/INTRALINK“. Applied Mechanics and Materials 470 (Dezember 2013): 452–55. http://dx.doi.org/10.4028/www.scientific.net/amm.470.452.

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In order to make product maintainable, maintainability engineering encourages sufficient focus on product maintenance at early development stage, and systematic maintainability design throughout product development and design. Maintainability and other life cycle aspects should be concurrently design into product. Integrated maintainability information model is established. Based on product assembly information model, the components of integrated maintainability information model, and how to integrate this model with design process model are discussed respectively. With Pro/INTRALINK as product data management platform, an integrated environment which supports concurrent maintainability design and its establishment steps are explored, including configuring basic environment, establishing master information model, defining and managing design flow, which provide and effective methods for concurrent maintainability design.

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Park, Mikyeong, und Euyseok Hong. „Classification model for maintainability prediction“. Contemporary Engineering Sciences 7 (2014): 1691–97. http://dx.doi.org/10.12988/ces.2014.411227.

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Meier, John R., und Jeffrey S. Russell. „Model Process for Implementing Maintainability“. Journal of Construction Engineering and Management 126, Nr. 6 (Dezember 2000): 440–50. http://dx.doi.org/10.1061/(asce)0733-9364(2000)126:6(440).

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Tarelko, Wieslaw. „Control model of maintainability level“. Reliability Engineering & System Safety 47, Nr. 2 (Januar 1995): 85–91. http://dx.doi.org/10.1016/0951-8320(94)00055-s.

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Liu, Hui, und Jian Ping Hao. „Study of the Model and Algorithm in Linear Programming of Maintainability Growth Project“. Applied Mechanics and Materials 271-272 (Dezember 2012): 1427–33. http://dx.doi.org/10.4028/www.scientific.net/amm.271-272.1427.

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In order to solve the planning problem of maintainability growth project, study of the model and algorithm in linear programming of maintainability growth project is put forward. Firstly, the linear relationship of factor and target as an example, the mathematical model of maintainability growth project planning is put forward in the article, and a general solution method is mentioned. Then according to the maintainability growth problem’s characteristic, the algorithm is improved. A solution method is brought out which is about simplex method with variable changed form 0 to 1- γi. This Algorithm makes the solution of maintainability growth project planning become much simpler than before.

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Yadav, Rohit, und Raghuraj Singh. „A Hyper-parameter Tuning based Novel Model for Prediction of Software Maintainability“. International Journal on Recent and Innovation Trends in Computing and Communication 11, Nr. 2 (10.03.2023): 106–13. http://dx.doi.org/10.17762/ijritcc.v11i2.6134.

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Software maintainability is regarded as one of the most important characteristics of any software system. In today's digital world, the expanding significance of software maintenance is motivating the development of efficient software maintainability prediction (SMP) models using statistical and machine learning methods. This study proposes a hyper-parameter optimizable Software Maintainability Prediction (HPOSMP) model using the hybridized approach of data balancing and hyper-parameter optimization of Machine Learning (ML) approach using software maintainability datasets. The training dataset has been created with object-oriented software namely UIMS and QUES. To balance the dataset, Synthetic Minority Oversampling Technique (SMOTE) technology has been adopted. Further, Decision Tree, Gaussian Naïve Bayes, K-Nearest neighbour, Logistic Regression, and Support Vector Machine are adopted as Machine Learning and Statistical Regression Techniques for training of software maintainability dataset. Results demonstrate that the proposed HPOSMP model gives better performance as compared to the base SMP models.

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Chen, Wen Hong, und Xiao Wei Wang. „A Way to Predict and Evaluate of Software Maintainability Based on Machine Learning“. Advanced Materials Research 926-930 (Mai 2014): 2924–27. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2924.

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The accurate maintainability prediction and evaluation of software applications can improve the designing management for these applications, thus benefiting designing organizations. Therefore, there is considerable research interest in development and application of sophisticated techniques which can be used to build models for both predicting and evaluating software maintainability. In this paper, we investigate some ideas based on Machine Learning, Natural Language Processing, Fuzzy Logic, and Systematic Model of Software Maintenance. The idea to compute Interactive Index and the maintainability of software system is useful to study the relation between maintainability prediction and maintainability evaluation in the whole software process. An model basing on fuzzy matrix and BP neural network is built up. It’s approved that there are application value of using this model based on BP neural network to predict and evaluate the software maintainability.

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De Silva, Nayanthara, Malik Ranasinghe und Chathura Ranjan De Silva. „Risk analysis in maintainability of high-rise buildings under tropical conditions using ensemble neural network“. Facilities 34, Nr. 1/2 (01.02.2016): 2–27. http://dx.doi.org/10.1108/f-05-2014-0047.

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Purpose – The aim of this research study is to develop a risk-based framework that can quantify maintainability to forecast future maintainability of a building at early stages as a decision tool to minimize increase of maintenance cost. Design/methodology/approach – A survey-based approach was used to explore the risk factors in the domain of maintainability risks under tropical environmental conditions. The research derived ten risk factors based on 58 identified causes related to maintainability issues as common to high-rise buildings in tropical conditions. Impact of these risk factors was evaluated using an indicator referred to as the “maintenance score (MS)” which was derived from the “whole-life maintenance cost” involved in maintaining the expected “performance” level of the building. Further, an ensemble neural network (ENN) model was developed to model the MS for evaluating maintainability risks in high-rise buildings. Findings – Results showed that predictions from the model were highly compatible and in the same order when compared with calculations based on actual past data. It further showed that, maintainability of buildings could be improved if the building was designed, constructed and managed properly by controlling their maintainability risks. Originality/value – The ENN model was used to analyze maintainability of a high-rise building. Thus, it provides a useful tool for designers, clients, facilities managers/maintenance managers and users to analyze maintainability risks of buildings at early stages.

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Wu, Jia Ju, Bing Ning Cao, Zheng Jing Wan und Ji Lan Zhang. „The Application of BP Neural Network to Comprehensive Assessment in Equipment Maintainance Support“. Applied Mechanics and Materials 190-191 (Juli 2012): 191–94. http://dx.doi.org/10.4028/www.scientific.net/amm.190-191.191.

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Equipment maintainability support is the most important influencing factor which affects weapon battle ability. Equipment maintainability support capability assessment result can be used as steering for equipment maintenance blue print configuration. Based on analysis of equipment maintenance support, maintenance scenario establish process is discussed in paper. Then neural network-based equipment maintainability support assessment model is established. BP dynamic neural network is applied in constructing model and the amelioration weight reset arithmetic is imported in equipment maintainability support assessment model. Finally, the steps of equipment maintenance support assessment are described. According to assessment arithmetic, equipment maintenance center computes assessment result. Equipment development department and army can optimize maintainability support scheme based on assessment result and maintain equipment.

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Zhu, Lian Jun, und Hua Cong. „The Prediction of the Maintainability of Armored Vehicle Engine Based on Failure Model Effectiveness Analysis“. Advanced Materials Research 988 (Juli 2014): 601–5. http://dx.doi.org/10.4028/www.scientific.net/amr.988.601.

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Maintainability is an important factor need to be considered in the strategy making process of armored vehicle engine. Combined with the factors analysis of the maintainability, fuzzy analytic hierarchy process (FAHP) is used to realize the reasonable evaluation of the engine maintainability based on failure model effectiveness analysis (FMEA) and the characteristic parameter test. The research provides a basis for the condition based maintenance of armored vehicle engine.

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Dissertationen zum Thema "Maintainability model"

Ghosheh, Emad. „A novel model for improving the maintainability of web-based systems“. Thesis, University of Westminster, 2010. https://westminsterresearch.westminster.ac.uk/item/905xy/a-novel-model-for-improving-the-maintainability-of-web-based-systems.

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Web applications incorporate important business assets and offer a convenient way for businesses to promote their services through the internet. Many of these web applica- tions have evolved from simple HTML pages to complex applications that have a high maintenance cost. This is due to the inherent characteristics of web applications, to the fast internet evolution and to the pressing market which imposes short development cycles and frequent modifications. In order to control the maintenance cost, quantita- tive metrics and models for predicting web applications’ maintainability must be used. Maintainability metrics and models can be useful for predicting maintenance cost, risky components and can help in assessing and choosing between different software artifacts. Since, web applications are different from traditional software systems, models and met- rics for traditional systems can not be applied with confidence to web applications. Web applications have special features such as hypertext structure, dynamic code generation and heterogenousity that can not be captured by traditional and object-oriented metrics. This research explores empirically the relationships between new UML design met- rics based on Conallen’s extension for web applications and maintainability. UML web design metrics are used to gauge whether the maintainability of a system can be im- proved by comparing and correlating the results with different measures of maintain- ability. We studied the relationship between our UML metrics and the following main- tainability measures: Understandability Time (the time spent on understanding the soft- ware artifact in order to complete the questionnaire), Modifiability Time(the time spent on identifying places for modification and making those modifications on the software artifact), LOC (absolute net value of the total number of lines added and deleted for com- ponents in a class diagram), and nRev (total number of revisions for components in a class diagram). Our results gave an indication that there is a possibility for a relationship to exist between our metrics and modifiability time. However, the results did not show statistical significance on the effect of the metrics on understandability time. Our results showed that there is a relationship between our metrics and LOC(Lines of Code). We found that the following metrics NAssoc, NClientScriptsComp, NServerScriptsComp, and CoupEntropy explained the effort measured by LOC(Lines of Code). We found that NC, and CoupEntropy metrics explained the effort measured by nRev(Number of Revi- sions). Our results give a first indication of the usefulness of the UML design metrics, they show that there is a reasonable chance that useful prediction models can be built from early UML design metrics.

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Brammer, Kenneth W. „A transient state maintenance requirements planning model“. Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/74512.

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A model is developed for use by logistics planners in determining period by period maintenance requirements for repairable item populations. The model generates maintenance requirements with respect to manpower and facility requirements and spare parts requirements. The model is capable of capturing nonsteady-state failure behavior of populations of repairable items. Each item within the population is broken down into one or more families of components and subcomponents that can have different failure/repair characteristics. Probability of component failure may be generally distributed. A specific data requirement for the model is established. The model is structured to allow the user to conduct various"what if gaming" through an iterative procedure on a personal computer. This research document includes a literature review that establishes a history of logistics modeling. The literature review provides impetus to the proposed research by defining a need for a transient state model for maintenance requirements planning. The model is validated by a case study involving the generation of maintenance requirements for a case population.
Master of Science

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Höffl, Marc. „A new programming model for enterprise software : Allowing for rapid adaption and supporting maintainability at scale“. Thesis, KTH, Elkraftteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215103.

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Companies are under constant pressure to adapt and improve their processes to staycompetitive. Since most of their processes are handled by software, it also needs toconstantly change. Those improvements and changes add up over time and increase thecomplexity of the system, which in turn prevents the company from further adaption.In order to change and improve existing business processes and their implementation withinsoftware, several stakeholders have to go through a long process. Current IT methodologies arenot suitable for such a dynamic environment. The analysis of this change process shows thatfour software characteristics are important to speed it up. They are: transparency, adaptability,testability and reparability. Transparency refers to the users capability to understand what thesystem is doing, where and why. Adaptability is a mainly technical characteristic that indicatesthe capability of the system to evolve or change. Testability allows automated testing andvalidation for correctness without requiring manual checks. The last characteristic is reparability,which describes the possibility to bring the system back into a consistent and correct state, evenif erroneous software was deployed.An architecture and software development patterns are evaluated to build an overall programmingmodel that provides the software characteristics. The overall architecture is basedon microservices, which facilitates decoupling and maintainability for the software as well asorganizations. Command Query Responsibility Segregation decouples read from write operationsand makes data changes explicit. With Event Sourcing, the system stores not only the currentstate, but all historic events. It provides a built-in audit trail and is able to reproduce differentscenarios for troubleshooting and testing.A demo process is defined and implemented within multiple prototypes. The design of theprototype is based on the programming model. It is built in Javascript and implements Microservices,CQRS and Event Sourcing. The prototypes show and validate how the programmingmodel provides the software characteristics. Software built with the programming model allowscompanies to iterate faster at scale. Since the programming model is suited for complex processes,the main limitation is that the validation is based on a demo process that is simpler and thebenefits are hard to quantify.
ör att fortsatt vara konkurrenskraftiga är företag under konstant press att anpassa ochförbättra sina processer. Eftersom de flesta processer hanteras av programvara, behöveräven de ständigt förändras. Övertiden leder dessa förbättringar och förändringar till ökadsystemkomplexitet, vilket i sin tur hindrar företaget från ytterligare anpassningar. För attförändra och förbättra befintliga affärsprocesser och dess programvara, måste idag typiskt fleraaktörer vara en del av en lång och tidskrävande process. Nuvarande metoder är inte lämpade fören sådan dynamisk miljö. Detta arbete har fokuserat på fyra programvaruegenskaper som ärviktiga för att underlätta förändringsprocesser. Dessa fyra egenskaper är: öppenhet, anpassningsförmåga,testbarhet och reparerbarhet. Öppenhet, hänvisar till förmågan att förstå varför, var ochvad systemet gör. Anpassningsbarhet är huvudsakligen en teknisk egenskap som fokuserar påsystemets förmåga att utvecklas och förändras. Testbarhet strävar efter automatisk testning ochvalidering av korrekthet som kräver ingen eller lite manuell kontroll. Den sista egenskapen ärreparerbarhet, som beskriver möjligheten att återhämta systemet till ett konsekvent och korrekttillstånd, även om felaktig programvara har använts. En programmeringsmodell som rustarprogramvara med de ovan beskrivna programegenskaperna är utvecklad i detta examensarbete.Programmeringsmodellens arkitektur är baserad på diverse micro-tjänster, vilka ger brafrånkopplings- och underhållsförmåga för en programvara, samt användarorganisationerna.Command Query Responsibility Segregation (CQRS) frånkopplar läsoperationer från skrivoperationeroch gör ändringar i data explicita. Med Event Sourcing lagrar systemet inte endastdet nuvarande tillståndet, utan alla historiska händelser. Modellen förser användarna medett inbyggt revisionsspår och kan reproducera olika scenarion för felsökning och testning. Endemoprocess är definierad och implementerad i tre olika prototyper. Designen av prototypernaär baserad på den föreslagna programmeringsmodellen. Vilken är byggd i Javascript och implementerarmicro-tjänster, CQRS och Event Sourcing. Prototyperna visar och validerar hurprogrammeringsmodellen ger programvaran rätt egenskaper. Programvara byggd med dennaprogrammeringsmodell tillåter företag att iterera snabbare. De huvudsakliga begränsningarna iarbetet är att valideringen är baserad på en enklare demoprocess och att dess fördelar är svåraatt kvantifiera.

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Toczé, Klervie. „Functional Reactive Programming as programming model for telecom server software“. Thesis, Linköpings universitet, Programvara och system, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-113142.

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This thesis studies the use of the functional reactive programming (FRP) framework reactive-banana in a prototype which simulates a part of a Long-Term Evolution (LTE) base station: the Radio Resource Control connection setup procedure. The investigated problem is to determine whether using this FRP framework leads to an implementation with suitable performance and improved maintainability compared to the current implementation. Enhancing the maintainability of the base station software enables quicker and more efficient maintenance activities, which lead to an improved customer satisfaction. Moreover, it means that less programmers need to work on maintenance, so they can work on developing new products instead. In order to compare the use of the FRP paradigm to the one currently used in the base station implementation, the object-oriented programming (OOP) paradigm, a second prototype using this paradigm was also implemented. Having two prototypes implementing the same designed reference model (which is a simplified version of the Radio Resource Control connection setup procedure) enables a relevant comparison of the two paradigms. The two prototypes were then compared in terms of performance and maintainability. The maintainability evaluation consisted in using both software metrics and experts’ assessment, as this has been proven to be the most efficient way to evaluate software maintainability. Four experts were asked to fill in a questionnaire after reviewing the code of the two implementations. The comparison of the two prototypes indicates that the FRP prototype is more maintainable than the OOP one, but the OOP prototype has better performances than the FRP one. Moreover, the performance of the FRP prototype during the conducted tests indicates that such an implementation of the FRP paradigm is not suitable for a real base station.

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Bertrand, Sébastien. „Modèle de maintenabilité logicielle par analyse statique du graphe de code du programme“. Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0414.

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Le coût élevé de la maintenance des logiciels exige de travailler sur leur maintenabilité. Bien qu’émergente de la structure du code source, son évaluation est subjective, car elle dépend des développeurs et du contexte. Les modèles de maintenabilité actuels tendent à réduire la maintenabilité à un score unidimensionnel basé sur des métriques, souvent mal définies, qui représentent mal la structure du code. Nos travaux se sont basés sur l’analyse statique des graphes de code pour évaluer la maintenabilité. Ils ont permis de développer Javanalyser, un outil libre qui génère automatiquement le graphe de code d’un programme Java. Ces graphes ont permis de formaliser 33 métriques statiques sous forme de requêtes déclarative et ont permis de reproduire avec succès une étude de Schnappinger et al. Notre extension de l’étude confirme l’importance de la taille du programme comme facteur influençant la maintenabilité, sans toutefois négliger l’impact des autres métriques. Ce travail ouvre la voie à une compréhension plus approfondie de la maintenabilité, grâce à une représentation multidimensionnelle permettant de tenir compte de la variabilité entre les développeurs
The high cost of software maintenance requires a focus on software maintainability. Although it emerges from the structure of the source code, its evaluation is subjective, as it depends on developers and the context. Current maintainability models tend to reduce maintainability to a one-dimensional score based on metrics, often poorly defined, which inadequately represent the structure of the code. Our work is based on the static analysis of code graphs to evaluate maintainability. It led to the development of Javanalyser, an open-source tool that automatically generates the code graph of a Java program. These graphs enabled the formalization of 33 static metrics as declarative queries, and allowed the successful replication of a study by Schnappinger et al. Our extension of the study confirmed the importance of size as a factor influencing maintainability, while also recognizing the impact of other metrics. This work opens the way to a deeper understanding of maintainability through a multidimensional representation that takes into account the variability between developers

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Forslund, Emil. „Code Generation in Java : A modular approach for better cohesion“. Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11003.

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This project examines how the quality of a code generator used in an Object-Relational Mapping (ORM) framework can be improved in terms of maintainability, testability and reusability by changing the design from a top-down perspective to a bottom up. The resulting generator is tested in a case study to verify that the new design is more cohesive and less coupled than an existing code generator.

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Lewis, Doris Trinh 1957. „A ROBUST METHOD FOR USING MAINTAINABILITY COST MODELS (RELIABILITY, OPTIMIZATION, SENSITIVITY, UNCERTAINTY)“. Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/292098.

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Pizzo, Walter Nogueira. „Avaliação da disponibilidade de sistemas computacionais críticos para o controle do espaço aéreo por meio de modelo analítico da teoria de filas“. Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-02102008-174430/.

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O transporte aéreo e a indústria de sistemas de defesa foram setores pioneiros na utilização de sistemas computacionais críticos, incrementando os níveis de automação nas atividades de controle do espaço aéreo. Com o crescimento desses setores, verificado pela expansão dos números de vôos, volumes de cargas e usuários, assim como pela ampliação e diversidade das operações militares, os sistemas de controle têm assumido maior complexidade técnica, introduzindo novos recursos de automação ou facilidades adicionais de apoio para funções exercidas manualmente. Essa situação tem ampliado a dependência dos serviços prestados, relativamente à disponibilidade dos sistemas computacionais. Diretrizes de projeto e procedimentos operacionais são estabelecidos para manter os níveis de segurança nos casos de falha, no entanto a disponibilidade torna-se parâmetro crítico, na medida em que algumas falhas podem afetar a eficiência nominal da prestação dos serviços. Nesse cenário, este trabalho propõe um modelo para avaliação da disponibilidade de sistemas de controle do espaço aéreo, a partir de recursos de análises da teoria de filas. Inicialmente é citado um modelo geral para análise de disponibilidade de data centers. Em seguida, é apresentada uma extensão do modelo geral para análise da disponibilidade em sistemas de controle do espaço aéreo. Para isso, considerou-se a intervenção humana existente nessa atividade, cujas decisões de controle são exercidas por operadores qualificados (controladores), tanto nas atividades inerentes ao serviço de controle, quanto nos casos de degradação, nos quais os operadores ou técnicos de manutenção assumem alguma tarefa de reparo, decorrente da eventual indisponibilidade de funções do sistema.
Due to the growth in airspace utilization, which can be verified both in terms of the expansions in aerial movements, airports and volumes of transported passengers and cargo, as well as in terms of the expansion of military operations demands and diversity, airspace control activities have been increasing their technical complexity, introducing new features into the existent automation systems or creating additional resources for the automation of some functions previously performed by human operators. This situation has increased the dependence on the availability of the computer systems involved in the services provided by control centers. Project directives and operational procedures are established in order to maintain the safety integrity levels of the systems, in case any failure occurs. However, the availability becomes a critical parameter, once failure events can force an undesirable state of degraded operation, jeopardizing the nominal capacity of the services being performed through any controlled airspace. In this scenario, this work presents an availability model for the computer systems used in airspace control centers, based on analysis from queuing theory. A general model is first presented, referencing a case study that describes the use of queuing models to access the availability of generic data centers. Further considerations are introduced to extend this general model in order to propose its application for the specific computer systems used in airspace control centers, where operational control relies on human activities. In this case, system operation involves intensive use of human-machine interfaces (HMI), for the regular control services provided, and additional technical or operational maintenance activities, occasionally imposed to repair a momentary loss of any function of the system.

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Madonsela, Alex Thulani. „A structured approach for the reduction of mean time to repair of blast furnace D, ArcelorMittal, South Africa, Vanderbijlpark / Madonsela A.T“. Thesis, North-West University, 2011. http://hdl.handle.net/10394/7311.

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Organizations are expected by their shareholders to continually deliver above industry returns on capital invested and to remain competitive in the industry of choice through productivity, safety and quality. The maintenance function is a key area in which competitiveness through efficiencies and world–class performance can be attained by focusing on the prevention and reduction of long and costly equipment repair times. The question is: how can the mean time to repair of equipment already installed in the plant be reduced? To answer the above question correctly and comprehensively, the research explored mixed methods in finding answers. Quantitative methodology using a survey was used for data collection. Observations and interviews were held with maintenance personnel to uncover information that couldn’t have been obtained by means of a survey. The survey was limited to equipment performance measures, human factors, environmental factors, planning, spare parts, maintainability, procedures and training. To test consistency and accuracy of representation of the total population under study, a reliability test was done by using Cronbach’s alpha coefficient. To determine whether there are any differences between groups, an ANOVA test was used. Cohen’s d–value was used to determine practically significant differences between one set of data with another and correlation analysis was used to determine the relationships between the variables. The approach designed and delivered by this research flowed from the existing body of knowledge, case studies and survey findings. The approach adopts some of the elements of the failure mode and effects analysis (FMEA) procedure and differs from other work that has been done by others by taking into account the competency and experience of maintenance personnel and assigning to them factors which are used to compute anew MTTR of the equipment. The cost of implementing the recommended corrective actions for realising the new MTTR is determined and evaluated against an improved equipment availability that will be achieved as a result of the recommended corrective actions assuming that the failure rate of the equipment remains constant. This evaluation step imbedded within the approach is valuable for the maintenance function and management for decision making in ensuring that resources at the organization’s disposal are used productively. Validation and test results of the approach showed that the MTTR of equipment installed in the plant can be reduced. The results also indicated that through the use of the designed approach a regular pattern of repair or replacement times can be followed well in advance and that it is practical, user friendly and it also delivers on its objective of offering a structure for analysis and decision making aimed at reducing the MTTR. Included with this dissertation is feedback information that can be included in a maintenance job card feedback section to capture information about factors that can be improved to lower the MTTR as part of a continuous improvement process. Included also is a spare part development and management procedure that can be used by the maintenance function. Recommendations on training of maintenance personnel on the maintainability of equipment, the FMEA procedure and maintenance procedures are highlighted. Information that flowed from this approach will be valuable for continuous plant performance improvement and during the design, installation and operation stages of a blast furnace.
Thesis (M.Ing. (Development and Management Engineering))--North-West University, Potchefstroom Campus, 2012.

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Akrouche, Joanna. „Optimization of the availability of multi-states systems under uncertainty“. Thesis, Compiègne, 2020. http://www.theses.fr/2020COMP2545.

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La sûreté de fonctionnement (SdF) est devenue une nécessité dans le monde industriel au cours du XXe siècle. La SdF est un domaine d’activité qui propose des moyens d’augmenter les attributs du système dans un délai raisonnable et à moindre coût. Dans l’ingénierie des systèmes, la SdF est définie comme la propriété qui permet aux utilisateurs du système de placer une confiance justifiée dans le service qu’il leur fournit et c’est une mesure de la disponibilité, de la fiabilité et de la maintenabilité d’un système, et de la performance du support de maintenance, et, dans certains cas, d’autres caractéristiques telles que la durabilité, la sûreté et la sécurité. Le concept sur lequel notre travail est basé est la textbf disponibilité. La disponibilité A(t) est la capacité d’un système à être opérationnel à un moment précis. Le coût d’un système à haute disponibilité est très cher. Le concepteur doit faire un compromis entre la disponibilité et les coûts économiques. Les utilisateurs peuvent rejeter des systèmes dangereux, peu fiables ou non sécurisés. Par conséquent, tout utilisateur (ou industrie) posera cette question avant avoir un produit : "Quel est le produit optimal sur le marché ?" Pour répondre à cette question, nous devons combiner les deux points suivants : - La meilleure disponibilité du système : l’utilisateur souhaite un produit qui dure longtemps le plus possible. - Le meilleur coût du système : l’utilisateur veut un produit sans lui coûter une fortune. Le calcul de la disponibilité est basé principalement sur la connaissance des taux de défaillance et des réparations des composants du système. L’analyse de disponibilité permet de calculer la capacité d’un système à fournir un niveau de performance requis en fonction du niveau de dégradation. Plusieurs méthodes ont été utilisées pour calculer la disponibilité d’un système, parmi lesquelles on trouve la Fonction de Génératrice Universelle (UGF), la technique d’inclusion-exclusion, les modèles de Markov, etc. Ces méthodes utilisent différentes techniques probabilistes pour évaluer ce critère, mais ces approches proposées ne restent efficaces que pour des cas très spécifiques, par exemple les cas de systèmes binaires. Un système binaire est un système où deux cas sont possibles : fonctionnement parfait et défaillance totale. Alors que les systèmes multi-états (SME) restreint considérablement l’application de la plupart de ces méthodes. Dans la vie réelle, les systèmes correspondent à des SME. Dans de tels scénarios, les systèmes et leurs composants peuvent fonctionner à différents niveaux de performances entre l’état de fonctionnement parfait et l’état de défaillance totale. Cependant, l’évaluation de la disponibilité des SME est plus difficile que dans le cas binaire, car il faut tenir compte des différentes combinaisons des modes de défaillance des composants. Tout au long de cette thèse, nous recherchons une méthode qui nous aide à calculer et à optimiser la disponibilité de SME tenant compte le facteur coût
Dependability has become a necessity in the industrial world during the twentieth century. Dependability is an activity domain that proposes means to increase the attributes of the system in a reasonable time and with a less cost. In systems engineering, dependability is defined as the property that enables system users to place a justified confidence in the service it delivers to them and it is a measure of a system’s availability, reliability, and its maintainability, and maintenance support performance, and, in some cases, other characteristics such as durability, safety and security. The key concept that our work is based on is the availability. The availability A(t) is the ability of a system to be operational at a specific moment. The cost of some system with high availability is very expensive. The designer must compromise between the availability and the economic costs. Users can reject systems that are unsafe, unreliable or insecure. Therefore, any user (or industry) will ask this questionbefore getting any product: "What is the optimal product in the market?" To answer to this question, we must combine the following two points : - The best availability of the system : the user wants a product that lasts as long as possible. - The best cost of the system : the user wants a product without costing him a fortune. Availability calculation is based primarily on knowledge of failure rates and repairs of system components. Availability analysis helps to calculate the ability of a system to provide a required level of performance depending on the level of degradation. Several methods have been used to calculate the availability of a system, amongst which we find the Universal Generating Function (UGF), Inclusion-Exclusion technique, Markov models, etc. These methods employ different probabilistic techniques to evaluate this criterion, but these proposed approaches remain effective only for very specific cases, for example the cases of binary systems. A binary system is a system where only two cases are possible : perfect functioning and total failure. While the transition to multi-state systems (MSS) drastically restricts the application of most of these methods. In real life, the systems corresponds to MSS. In such scenarios, systems and their components can operate at different performance levels between working and failure states. However, the evaluation of the availability of the MSSs is more difficult than in the binary case, because we have to take into account the different combinations of the component failure modes. Throughout this thesis, we search for a method that helps us to compute and to optimize the availability of MSS

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Bücher zum Thema "Maintainability model"

Russell, Jeffrey S. A model process for maintainability implementation. Austin, TX: [Construction Industry Institute, the University of Texas at Austin, 1999.

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A, Viterna Larry, und Lewis Research Center, Hrsg. ETARA PC version 3.3 user's guide: Reliability, availability, maintainability simulation model. Cleveland, Ohio: NASA Lewis Research Center, 1991.

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A, Viterna Larry, und Lewis Research Center, Hrsg. ETARA PC version 3.3 user's guide: Reliability, availability, maintainability simulation model. Cleveland, Ohio: NASA Lewis Research Center, 1991.

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A, Viterna Larry, und Lewis Research Center, Hrsg. ETARA PC version 3.3 user's guide: Reliability, availability, maintainability simulation model. Cleveland, Ohio: NASA Lewis Research Center, 1991.

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United States. National Aeronautics and Space Administration., Hrsg. Integrating O&S models during conceptual design: PART II:reliability and maintainability model (RAM) user and maintenance manual. [Washington, D.C.]: National Aeronautics and Space Administration, 1994.

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United States. National Aeronautics and Space Administration., Hrsg. Reliability and maintainability model (RAM): User and maintenance manual : under grant no. NAG1-1-1327 : improved supportability analysis : annual report, part II, December 31, 1996. Dayton, Ohio: University of Dayton, Engineering Management and Systems Dept., 1996.

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Ebeling, Charles E. Reliability and maintainability model (RAM): User and maintenance manual : under grant no. NAG1-1-1327 : improved supportability analysis : annual report, part II, December 31, 1996. Dayton, Ohio: University of Dayton, Engineering Management and Systems Dept., 1996.

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Schneeweiss, Winfrid G. Reliability modeling: (modeling in the fields of dependability, availability, maintainability, and safety engineering). Hagen: LiLoLe-Verlag, 2001.

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Osaki, Shunji. Stochastic Models in Reliability and Maintenance. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002.

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Thomas, L. C. A survey of maintenance and replacement models for maintainability and reliability of multi-item systems. Edinburgh: University of Edinburgh. Department of Business Studies, 1986.

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Buchteile zum Thema "Maintainability model"

Almasri, Nada, und Luay Tahat. „Model-Based Metrics to Estimate Maintainability“. In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 59–69. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95450-9_5.

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Domínguez-Mayo, Francisco José, María José Escalona, Manuel Mejías und Jesús Torres. „Studying Maintainability on Model-Driven Web Methodologies“. In Information Systems Development, 195–206. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9790-6_16.

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Kapová, Lucia, Thomas Goldschmidt, Steffen Becker und Jörg Henss. „Evaluating Maintainability with Code Metrics for Model-to-Model Transformations“. In Research into Practice – Reality and Gaps, 151–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13821-8_12.

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Boggero, Luca, Marco Fioriti, Giuseppa Donelli und Pier Davide Ciampa. „Model-Based Mission Assurance/Model-Based Reliability, Availability, Maintainability, and Safety (RAMS)“. In Handbook of Model-Based Systems Engineering, 1–39. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-27486-3_34-1.

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Boggero, Luca, Marco Fioriti, Giuseppa Donelli und Pier Davide Ciampa. „Model-Based Mission Assurance/Model-Based Reliability, Availability, Maintainability, and Safety (RAMS)“. In Handbook of Model-Based Systems Engineering, 549–87. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-93582-5_34.

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Ferreira, Cláudia, Ana Silva, Jorge de Brito und Inês Flores-Colen. „The Use of Petri Nets to Model the Maintainability of Buildings“. In Springer Series in Reliability Engineering, 23–62. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14767-8_3.

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Braeuer, Johannes, Reinhold Ploesch und Matthias Saft. „Measuring Maintainability of OO-Software - Validating the IT-CISQ Quality Model“. In Advances in Intelligent Systems and Computing, 283–301. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46535-7_22.

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Yang, Jiyong, Moongi Seok, San Jeong und Changbeom Choi. „A DEVS Visual Front-End Interface for Model Reusability and Maintainability“. In Communications in Computer and Information Science, 60–71. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2853-4_5.

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Olatunji, Sunday Olusanya, und Ali Selamat. „Type-2 Fuzzy Logic Based Prediction Model of Object Oriented Software Maintainability“. In Communications in Computer and Information Science, 329–42. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17530-0_23.

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Baouya, Abdelhakim, Djamal Bennouar, Otmane Ait Mohamed und Samir Ouchani. „A Formal Approach for Maintainability and Availability Assessment Using Probabilistic Model Checking“. In Modelling and Implementation of Complex Systems, 295–309. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33410-3_21.

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Konferenzberichte zum Thema "Maintainability model"

Turetken, Oktay. „Towards a maintainability model for business processes: Adapting a software maintainability model (position paper)“. In 2013 IEEE 1st International Workshop on Communicating Business Process and Software Models Quality, Understandability, and Maintainability (CPSM). IEEE, 2013. http://dx.doi.org/10.1109/cpsm.2013.6703083.

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di Biase, Marco, Ayushi Rastogi, Magiel Bruntink und Arie van Deursen. „The Delta Maintainability Model: Measuring Maintainability of Fine-Grained Code Changes“. In 2019 IEEE/ACM International Conference on Technical Debt (TechDebt). IEEE, 2019. http://dx.doi.org/10.1109/techdebt.2019.00030.

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Wu, Zhenya, Jianping Hao, Peng Wang, Chenguang Liu und Zhen Li. „A Multiple Linear Regression Model for Maintainability Analysis Considering Maintainability Design Characteristics“. In CSAE 2020: The 4th International Conference on Computer Science and Application Engineering. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3424978.3424988.

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Heitlager, Ilja, Tobias Kuipers und Joost Visser. „A Practical Model for Measuring Maintainability“. In 6th International Conference on the Quality of Information and Communications Technology (QUATIC 2007). IEEE, 2007. http://dx.doi.org/10.1109/quatic.2007.8.

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Ahmad, Basel Alsayyed. „Design for Reliability and Maintainability Cost Model“. In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-63659.

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In this paper, the author presents a cost model which simultaneously incorporates the abilities of two main designs. Namely, design for reliability (DfR) and design for maintainability (DfMn). DfR and DfMn have been of a great concern for designers. The focus has been more on the quality rather than aspects of reliability and maintainability of product development in general and product design in particular. However, as more awareness and attention is paid to the whole product lifecycle, more product lifecycle X-ability needs to be considered upfront at the design stage. To develop a new model, cost models of design for reliability as well as design for maintainability have been considered and evaluated. This new model, which tackles the two criteria simultaneously, has been developed and is a parametric model which allows for running sensitivity analysis based on the different aspects of reliability and maintainability.

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Deissenboeck, F., S. Wagner, M. Pizka, S. Teuchert und J. F. Girard. „An Activity-Based Quality Model for Maintainability“. In 2007 IEEE International Conference on Software Maintenance. IEEE, 2007. http://dx.doi.org/10.1109/icsm.2007.4362631.

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Bakota, Tibor, Peter Hegedus, Gergely Ladanyi, Peter Kortvelyesi, Rudolf Ferenc und Tibor Gyimothy. „A cost model based on software maintainability“. In 2012 IEEE International Conference on Software Maintenance (ICSM). IEEE, 2012. http://dx.doi.org/10.1109/icsm.2012.6405288.

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Silva, Publio, Carla I. M. Bezerra und Ivan Machado. „A machine learning model to classify the feature model maintainability“. In SPLC '21: 25th ACM International Systems and Software Product Line Conference. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3461001.3471152.

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Guo, Chunhui, Chuan Lv und Yu Xiao. „A heuristic application model of maintainability design criteria“. In 2017 Second International Conference on Reliability Systems Engineering (ICRSE). IEEE, 2017. http://dx.doi.org/10.1109/icrse.2017.8030766.

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Fu, Yun, Jin’e Huang und Zhe He. „Maintainability Distribution Model for Laser Inertial Navigation System“. In Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/msbda-19.2019.12.

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Berichte der Organisationen zum Thema "Maintainability model"

Seale, Maria, Natàlia Garcia-Reyero, R. Salter und Alicia Ruvinsky. An epigenetic modeling approach for adaptive prognostics of engineered systems. Engineer Research and Development Center (U.S.), Juli 2021. http://dx.doi.org/10.21079/11681/41282.

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Prognostics and health management (PHM) frameworks are widely used in engineered systems, such as manufacturing equipment, aircraft, and vehicles, to improve reliability, maintainability, and safety. Prognostic information for impending failures and remaining useful life is essential to inform decision-making by enabling cost versus risk estimates of maintenance actions. These estimates are generally provided by physics-based or data-driven models developed on historical information. Although current models provide some predictive capabilities, the ability to represent individualized dynamic factors that affect system health is limited. To address these shortcomings, we examine the biological phenomenon of epigenetics. Epigenetics provides insight into how environmental factors affect genetic expression in an organism, providing system health information that can be useful for predictions of future state. The means by which environmental factors influence epigenetic modifications leading to observable traits can be correlated to circumstances affecting system health. In this paper, we investigate the general parallels between the biological effects of epigenetic changes on cellular DNA to the influences leading to either system degradation and compromise, or improved system health. We also review a variety of epigenetic computational models and concepts, and present a general modeling framework to support adaptive system prognostics.

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McCallum und Richard. L52247 Human Factors Analysis of Leak Detection and Response Scoping Study. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), Februar 2004. http://dx.doi.org/10.55274/r0010251.

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There has been a substantial level of effort over the past several decades to understand the role of the human controller/operator in process control industry accidents. This work received a substantial impetus from the Three Mile Island nuclear reactor accident in March 1979, which led to an increased focus on the role of the operator as a decision-maker within the process control system. In response to this focus, industry guidelines were developed to address human factors issues in control room design and plant maintainability, among other issues. During the same period that industry guidelines were being developed in the nuclear industry, the human factors community made significant progress in developing theoretical models of the role of the operator in process control. Models that recognized the importance of operators" cognitive capacities, tendencies, and errors provided additional analytic power in both reconstructing accidents and developing approaches toward new designs. Two alternative near-term research plans were identified, along with the required funds, industry resources, and time. Expected products resulting from two alternative research efforts were outlined. An immediate benefit to industry in supporting the outlined research would be implementation of the Human Factors Operational Review Procedure. This would allow operators to come into compliance with key aspects of the Pipeline Integrity Management rules. More specifically, this guideline would be responsive to the requirement to identify and evaluate preventive and mitigative measures to protect High Consequence Areas, including emergency procedures for responding to spills and ruptures. Human factors critically affect operators" capability to detect and respond to spills, ruptures, and other emergency conditions; and the proposed guideline would directly support these requirements. More generally, it is anticipated that support of this research would result in significant improvement in operational safety, reliability, and efficiency.

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