Academic literature on the topic 'Operational performance'

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Journal articles on the topic "Operational performance"

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Kembaren, Julbintor. "Enhancing Operational Performance through ERP Performance." International Journal of Advanced Trends in Computer Science and Engineering 8, no. 6 (December 15, 2019): 2750–52. http://dx.doi.org/10.30534/ijatcse/2019/11862019.

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Kembaren, Julbintor. "Enhancing Operational Performance through ERP Performance." International Journal of Advanced Trends in Computer Science and Engineering 9, no. 2 (April 25, 2020): 1002–4. http://dx.doi.org/10.30534/ijatcse/2020/16922020.

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Horton, L. D., J. P. Christiansen, J. Lingertat, C. F. Maggi, V. Mertens, O. Pogutse, G. Saibene, et al. "Performance near operational boundaries." Plasma Physics and Controlled Fusion 41, no. 12B (December 1, 1999): B329—B341. http://dx.doi.org/10.1088/0741-3335/41/12b/324.

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Chou, Chun-Hsin, Joe-Ming Lee, Ying-Maw Teng, and Hsiu-Ling Lee. "The relationships between productivity, operational risk, and firm performance." Agricultural Economics (Zemědělská ekonomika) 68, No. 3 (March 17, 2022): 97–106. http://dx.doi.org/10.17221/222/2021-agricecon.

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The aim of this study was to revisit the relationship between productivity and performance by using the panel data model on Taiwanese food listed firms during 2008–2020. The result found that there is a U-shaped relationship between productivity and performance. On the contrary, research and development (R&D) innovation and performance have an inverse U-shaped relationship, reminding that when the food listed firms have a specific R&D innovation base, they should invest more powerful resources, professional productivity, and innovate the food listed firms.
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Prajogo, Daniel I., and Mark Goh. "Operations Management activities and operational performance in service firms." International Journal of Services Technology and Management 8, no. 6 (2007): 478. http://dx.doi.org/10.1504/ijstm.2007.013943.

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Duong, Ngoc-Hong. "Relationship of Social Sustainability, Operational Performance and Economic Performance in Sustainable Supply Chain Management." GLOBAL BUSINESS FINANCE REVIEW 27, no. 4 (August 31, 2022): 47–65. http://dx.doi.org/10.17549/gbfr.2022.27.4.46.

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Purpose: Over the past two decades, sustainable development and green economy approaches have been implemented in different fields, including supply chain management. In developed countries, sustainable supply chain management (SSCM) has attracted attention from both academia and industry. However, there is a substantial knowledge gap about supply chain social sustainability in developing countries. Hence, the main purpose of this study is to present the link between social sustainability and economic performance with the mediating role of operational performance in sustainable supply chain management. Design/methodology/approach: The PLS-SEM model is applied to identify factors affecting social sustainability and the relationship between social sustainability, operational performance, and economic performance in Vietnam. Findings: The study broadens the concept and emphasizes the importance of sustainable development in the context of Vietnam and provides recommendations for managers on strategic planning and developing business towards sustainability. This study also encourages managers to enrich employees’ welfare and working conditions and con- tribute to the local community. Research limitations/implications: The social indicators in developing countries are distinct from those in developed countries. Hence, this study may only apply in the context of developing countries. There are three main pillars of sustainable development, including economic (profit), environment (planet), and society (people). In this research, the author only examines the social and economic aspects. Originality/value: The outcomes of this study demonstrate a clear link between the social and economic elements of sustainability. While demonstrating how fully implemented Social sustainability improves economic performance, this study stimulates academic research about the interrelationship of sustainability elements in supply chains.
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L.JAGADEESAN, L. JAGADEESAN, and Dr H. SHANKAR Dr. H.SHANKAR. "Operational Performance of Mango Pulp Industry in Tamilnadu – An Analysis." Indian Journal of Applied Research 4, no. 8 (October 1, 2011): 90–94. http://dx.doi.org/10.15373/2249555x/august2014/24.

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Tätilä, Jaakko, Pekka Helkiö, and Jan Holmström. "Exploring the performance effects of performance measurement system use in maintenance process." Journal of Quality in Maintenance Engineering 20, no. 4 (October 7, 2014): 377–401. http://dx.doi.org/10.1108/jqme-07-2013-0051.

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Purpose – The intended function of performance measurement is to support the effective management of an organisation and the improvement of organisational performance. However, how performance measurement should be used operationally to support the achievement of improved performance is not self-evident. The purpose of this paper is to examine the operational use of performance measurement in practice and to describe how different use practices contribute to improved performance. Design/methodology/approach – The authors conducted an exploratory single case study in a maintenance process. Data were collected using a mixed methods approach that encompassed qualitative meetings and interviews (identification of usage practices) followed by a quantitative survey (elaboration of usage practices and their performance effects). Findings – Three usage practices are relevant: Inspect and Improve, Motivate, and Decision Making. Improved performance is best achieved through motivational and supportive improvement use. Furthermore, performance measurement systems must be designed properly to establish their use. Research limitations/implications – Being based on a single-case study, the identified usage practices may be limited to field service organisations or other organisations with similar organisational structures. The findings suggest opportunities for further research linking operational performance measurement system use and the body of knowledge on the design and purpose of performance measurement in maintenance processes. Practical implications – A performance measurement system can be used as a motivational improvement tool in operational level leadership. Upper level management must support its use by designing an understandable and applicable system. Originality/value – This paper identifies specific usage practices that contribute to improved performance, thereby providing a more detailed view than the usage categories found in the extant literature. The focus is on operational, rather than strategic, level management.
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Fu, Wayne, and Brian W. Jacobs. "Does increased water efficiency improve financial performance? The important role of operational efficiency." International Journal of Operations & Production Management 42, no. 3 (February 8, 2022): 304–30. http://dx.doi.org/10.1108/ijopm-10-2021-0628.

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PurposeThe purpose of this study is to examine the relationships between changes in water efficiency, profit and risk for firms in the global Consumer Packaged Goods industry. This study also aims to consider the moderating effect of operational efficiency on those relationships.Design/methodology/approachUsing a sample of 155 firms with annual corporate social performance and financial performance data from Bloomberg for the years 2010–2019, this study employs first-differencing panel regression models to obtain our results.FindingsThis study finds strong evidence that operational efficiency moderates the relationships between water efficiency, profit and risk. For operationally efficient firms, increasing water efficiency increases profit and reduces risk. But for firms that are not operationally efficient, this study finds the opposite effects. These findings suggest a threshold level of operational efficiency that firms should achieve before they can reap financial benefits from increases in water efficiency.Originality/valueDespite the increasing importance of water efficiency as a measure of corporate social performance, its effects on financial performance are not well studied. The relationship between operational efficiency and water efficiency has also not been examined. This work provides empirical evidence to better understand these important relationships. The major implication for managers is that operational efficiency is a foundational capability that should be developed before focusing on efforts to improve water efficiency. For operationally efficient firms, improvements in water efficiency can be an important mechanism to increase profitability and reduce risk.
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Birkie, Seyoum Eshetu, Paolo Trucco, and Matti Kaulio. "Sustaining performance under operational turbulence." International Journal of Lean Six Sigma 8, no. 4 (October 9, 2017): 457–81. http://dx.doi.org/10.1108/ijlss-12-2016-0077.

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Purpose Many studies have found that Lean practices provide better performance in a stable business environment. However, there is limited information on how Lean practices influence performance gains (defined in this paper as improvement and sustenance of performance) in an uncertain (complex and dynamic) environment. This study aims to investigate how the implementation of Lean helps to sustain performance in such context. Design/methodology/approach The study draws on an in-depth investigation of two capital goods manufacturing engineer-to-order (ETO) cases, in which performance sustenance is discussed in relation to the extent, locus and extensiveness of implemented Lean practice bundles. Findings Findings indicate that a higher extent of Lean practices’ implementation, covering both shop floor and transactional processes, increases the possibility of performance sustenance in ETO. Furthermore, a coherent approach in the pre-, during- and post-implementation phases of the Lean change process is required to foster performance sustenance. Lean practices in ETO are modified to suit context change from repetitive manufacturing. Research limitations/implications This study proposes performance sustenance as a performance measure in a highly uncertain context, such as ETO, as a single reference cannot effectively measure performance improvements over diverse orders. From this perspective, appropriate Lean implementation contributes towards building capabilities for flexibly and proactively managing uncertain circumstances. Practical implication Even companies operating in highly uncertain (complex and dynamic) contexts may benefit from significant performance gains, thanks to the Lean implementation. This can be achieved by a balanced implementation of practices at shop floor and transactional processes, and their mindful customisations. Originality/value The study compares Lean implementation in ETO with that of high-volume–low-variety systems established in the literature. It qualitatively discusses how Lean implementation as an overarching effort both in shop floor and transactional processes leads to better sustenance of achieved performance improvements in shop floor under high uncertainty.
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Dissertations / Theses on the topic "Operational performance"

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THOME, ANTONIO MARCIO TAVARES. "SALES AND OPERATIONS PLANNING IMPACT ON MANUFACTURING OPERATIONAL PERFORMANCE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2013. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=23836@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE SUPORTE À PÓS-GRADUAÇÃO DE INSTS. DE ENSINO
Esta tese aborda o tema de Planejamento de Vendas e Operações, designado pelo acrônimo inglês de SeOP (Sales and Operations Planning). Trata-se de um campo recente em Gerência de Operações. SeOP é definido como um processo interfuncional e integrado de planejamento tático e como um conjunto coeso de práticas gerenciais que unificam diferentes planos de negócios (vendas, marketing, desenvolvimento de novos produtos, manufatura, compras e finanças) em um conjunto de planos integrados internamente e na cadeia de suprimentos, com a finalidade de criar valor e impacto no desempenho das empresas. Objetiva equilibrar oferta e demanda em nível de produtos e famílias de produtos, com um horizonte de planejamento que coincide com o ciclo de planejamento estratégico dos negócios. A eficiência do processo é medida e avaliada para melhoria continua. Compreende um conjunto coeso de práticas gerenciais, direcionado a incentivar o alinhamento horizontal (entre funções) e vertical (do plano de negócios a operações), na empresa e na cadeia de suprimentos. O objetivo da tese é duplo: proceder a uma revisão sistemática e abrangente da literatura em SeOP; avaliar o impacto dos processos e das práticas de SeOP no desempenho operacional da manufatura. A revisão bibliográfica sobre SeOP foi feita a partir das bases de dados eletrônicas EBSCO, Emerald e SCIENDIRECT. Ao todo 271 resumos e 55 textos completos foram revistos e classificados em um quadro conceitual de referência, que relaciona variáveis contextuais, de entrada (inputs), objetivos, estruturas e processos, resultados intermediários e resultados finais do SeOP. Foi constatada a ausência de sínteses anteriores da literatura sobre o tema e uma grande disparidade de conceitos e modelos de maturidade do SeOP, que impossibilitaram a análise estatística dos resultados publicados (meta-análise). Uma síntese sistematizada da literatura foi apresentada. Notou-se igualmente que existem poucos artigos científicos rigorosos que demonstrem o impacto das práticas de S&OP no desempenho das empresas. Ainda mais raros são os estudos empíricos baseados em teorias de gerência de operações. A verificação empírica do impacto das práticas de SeOP interno e de integração na cadeia de suprimentos com fornecedores e com clientes foi realizada com modelos de equações estruturais e de regressão múltipla passo a passo. A base de dados da Pesquisa Internacional de Estratégia da Manufatura (IMSS-V), reagrupando 725 empresas de 34 países foi utilizada na análise. A formulação dos modelos baseou-se na teoria de contingência estrutural. O efeito do SeOP (medido pelo coeficiente de regressão) no desempenho operacional da manufatura foi positivo e consistente para as dimensões da qualidade, flexibilidade e entregas, situando-se no intervalo entre 0,26 e 0,36. Contatou-se igualmente que a integração com fornecedores e as tecnologias de processo na manufatura são moderadoras do impacto no desempenho em todas as dimensões de desempenho e que a tecnologia de produtos modera o desempenho em termos de qualidade. Conclui-se que há uma necessidade de aprofundar a agenda de pesquisas com estudos empíricos baseados em teorias de gerência de operações na manufatura em diferentes contextos e indústrias, de estender e aprofundar a análise do SeOP na cadeia de suprimento, assim como de conduzir estudos de casos. A principal implicação prática do estudo resulta dos fatores contingenciais do impacto do SeOP no desempenho. A indústria ganharia a conduzir processos e práticas de SeOP de forma concomitante com a integração com fornecedores na cadeia de suprimento e a adoção de tecnologias de processo e de produtos que sejam adequadas ao ambiente no qual atua.
Sales and Operations Planning (SandOP) is a new and growing research field in Operations Management. The thesis intends to: (i) provide a comprehensive research synthesis of the extant literature on SandOP; and (ii) explore SandOP impact on manufacturing operational performance dimensions of quality, delivery and flexibility, informed by structural contingency theory. A synthesis framework was proposed. Due to disparate concepts and measurements, the field is not yet ripe for meta analysis. There is also a paucity of rigorous empirical research in the impact of SandOP on manufacturing operational performance, anchored in Operations Management theories. Data from 725 metal products and machinery manufacturers (ISIC 3.1, code 28-35) in 34 countries from the fifth round of the International Manufacturing Strategy Survey was used for hypotheses tests. Scales were validated with confirmatory factor analysis and analyzed with stepwise multiple regression. SandOP effect size on quality, delivery and flexibility was on the 0.26 - 0.36 range, after controlling for economic development, market dynamics and firm size. Supply Chain integration with suppliers and manufacturing process technology moderate SandOP impact on all three performance dimensions. Product technology moderates quality but not delivery or flexibility. Misfit of process technology, cross functional team work and product technology adversely affect performance. Practitioners should simultaneously pursue SandOP implementations, integration with suppliers and use of adequate technology to boost performance. Further research should focus on theory validation, case studies and survey research on SandOP.
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Jordan, Michael S. "The Effect Of Organizational Knowledge Creation On Firm Performance: An Operational Capabilities-Mediated Model." Digital Archive @ GSU, 2012. http://digitalarchive.gsu.edu/bus_admin_diss/4.

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What operational factors can explain the performance differences between manufacturing firms? Scholars have produced a significant volume of research that examines the linkages between operational factors (resources and practices) and firm performance. There is agreement that organizational capabilities mediate the relationship between operational factors and firm performance. However, due to the numerous and sometimes contradictory definitions of organizational capabilities in the literature and because organizational capabilities includes non-operational factors, it has been suggested that operational capabilities, as a sub construct of organizational capabilities, is more appropriate for establishing an empirical relationship between operational factors and firm performance. Scholars have argued that process improvement practices facilitate the development of operational capabilities, which can consequently lead to improved firm performance. Other scholars have argued that process improvement practices facilitate organizational knowledge creation, which can also influence firm performance. We integrate these two theoretical perspectives into a single conceptual model that better explains the relationship between knowledge-creating practices and firm operational performance. Specifically, we argue that knowledge-creating practices play a significant role in developing a firm’s operational capabilities, which in turn, influence firm operational performance. This research investigates the existence of a relationship between organizational knowledge creation and firm operational performance that is mediated by operational capabilities.
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Huang, Rui. "Dynamic rating for improved operational performance." Thesis, University of Southampton, 2015. https://eprints.soton.ac.uk/387369/.

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Many power transmission systems are under pressure from increasing load demand as well as changes in power flows due to the evolution of the power market and the integration of renewable energy generations. At the same time, limited finance for installing new cables and the difficulties in reinforcement of existing circuits in urban areas incentivize transmission operators around the world to find ways to maximize the flexibility and usage of their existing transmission network. As a result, it is crucial to adopt new current rating methods which are able to optimize asset utilization, minimize risk and reduce the constraint costs incurred by transmission system operators. Historically, most cable thermal ratings are continuous ratings, with fixed seasonal values for a certain cable circuit. They are based on worst-case assumptions and are not able to consider the real-time environmental conditions. The ignorance of the real-time change in environmental conditions, which control the rate of heat dissipation from the cable, makes continuous ratings generally conservative. However, the rating values can also be optimistic for some extreme situations such as thermal runaway in the soil around the cables, which might cause overheating. Several dynamic rating systems have been applied to the existing underground cable in practice by using online monitoring data. Some worst case assumptions used in conventional cable rating standards have been removed. Such systems have been reported to deliver increases of 5-20% in cable current capacity. However, most existing dynamic rating systems can only determine a short-term rating at the current time step. It would be valuable for transmission operators to know the short-term rating in advance to assist in day-ahead planning. To solve this problem, a predicted rating system, which is capable of providing network operators with accurate short term current ratings at the day ahead stage, has been developed in this work. This novel cable rating concept integrates a day-ahead load forecasting system into the dynamic rating system to provide the time-limited short-term rating calculated forward from any point within the next 24 hours. Some shortcomings of existing rating methods for different kind of insulated cable installations have been detected and overcome. More suitable models have been built, compromising between accuracy and solution speed to fit them into the predicted rating system. A day-ahead load forecasting system has been built by using the Support Vector Regression (SVR) method. Dynamic thermal models are used to translate the load prediction into thermal prediction 24 hours ahead. Thus, the time-limited short-term ratings can then be calculated 24hrs ahead, based on the predicted load data and cable temperature data. In addition, an error estimation system has been integrated to estimate the predicted conductor temperature error quickly, thus increases the reliability of the predicted rating system. Utilizing this predicted rating system has the double benefit of reducing variations in dynamic ratings (which makes them difficult to plan with), while reducing the risk of thermally overloading the cable, thus prematurely ageing the dielectric. For a large scale transmission network, the dynamic rating and predicted rating systems for all the cable circuits might require huge amounts of computation and very long solution times, which make their application impractical and infeasible. The idea of using a machine learning method, such as Support Vector Regression, has been shown to dramatically reduce the solution time for dynamic rating calculations.
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Callahan, Jeremy. "Metrics of METOC forecast performance and operational impacts on carrier strike operations." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2006. http://library.nps.navy.mil/uhtbin/hyperion/06Sep%5FCallahan.pdf.

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Thesis (M.S. in Meteorology and Physical Oceanography)--Naval Postgraduate School, September 2006.
Thesis Advisor(s): Tom Murphree, Rebecca Stone. "September 2006." Includes bibliographical references (p. 61-62). Also available in print.
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Kyriakidis, Miltos. "Developing a human performance railway operational index to enhance safety of railway operations." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/21760.

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The railway system is a complex network that involves continuous interaction of human operators with technology, procedures and regulations to ensure safe and efficient operations. From an architectural perspective, the complexity of the interactions presents a risk of failure with the consequence that safety incidents and accidents may occur. The common approach to the development of measures for mitigating such occurrences is the retrospective analysis of accidents and incidents; in order firstly to identify, classify and acknowledge the contributing factors and secondly, to suggest mitigation strategies. Research undertaken globally using retrospective analysis indicates that a large number of railway accidents and incidents are associated with human errors due to degraded human performance. In particular, it has been shown that train operators (drivers, signallers and controllers) account for the majority of accidents and incidents. For example, between 1990 and 2009, at least 75% of fatal railway accidents in Europe were due to excessive speed, signal passed at danger or signalling/dispatching errors. There has been a significant research effort to examine, identify and understand the factors that affect human performance in railway operations, so as to prevent conditions related to degrade performance and to reduce the probability of human errors. However current methods, developed on the principles of Human Reliability Analysis (HRA), are based on research from other domains, including nuclear, oil and gas, and aviation. Hence, they are not suited to the rail industry and can be difficult to apply reliably to railway specific operations. Moreover, in the case of the factors that affect human performance, current methodologies have either adopted lists of factors from other domains or slightly modified existing lists, and then applied them to the railway industry. In addition, even in the cases where the lists of factors have been modified, such alterations have been designed on the basis of regional accident and incident analysis. Although the number of factors that influence performance can be claimed to be limited, e.g. fatigue, training, organisational culture and system design, the analysis of only regional occurrences does not provide analysts with a worldwide perspective of the significance of factors on human performance. Therefore, this thesis addresses the current limitations and proposes a new framework to identify the factors that affect the performance of railway operators, and assess human performance. In particular, this thesis developed for the first time a novel and comprehensive taxonomy for railway operations, referred to as the Railway-Performance Shaping Factors (R-PSFs) taxonomy. The taxonomy is derived from a variety of sources including: extensive literature review, operators' hierarchical task analysis, and the analysis of global accidents and incidents. Subject matter experts validated the taxonomy. Results identified 43 contributing factors, whilst further statistical analysis indicates that 12 out of 43 factors are responsible for more than 90% of total occurrences regardless of the type of network, responsibility and severity of consequences. Unlike current taxonomies, the framework developed accounts for both the influence of each individual factor and the dynamic interactive influence of the factors due to their mutual dependencies. It is recommended that the R-PSFs taxonomy be used by railway stakeholders to enhance the Safety Management Systems of their organisation. In addition the taxonomy can be used as part of the training program of the organisations in order to inform and engage the railway personnel with respect to the factors that primarily affect their performance. Finally, the taxonomy is recommended for use by the investigator stakeholders to obtain information about the human aspect that may have led to railway occurrences. This thesis also developed, tested and validated a framework, referred to as the Human Performance (HuPeROI) to enhance safety in railway operations. Based on the 12 largest contributing factors, the HuPeROI is a novel scheme to assess human performance, as function of the various R-PSFs. The HuPeROI for the first time introduces an approach to quantify the impact of each of the factors that affect human performance accounting for all the dependencies amongst those factors. HuPeROI has been developed by integrating the generic concept of two techniques, the Analytic Network Process and the Success Likelihood Index Methodology (SLIM). The former is one of the best known and widely used multi-criteria decision making techniques and was used to evaluate the influence of each R-PSF on operators' performance. SLIM was applied to rate the importance of each of the R-PSFs for different operational actions and finally to estimate the reliability index for these actions. The HuPeROI framework was demonstrated in a case study in three different types of railway operations: regional, high-speed and underground, and helps to define the influence of each individual factor on human performance as well as to indicate the relative likelihoods of different human errors. Finally, both the R-PSFs taxonomy and HuPeROI can be transferred and used with minor modifications not only in other railway procedures, e.g. maintenance, but also domains, e.g. aviation, maritime and oil.
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Greatbanks, R. W. "Performance measurement in SMEs : an operational perspective." Thesis, University of Manchester, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488247.

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Alher, Fabio. "A strategic model of operational performance improvement." Thesis, University of Warwick, 1998. http://wrap.warwick.ac.uk/4307/.

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Performance improvement is the natural objective of any intervention in the organisation. Performance improvement in operational terms is particularly interesting when it is able to influence the competitive position of the firm. By being able to deliver superior value and/or offer prices through lower costs a firm will increase customer satisfaction and loyalty and potentially increase its market share and profitability. This research explores the determinants of strategic operational performance improvement, the particular questions we address are: 1) What characterise the process in which the firm achieves operational performance that is strategically significant?, and 2) Why once advantage is achieved, it is not automatically replicated? The manufacturing strategy model and the literature associated with the resource-based theory provide the theoretical foundations of this work, although the link between the two literatures is problematic because their fundamentals are usually at odds. Because the nature of the work is exploratory, and its purpose is one of theory building, we build a model of strategic operational improvement through grounded research. Four case studies are studied and analysed in order to test and improve the model. The results provide a number of insights on the role of managerial rationality, managerial behaviour, and the relationship between managerial and workers behaviour. We are also able to address a number of questions on the nature of strategy in operations. The final product of this thesis is model that relates the processes in the organisation to the firm's initial conditions to explain the evolution of performance. Empirical evidences suggest that the strategic improvement of operational performance depends on the sequence evolution of initial conditions, managerial behaviour, and organisational behaviour. It is argued that by understanding the relationships in this model it is possible to develop more effective operations processes which are able to deliver superior value and or lower costs.
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Scarpin, Marcia Regina Santiago. "Operational capabilities’ typology: an evolution from operational practices." reponame:Repositório Institucional do FGV, 2016. http://hdl.handle.net/10438/16609.

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Operational capabilities are characterized as an internal resource of the firm and source of competitive advantage. However, the literature of operations management provides inadequate constitutive definitions of operational capabilities, does not cover the relativization to different contexts, has limited empirical grounding, and does not adequately explores the more extensive empirical literature on operational practices. When practices are operationalized in the internal environment of the firm, they can be incorporated as organizational routines, and through the pre-existing tacit knowledge of production, become operational capabilities, thus creating barriers to imitation. But, a few scholars have explored operational practices as an antecedent of operational capabilities. Based on this review, we investigated about nature of operational capability; the relationship between operational practices and operational capabilities; types of operational capabilities characterized in the firm’s internal environment; and the impact of the operational capabilities on operational performance. Therefore, we conduct a mixed methods research. In qualitative stage, we conducted case studies in four firms, two multinational American firms operating in Brazil and two local Brazilian firms. We collected data through semi-structured interviews with open-ended questions, based on our theoretical review of operational practices and operational capabilities. The interviews were conducted face-to-face. In total, 73 interviews were performed in four different firms (21 - first case, 18 - second case, 18 - third case, 16 – fourth case). All interviews were recorded and transcribed literally in NVivo software. In quantitative stage, the sample was composed of 206 firms. The questionnaire creation involved an extensive review of the literature and also the use of the results of the analysis of the qualitative phase data. Q-sort was performed. Pre-test was administered to production managers. Measures were conducted to reduce Common Method Variance. A total of ten scales were used: 1) Continuous Improvement; 2) Information Management; 3) Learning; 4) Customer Support; 5) Innovation; 6) Operational Efficiency; 7) Flexibility; 8) Customization; 9) Supply Management; and 10) Operational Performance. We use Confirmatory Factor Analysis to conducted reliability, content, convergent, and discriminant validity. The data were analyzed using regressions. Our main results were: First, relate the operational practices as an antecedent of operational capabilities. Second, the creation of a typology divided into two constructs. The first construct is called Standalone Capabilities. This group consists of zero order capabilities such as Customer Support, Innovation, Operational Efficiency, Flexibility, Customization, and Supply Management. These capabilities aim to improve operational processes of the firm. They have a direct relationship with operational performance. Second construct is called Across-the-Board Capabilities. It is composed of first order capabilities such as Learning, Continuous Improvement, and Information Management. These capabilities are considered dynamic and they have the role to reconfigure Standalone Capabilities.
Operational capabilities são caracterizadas como um recurso interno da firma e fonte de vantagem competitiva. Porém, a literatura de estratégia de operações fornece uma definição constitutiva inadequada para as operational capabilities, desconsiderando a relativização dos diferentes contextos, a limitação da base empírica, e não explorando adequadamente a extensa literatura sobre práticas operacionais. Quando as práticas operacionais são operacionalizadas no ambiente interno da firma, elas podem ser incorporadas as rotinas organizacionais, e através do conhecimento tácito da produção se transformar em operational capabilities, criando assim barreiras à imitação. Apesar disso, poucos são os pesquisadores que exploram as práticas operacionais como antecedentes das operational capabilities. Baseado na revisão da literatura, nós investigamos a natureza das operational capabilities; a relação entre práticas operacionais e operational capabilities; os tipos de operational capabilities que são caracterizadas no ambiente interno da firma; e o impacto das operational capabilities no desempenho operacional. Nós conduzimos uma pesquisa de método misto. Na etapa qualitativa, nós conduzimos estudos de casos múltiplos com quatro firmas, duas multinacionais americanas que operam no Brasil, e duas firmas brasileiras. Nós coletamos os dados através de entrevistas semi-estruturadas com questões semi-abertas. Elas foram baseadas na revisão da literatura sobre práticas operacionais e operational capabilities. As entrevistas foram conduzidas pessoalmente. No total 73 entrevistas foram realizadas (21 no primeiro caso, 18 no segundo caso, 18 no terceiro caso, e 16 no quarto caso). Todas as entrevistas foram gravadas e transcritas literalmente. Nós usamos o sotware NVivo. Na etapa quantitativa, nossa amostra foi composta por 206 firmas. O questionário foi criado a partir de uma extensa revisão da literatura e também a partir dos resultados da fase qualitativa. O método Q-sort foi realizado. Um pré-teste foi conduzido com gerentes de produção. Foram realizadas medidas para reduzir Variância de Método Comum. No total dez escalas foram utilizadas. 1) Melhoria Contínua; 2) Gerenciamento da Informação; 3) Aprendizagem; 4) Suporte ao Cliente; 5) Inovação; 6) Eficiência Operacional; 7) Flexibilidade; 8) Customização; 9) Gerenciamento dos Fornecedores; e 10) Desempenho Operacional. Nós usamos análise fatorial confirmatória para confirmar a validade de confiabilidade, conteúdo, convergente, e discriminante. Os dados foram analisados com o uso de regressões múltiplas. Nossos principais resultados foram: Primeiro, a relação das práticas operacionais como antecedentes das operational capabilities. Segundo, a criação de uma tipologia dividida em dois construtos. O primeiro construto foi chamado de Standalone Capabilities. O grupo consiste de zero order capabilities tais como Suporte ao Cliente, Inovação, Eficiência Operacional, Flexibilidade, e Gerenciamento dos Fornecedores. Estas operational capabilities têm por objetivo melhorar os processos da firma. Elas têm uma relação direta com desempenho operacional. O segundo construto foi chamado de Across-the-Board Capabilities. Ele é composto por first order capabilities tais como Aprendizagem Contínua e Gerenciamento da Informação. Estas operational capabilities são consideradas dinâmicas e possuem o papel de reconfigurar as Standalone Capabilities.
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Coates, Graham. "An approach to operational design co-ordination." Thesis, University of Newcastle Upon Tyne, 2001. http://hdl.handle.net/10443/1571.

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Design co-ordination is aimed at improving the performance of the design development process. It can be viewed as providing the continuous coherent organisation and control of the assignment of inter-related tasks to the most relevant resources such that they can be undertaken and completed in a suitable order in a timely and appropriate manner. The nature of operational design co-ordination is discussed resulting in the identification of key issues, i. e. coherence, communication/interaction, task management, resource management, schedule management and real-time support. Based on these key issues, existing approaches related to operational engineering management have been critically reviewed and found to exhibit a number of fundamental limitations. In addition, aimed at addressing the key issues identified and overcoming the limitations of existing approaches, a set of requirements have been established that define an approach to operational design co-ordination. A novel, integrated and holistic approach to operational design co-ordination has been developed enabling the performance of the design development process to be improved. This approach consists of two components: a methodology and a knowledge modelling formalism. Further, the methodology consists of two parts: real-time and prospective. Real-time operational design co-ordination enables the coherent, timely and appropriate structured undertaking of inter-related tasks while continuously optimising the utilisation of the resources, in accordance with dynamically derived schedules, within a changeable design development process. Prospective operational design co-ordination facilitates the identification of deficiencies in terms of existing resources with respect to scheduled tasks and, thus, the assessment of proposed improvements to the resources. The knowledge modelling formalism of tasks, resources and schedules supports the methodology. Three practical case studies from engineering industry have been used to evaluate the approach. A prototype agent-oriented system, called the Design Co-ordination System, has been developed to evaluate the implementation of the real-time part of the methodology by applying it to a turbine blade design process. The prospective part of the methodology has been applied to practical case studies concerning a marine vessel conversion design programme and a rotary drum dryer design development process. Based on the evaluation of the approach, its strengths and weaknesses have been identified. Finally, areas of possible future work have been recommended to improve the approach and develop the Design Co-ordination System. In addition, based on industrial feedback, further applications of the approach have been suggested.
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Tipirisetty, Venkat Sivendra. "Performance Analysis of Service in Heterogeneous Operational Environments." Thesis, Blekinge Tekniska Högskola, Institutionen för kommunikationssystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13348.

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In recent years there is a rapid increase in demand for cloud services, as cloud computing has become a flexible platform for hosting microservices over the Internet. Microservices are the core elements of service oriented architecture (SOA) that facilitate the deployment of distributed software systems. As the user requires good quality of service the response time of microservices is critical in assessing the performance of the application from the end user perspective.This thesis work aims at developing a typical service architecture to facilitate the deployment of compute and I/O intensive services. The work also aims at evaluating the service times of these service when their respective subservices are deployed in heterogeneous environments with various loads.The research work has been carried out using an experimental testbed in order to evaluate the performance. The transport level performance metric called Response time is measured. It is the time taken by the server to serve the request sent by the client. Experiments have been conducted based on the objectives that are to be achieved.The results obtained from the experimentation contain the average service times of a service when it is deployed on both virtual and non-virtual environment. The virtual environment is provided by Docker containers. They also include the variation in position of their subservices. From results it can be concluded that the total service times obtained are less in case of non-virtual environments when compared to container environment.
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Books on the topic "Operational performance"

1

CIMA revision cards: Performance operations : operational level paper p1. 2nd ed. Amsterdan: Elsevier, 2009.

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Office, National Audit. The operational performance of PFI prisons. London: Stationery Office, 2003.

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Davies, Morris. Performance indicators: Targets and operational standards. Reading: Institute of Leisure and Amenity Management, 1999.

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Kaydos, W. J. Operational performance measurement: Increasing total productivity. Boca Raton, Fla: St. Lucie Press, 1999.

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Graeme, Jerald G. Optimizing op amp performance. New York: McGraw-Hill, 1997.

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Board, Ontario Workers' Compensation. Operational review of service performance: Interim report. [Ottawa]: the Board, 1992.

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National Research Council (U.S.). Transportation Research Board. and National Cooperative Highway Research Program., eds. Performance and operational experience of crash cushions. Washington, D.C: National Academy Press, 1994.

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Alher, Fabio. A strategic model of operational performance improvement. [s.l.]: typescript, 1998.

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General, Utah Legislature Office of the Legislative Auditor. A performance audit of higher education operational statistics. [Salt Lake City, Utah]: The Office, 1999.

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E, Bronstad M., National Research Council (U.S.). Transportation Research Board., American Association of State Highway and Transportation Officials., and United States. Federal Highway Administration., eds. Performance and operational experience of truck-mounted attenuators. Washington, D.C: National academy Press, 1992.

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Book chapters on the topic "Operational performance"

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Arundale, Keith. "Operational differences." In Venture Capital Performance, 112–64. Abingdon, Oxon ; New York, NY : Routledge, 2020. | Series: Routledge international studies in money and banking: Routledge, 2019. http://dx.doi.org/10.4324/9780429318214-7.

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Scheer, August-Wilhelm. "Operational Performance Support." In Unternehmung 4.0, 103–16. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-27694-2_6.

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Martin, Peter G. "Safety and Human Performance Excellence." In Operational Excellence, 127–33. Hoboken, NJ, USA: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781118990162.ch8.

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Vaz, Clara B., and Ângela P. Ferreira. "Environmental Performance Assessment of European Countries." In Operational Research, 215–32. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10731-4_15.

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Couto, Mário, and Ana Camanho. "Performance Evaluation of European Power Systems." In Operational Research, 73–89. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10731-4_6.

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Alves, Maria Emília Dias, and Maria C. A. Silva Portela. "Performance Evaluation of Parfois Retailing Stores." In Operational Research, 1–17. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20328-7_1.

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Elefteriadou, Lily. "Traffic Operational Performance Measures." In An Introduction to Traffic Flow Theory, 111–26. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8435-6_5.

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Romero, Paulo, and Martins Maciel. "Operational Analysis." In Performance, Reliability, and Availability Evaluation of Computational Systems, Volume I, 365–92. Boca Raton: Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003306016-8.

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Vigliotti, Maria Grazia. "Operational Semantics for Product-Form Solution." In Computer Performance Engineering, 16–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36781-6_2.

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Drury, Colin. "Operational control and performance measurement." In Management and Cost Accounting, 474–508. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4899-6828-9_17.

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Conference papers on the topic "Operational performance"

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Jose, S. J., G. Arango, P. Flichy, and J. Featherly. "Trusted Operations--Integrating Operational Performance, Safety and Security Assurance." In SPE Intelligent Energy Conference & Exhibition. Society of Petroleum Engineers, 2014. http://dx.doi.org/10.2118/167905-ms.

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Guillard, Alexis. "DNSSEC Operational Impact and Performance." In 2006 International Multi-Conference on Computing in Global Information Technology. IEEE, 2006. http://dx.doi.org/10.1109/iccgi.2006.27.

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Barnard, J. P., B. Lindner, and L. Auret. "Building operational performance monitoring tools." In 2015 IEEE 13th International Conference on Industrial Informatics (INDIN). IEEE, 2015. http://dx.doi.org/10.1109/indin.2015.7281978.

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Vader, Nathan. "Operational Carbon Emission Factor Literature Review." In 2022 Building Performance Analysis Conference and SimBuild. ASHRAE and IBPSA-USA, 2022. http://dx.doi.org/10.26868/25746308.2022.simbuild2022_c034.

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Vader, Nathan. "Operational Carbon Emission Factor Literature Review." In 2022 Building Performance Analysis Conference and SimBuild. ASHRAE and IBPSA-USA, 2022. http://dx.doi.org/10.26868/25746308.2022.c034.

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Ezzard, Andrew, Michael Vallone, and Robert McDonald. "Underpowered Aircraft -- Performance and Operational Possibilities." In 47th AIAA Aerospace Sciences Meeting including The New Horizons Forum and Aerospace Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2009. http://dx.doi.org/10.2514/6.2009-1441.

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Hemmens, Philip D. "Britannia: Preparing For Superior Operational Performance." In Offshore Europe. Society of Petroleum Engineers, 1997. http://dx.doi.org/10.2118/38527-ms.

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Koelle, Rainer. "Operational resilience performance of European airports." In 2015 Integrated Communication, Navigation, and Surveillance Conference (ICNS). IEEE, 2015. http://dx.doi.org/10.1109/icnsurv.2015.7121296.

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Simoes Re, A., and B. Veitch. "Lifeboat Operational Performance in Cold Environments." In Vessels Operating in Low Temperature Environments 2007. RINA, 2007. http://dx.doi.org/10.3940/rina.lt.2007.08.

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Turchin, Sergey. "Operational Performance Analysis of Mature Oilfields." In SPE Russian Oil and Gas Exploration and Production Technical Conference and Exhibition. Society of Petroleum Engineers, 2012. http://dx.doi.org/10.2118/160579-ms.

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Reports on the topic "Operational performance"

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Elder, B. L., Linda A. Hansen, and Donald L. Harville. Examining Operational Measures of Performance: Performance Measures Matrix. Fort Belvoir, VA: Defense Technical Information Center, June 1992. http://dx.doi.org/10.21236/ada251896.

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Erian, Fadel F., O. Dennis Mullen, and Michael I. Kellogg. Experience and Operational Improvements, Mixer Pump Performance. Office of Scientific and Technical Information (OSTI), March 2002. http://dx.doi.org/10.2172/15001239.

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Hyde, Dale, John R. Thomas, John Schrot, and W. F. Taylor. Quantification of Special Operations Mission-Related Performance: Operational Evaluation of Physical Measures. Fort Belvoir, VA: Defense Technical Information Center, February 1997. http://dx.doi.org/10.21236/ada381211.

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Hess, Paul E., and III. Reliability-Based Operational Performance Metrics for Ship Structures. Fort Belvoir, VA: Defense Technical Information Center, April 2003. http://dx.doi.org/10.21236/ada417207.

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Appelhans, Anthony D., John E. Olson, Matthew G. Watrous, Michael B. Ward, and David A. Dahl. Multi-collector Isotope Ratio Mass Spectrometer -- Operational Performance Report. Office of Scientific and Technical Information (OSTI), December 2010. http://dx.doi.org/10.2172/1009151.

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Kodupuganti, Swapneel R., Sonu Mathew, and Srinivas S. Pulugurtha. Modeling Operational Performance of Urban Roads with Heterogeneous Traffic Conditions. Mineta Transportation Institute, January 2021. http://dx.doi.org/10.31979/mti.2021.1802.

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The rapid growth in population and related demand for travel during the past few decades has had a catalytic effect on traffic congestion, air quality, and safety in many urban areas. Transportation managers and planners have planned for new facilities to cater to the needs of users of alternative modes of transportation (e.g., public transportation, walking, and bicycling) over the next decade. However, there are no widely accepted methods, nor there is enough evidence to justify whether such plans are instrumental in improving mobility of the transportation system. Therefore, this project researches the operational performance of urban roads with heterogeneous traffic conditions to improve the mobility and reliability of people and goods. A 4-mile stretch of the Blue Line light rail transit (LRT) extension, which connects Old Concord Rd and the University of North Carolina at Charlotte’s main campus on N Tryon St in Charlotte, North Carolina, was considered for travel time reliability analysis. The influence of crosswalks, sidewalks, trails, greenways, on-street bicycle lanes, bus/LRT routes and stops/stations, and street network characteristics on travel time reliability were comprehensively considered from a multimodal perspective. Likewise, a 2.5-mile-long section of the Blue Line LRT extension, which connects University City Blvd and Mallard Creek Church Rd on N Tryon St in Charlotte, North Carolina, was considered for simulation-based operational analysis. Vissim traffic simulation software was used to compute and compare delay, queue length, and maximum queue length at nine intersections to evaluate the influence of vehicles, LRT, pedestrians, and bicyclists, individually and/or combined. The statistical significance of variations in travel time reliability were particularly less in the case of links on N Tryon St with the Blue Line LRT extension. However, a decrease in travel time reliability on some links was observed on the parallel route (I-85) and cross-streets. While a decrease in vehicle delay on northbound and southbound approaches of N Tryon St was observed in most cases after the LRT is in operation, the cross-streets of N Tryon St incurred a relatively higher increase in delay after the LRT is in operation. The current pedestrian and bicycling activity levels seemed insignificant to have an influence on vehicle delay at intersections. The methodological approaches from this research can be used to assess the performance of a transportation facility and identify remedial solutions from a multimodal perspective.
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Watrous, Matthew, Anthony Appelhans, Robert Hague, John Olson, and Tracy Houghton. Multi-Collector Inductively Coupled Plasma Mass Spectrometer – Operational Performance Report. Office of Scientific and Technical Information (OSTI), June 2013. http://dx.doi.org/10.2172/1120795.

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Tsai, H. Performance of metal fuel elements in an operational overpower transient. Office of Scientific and Technical Information (OSTI), December 1995. http://dx.doi.org/10.2172/208340.

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Hugo, Jacques, David Gertman, and Jeffrey Joe. A Framework for Human Performance Criteria for Advanced Reactor Operational Concepts. Office of Scientific and Technical Information (OSTI), August 2014. http://dx.doi.org/10.2172/1166053.

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Li, Xiangkun, Samuel S. Booth, Sean R. Esterly, Edward I. Baring-Gould, Jonathan Clowes, Peter Weston, Parangat Shukla, Jon Thacker, and Arthur Jacquiau-Chamski. Performance Monitoring of African Micro-Grids: Good Practices and Operational Data. Office of Scientific and Technical Information (OSTI), January 2020. http://dx.doi.org/10.2172/1597244.

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