Dissertations / Theses on the topic 'Dynamic Performance Measurement'
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Salloum, Mohammed. "Towards dynamic performance measurement systems." Thesis, Mälardalen University, School of Innovation, Design and Engineering, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-10016.
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The purpose of this report is to single out and apply the most critical factors for dynamic performance meausrement systems. The report concludes that the existence in practice of theoretically important aspects are diverse and that the most appropriate way of governing the aspects are through the creation of a performance management process.
The theoretical chapter is established for dual purposes. The first is to give the reader a comprehensive understanding of what has been done in the field of performance measurement and management so far and the second is to answer the first research question imposed.
The empirical chapter investigates to what degree the existence of factors singled out in theory are present in practice. Further, the chapter also answers research question two.
Finally the result and analysis chapters focuses on cross-analysing the case studies made and generate a recommendation. Research question three is answered under these headings.
PREPARE
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KNOBEL, KARIN, and LOVISA LÆSTADIUS. "Big Data in Performance Measurement: : Towards a Framework for Performance Measurement in a Digital and Dynamic Business Climate." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-238689.
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In today’s business climate permeated by Big Data, an opportunity to drive performance lies in analysing consumer behaviour from user data. In particular for online content providers, user data is available in abundance and logged continuously. This leads to new possibilities for design and usage of metrics, as businesses can benefit from smart and timely decision-making. However, in order to profit from user data in performance measurement (PM), it is critical to identify metrics that truly guide decisions. Thus, an effective and efficient PM process is imperative. Despite its promise, Big Data’s role in PM has been scarcely researched. Research has studied user behaviour from data, for instance in the context of video or audio streaming and web search, but primarily with a focus on technical performance. In addition, the research on online content providers’ PM is fragmented, and has mainly been conducted by practitioners. Thus, the PM field needs to be updated to reflect today’s dynamic and digital business climate. Therefore, the purpose of this research was to explore how online content providers, generating a large amount of user data, work with PM, and also practically illustrate how metrics can be designed from user data. The research was carried out as a case study at an audio streaming company, but empirics was also gathered from other online content providers with the aim to increase the generalisability. The illustration of metric design was based on quantitative analysis of commuters’ in-car audio streaming. For commuters’ audio streaming it was found that suitable metrics should capture the habitual nature. Therefore engagement metrics were found to be applicable, for instance the fraction having sessions both in the morning and afternoon, and the fraction having more than one day commuting with the streaming service per week. In regard to online content providers’ PM process, this research contributes with a proposed framework, which was developed from three existing frameworks; HEART reflected as important measurement dimensions and translation of goals to metrics, OKR which sets the focus in terms of high-level goals, and design-implement-use reflected as the process’ phases. It was found that insights from user data and explicit user feedback are complementary and can arise throughout the whole process, and that mutual communication between data scientists and product managers is crucial. Further, four types of iterations were identified in the process; modifying a metric, designing new metrics, completely changing a metric, and starting new initiatives. Moreover, metrics were found to be highly context dependent. Additionally, four important aspects were identified in metric design; data availability and proxy assessment, characteristics and form of metric, metric trade-offs, and metric movement interpretation.I dagens affärsklimat genomsyrat av Big Data finns en möjlighet att driva resultat framåt genom analys av kundbeteenden från användardata. I synnerhet för online-tjänsteföretag samlas användardata kontinuerligt och finns tillgänglig i en oerhörd mängd. Detta skapar nya möjligheter för design och användande av mätetal då företag kan utveckla smartare och snabbare beslutsfattande. För att verkligen dra fördel av användardata i prestationsmätning (PM) är det dock kritiskt att identifiera mätetal som faktiskt bistår beslutsfattande, vilket följaktligen kräver en effektiv PM-process. Trots potentialen är forskning på Big Data inom PM begränsad. Studier har analyserat kundbeteenden från användardata, exempelvis i kontexten av strömmad video eller audio och webbsökningar, men primärt med fokus på tjänstens tekniska prestanda. Vidare är forskning på PM hos online-tjänsteföretag fragmenterad, och huvudsakligen genomförd av företag inom industrin. Följaktligen bör fältet aktualiseras för att reflektera dagens digitala och dynamiska affärsklimat. Därför var syftet med denna studie att utforska hur online-tjänsteföretag, som besitter stora mängder användardata, arbetar med PM, men även praktiskt illustrera hur mätetal kan designas från denna data. Studien genomfördes som en fallstudie på ett ljud-strömningsföretag, men empiri insamlades även från andra online-tjänsteföretag med avsikt att öka generaliserbarheten. Den praktiska illustrationen av mätetals-design baserades på en kvantitativ analys av pendlares audio-strömning i bil. För pendlares audio-strömning i bil fann denna studie att lämpliga mätetal bör fånga den vanemässiga aspekten associerad med pendling. Därmed anses mätetal som reflekterar engagemang lämpliga, exempelvis andelen som har sessioner både på förmiddagen och eftermiddagen och andelen som har mer än en dag med pendlar-sessioner i veckan. Gällande PM-processen hos online-tjänsteföretag bidrar denna studie med ett föreslaget ramverk som utvecklades från tre existerande ramverk; HEART som reflekteras i form av viktiga mätetalsdimensioner samt översättning av mål till mätetal, OKR vilket sätter fokus för processen i termer av mål på högre nivå, och designa-implementera-använda som reflekterar processens faser. I studien kom det fram att insikter från användardata och explicit användaråterkoppling kompletterar varandra, och att dessa kan uppkomma under hela processen. Vidare konstaterar denna studie att ömsesidig kommunikation mellan dataforskare och produktchefer är essentiellt. Dessutom identifierades fyra typer av iterationer som kan förekomma vid användning av mätetal; modifiera mätetal, designa nya mätetal, fullständigt förändra mätetal samt påbörja nya initiativ. Därutöver kan studien konstatera att mätetal är högst kontextberoende, och att det finns fyra viktiga aspekter att ta hänsyn till i mätetals-design; data-tillgänglighet och proxy-utvärdering, karaktäristik och form på mätetal, trade-off mellan mätetal, samt tolkning av mätetals-förändringar.
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Salloum, Mohammed. "Towards Dynamic Performance Measurement Systems : A framework for manufacturing organisations." Licentiate thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-12312.
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Consensus prevails that performance measurement systems should reflect the strategic direction of a company. Strategies are dynamic in nature while existing measurement systems are stable and predictable. The paradox of combining strategies with measurement systems has created problems for companies as the strategic context alters. Even though the literature surrounding the field is vast and dense there is a gap regarding how to keep measurement system up to date and dynamic. With the existing problem in mind, the objective of this research is to develop a framework that will support the realisation of dynamic performance measurement systems in manufacturing organisations. The research in this thesis has adopted a systems approach and is built around four case studies and two literature studies. The case studies have been conducted at manufacturing organisations on three different continents. The first literature study focused on the general literature in the field whilst the second literature study focused on the characteristics of dynamic performance measurement system in particular. The end-result of this research is a framework based on 19 factors systemised under five sub-headings: review process, IT system, management, employees and culture. In excess of the 19 factors, an additional two factors focalising on the realisation of the framework in practice finalises the end-result. As the research is derived from an industrial problem, this thesis provides an insight for academics of the contemporary struggles of manufacturing organisations with their performance measurement systems. Moreover, this framework provides practitioners with a foundation for making their performance measurement systems compatible and suitable for ever-changing content.
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Nowrouzi, Ardeshir. "The quasi static and dynamic behaviour of robot near the work." Thesis, Open University, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.254765.
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Karlsson, Stefan, and Erik Hansson. "Dynamic Load Generator: Synthesising dynamic hardware load characteristics." Thesis, Mälardalens högskola, Inbyggda system, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-28280.
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In this thesis we proposed and tested a new method for creating synthetic workloads. Our method takes the dynamic behaviour into consideration, whereas previous studies only consider the static behaviour. This was done by recording performance monitor counters (PMC) events from a reference application. These events were then used to calculate the hardware load characteristics, in our case cache miss ratios, that were stored for each sample and used as input to a load regulator. A signalling application was then used together with a load regulator and a cache miss generator to tune the hardware characteristics until they were similar to those of the reference application. For each sample, the final parameters from the load regulator were stored in order to be able to simulate it. By simulating all samples with the same sampling period with which they were recorded, the dynamic behaviour of the reference application could be simulated. Measurements show that this was successful for L1 D$ miss ratio, but not for L1 I$ miss ratio and only to a small extent for L2 D$ miss ratio. We were also able to show that the total convergence time for the regulator could be reduced by using case-based reasoning to select the initial parameters from similar samples.
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Brezina, Aron Jon. "Measurement of Static and Dynamic Performance Characteristics of Electric Propulsion Systems." Wright State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=wright1340066274.
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Villanova, Peter Danial. "Situational constraints: their measurement and role in a dynamic model of performance." Diss., Virginia Polytechnic Institute and State University, 1987. http://hdl.handle.net/10919/49902.
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Research on situational constraints has overlooked a number of important issues relevant to the generalizability of current findings, including the construct validity of current constraint measures, and an account of the role coping might play in mitigating the effects of constraints. Data from a two-wave panel design with college students as participants was used to investigate the above issues. The data indicated that the current conceptualization and measurement of constraints seems suitable to the task of testing substantive hypotheses. Furthermore, constraints measured with reference to a specific performance domain had greater predictive validity than those representing a general performance domain. The data did not support the contention that problem-focused coping and the perceived controllability of constraints would interact in the prediction of constraints, satisfaction, and performance. Several alternative explanations for the latter findings are offered. Finally, a number of suggestions for the conduct of future research using constraint, controllability, and coping constructs are outlined.Ph. D.
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Wang, Yi. "E-business assimilation and organizational dynamic capability : antecedents and consequences." HKBU Institutional Repository, 2009. http://repository.hkbu.edu.hk/etd_ra/984.
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Adduci, Michael Douglas. "Dynamic Measurement of Intraoral Pressure and Sound Pressure With Laryngoscopic Characterization During Oboe Performance." Thesis, University of North Texas, 2011. https://digital.library.unt.edu/ark:/67531/metadc103281/.
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Measurements of intraoral pressure (IOP) and sound pressure level (SPL) were taken of four oboists as they performed two sets of musical exercises: (1) crescendo-decrescendo from pp to ff and back to pp on the pitches D4, G4, C5 and A5, and (2) straight and vibrato performances of the same four pitches at mf. Video images of the vocal tract were also made using flexible fiberoptic nasoendoscopy (FFN). IOP and SPL data were captured in real time by the WinDaq®/Lite software package, with the dB meter located 8-9 inches in directly front of the oboe bell. The study yielded minimum and maximum values from 21.04 to 57.81 mm Hg and from 65.53 to 100.89 dB across all pitches examined. Discussion is included for the following topics: (1) the oboe’s sound envelope, or functional range of IOP and SPL values at different pitch levels, including the nonlinearity in the relationship between IOP and SPL on the oboe, (2) the static activation and kinetic maintenance thresholds for reed vibration, (3) the effect of vibrato on IOP/SPL, (4) the utilization of the vocal tract during execution of dynamic changes and vibrato, and (5) the impact of player experience on control of physical variables.
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Stone, James. "The impact of supply chain performance measurement systems on dynamic behaviour in supply chains." Thesis, Aston University, 2012. http://publications.aston.ac.uk/16508/.
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The amplification of demand variation up a supply chain widely termed ‘the Bullwhip Effect’ is disruptive, costly and something that supply chain management generally seeks to minimise. Originally attributed to poor system design; deficiencies in policies, organisation structure and delays in material and information flow all lead to sub-optimal reorder point calculation. It has since been attributed to exogenous random factors such as: uncertainties in demand, supply and distribution lead time but these causes are not exclusive as academic and operational studies since have shown that orders and/or inventories can exhibit significant variability even if customer demand and lead time are deterministic. This increase in the range of possible causes of dynamic behaviour indicates that our understanding of the phenomenon is far from complete. One possible, yet previously unexplored, factor that may influence dynamic behaviour in supply chains is the application and operation of supply chain performance measures. Organisations monitoring and responding to their adopted key performance metrics will make operational changes and this action may influence the level of dynamics within the supply chain, possibly degrading the performance of the very system they were intended to measure. In order to explore this a plausible abstraction of the operational responses to the Supply Chain Council’s SCOR® (Supply Chain Operations Reference) model was incorporated into a classic Beer Game distribution representation, using the dynamic discrete event simulation software Simul8. During the simulation the five SCOR Supply Chain Performance Attributes: Reliability, Responsiveness, Flexibility, Cost and Utilisation were continuously monitored and compared to established targets. Operational adjustments to the; reorder point, transportation modes and production capacity (where appropriate) for three independent supply chain roles were made and the degree of dynamic behaviour in the Supply Chain measured, using the ratio of the standard deviation of upstream demand relative to the standard deviation of the downstream demand. Factors employed to build the detailed model include: variable retail demand, order transmission, transportation delays, production delays, capacity constraints demand multipliers and demand averaging periods. Five dimensions of supply chain performance were monitored independently in three autonomous supply chain roles and operational settings adjusted accordingly. Uniqueness of this research stems from the application of the five SCOR performance attributes with modelled operational responses in a dynamic discrete event simulation model. This project makes its primary contribution to knowledge by measuring the impact, on supply chain dynamics, of applying a representative performance measurement system.
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Moody, Seth Sinclair. "Development of Dynamic Thermal Performance Metrics for Eco-roof Systems." PDXScholar, 2013. http://pdxscholar.library.pdx.edu/open_access_etds/666.
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In order to obtain credit for an eco-roof in building energy load calculations the steady state and time-varying thermal properties (thermal mass with evapotranspiration) must be fully understood. The following study presents results of experimentation and modeling in an effort to develop dynamic thermal mass performance metrics for eco-roof systems. The work is focused on understanding the thermal parameters (foliage & soil) of an eco-roof, further validation of the EnergyPlus Green Roof Module and development of a standardized metric for assessing the time-varying thermal benefits of eco-roof systems that can be applied across building types and climate zones. Eco-roof foliage, soil and weather parameters were continuously collected at the Green Roof Integrated PhotoVoltaic (GRIPV) project from 01/20/2011 to 08/28/2011. The parameters were used to develop an EnergyPlus eco-roof validation model. The validated eco-roof model was then used to estimate the Dynamic Benefit for Massive System (DBMS) in 4 climate-locations: Portland Oregon, Chicago Illinois, Atlanta Georgia and Houston Texas. GRIPV30 (GRIPV soil with 30% soil organic matter) was compared to 12 previously tested eco-roof soils. GRIPV30 reduced dry soil conductivity by 50%, increased field capacity by 21% and reduced dry soil mass per unit volume by 60%. GRIPV30 soil had low conductivity at all moisture contents and high heat capacity at moderate and high moisture content. The characteristics of the GRIPV30 soil make it a good choice for moisture retention and reduction of heat flux, improved thermal mass (heat storage) when integrating an eco-roof with a building. Eco-roof model validation was performed with constant seasonal moisture driven soil properties and resulted in acceptable measured - modeled eco-roof temperature validation. LAI has a large impact on how the Green Roof Module calculates the eco-roof energy balance with a higher impact on daytime (measured - modeled) soil temperature differential and most significant during summer. DBMS modeling found the mild climates of Atlanta Georgia and Houston Texas with eco-roof annual DBMS of 1.03, 3% performance improvement above the standard building, based on cooling, heating and fan energy consumption. The Chicago Illinois climate with severe winter and mild spring/summer/fall has an annual DBMS of 1.01. The moderate Portland Oregon climate has a below standard DBMS of 0.97.
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Beange, Kristen. "Validation of Wearable Sensor Performance and Placement for the Evaluation of Spine Movement Quality." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/38698.
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Inertial measurement units (IMUs) are being recognized as a portable and cost-effective alternative to motion analysis systems and have the potential to be introduced into clinical settings for the assessment of functional movement quality of the spine in patients with low back pain. However, uncertainties regarding sensor accuracy and reliability are limiting the widespread use and acceptance of IMU-based assessments into routine clinical practice. The objective of this work was to assess the performance of inexpensive wearable IMUs (Mbientlab MetaMotionR IMUs; Mbientlab Inc., San Francisco, USA; product specifications available in Appendix C) relative to conventional optical motion capture equipment (Vicon Motion Systems Ltd., Oxford, UK) in: 1) a controlled environment, and 2) an uncontrolled environment.
The first study evaluated the performance of 2 IMUs in a controlled environment during simulated repetitive spine motion carried out by means of a motorized gimbal. Root mean square error (RMSE) and mean absolute measurement differences between cycle-to-cycle minimum, maximum, and range of motion values, as well as correlational analyses within IMUs and between IMUs and Vicon, in all movement directions (i.e., simulated flexion-extension (FE), lateral bending (LB), and axial twisting (AT)), were compared. Measurement error was low in all axes during all tests (i.e., ≤ 1.54°); however, low-to-moderate correlational results were found in one non-primary axis, and this axis changed depending on the direction of the movement (i.e., LB during FE-motion (0.244 ≤ R ≤ 0.515), AT during LB-motion (0.594 ≤ R ≤ 0.795), and FE during AT-motion (0.002 ≤ R ≤ 0.255)).
The second study was designed to assess the performance of the IMUs in an uncontrolled environment during repetitive spine FE in human participants. Absolute angles and local dynamic stability were compared for individual IMUs (which were placed over T10-T12 spinous processes, and the pelvis) as well as for relative motion between IMUs. Maximum finite-time Lyapunov exponents (λmax) were used to quantify local dynamic stability and were calculated using both FE and the sum of squares (SS) from measured spine kinematics. It was found that the IMUs have acceptable performance in all axes when tracking motion (RMSE ≤ 2.43°); however, low-to-moderate correlational results were found in one non-primary axis (0.987 ≤ RFE ≤ 0.998; 0.746 ≤ RLB ≤ 0.978; 0.343 ≤ RAT ≤ 0.679). In addition, correlations between λmax estimates were high; therefore, local dynamic stability can be accurately estimated using both FE and SS data (0.807 ≤ 〖ICC〗_2,1^FE ≤ 0.919; 0.738 ≤ 〖ICC〗_2,1^SS ≤ 0.868). Correlation between λmax estimates was higher when using FE data for individual sensors/rigid-body marker clusters; however, correlation was higher when using SS data for relative motion.
In general, the results of these studies show that the MetaMotionR IMUs have acceptable performance in all axes when considering absolute angle orientation and motion tracking, and measurement of local dynamic stability; however, there is low-to-moderate correlation in one non-primary axis, and that axis changes depending on the direction of motion. Future research will investigate how to optimize performance of the third axis for motion tracking; it will also focus on understanding the significance of the third axis performance when calculating specific outcome measures related to spine movement quality.
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Schiller, Benjamin, Clemens Deusser, Jeronimo Castrillon, and Thorsten Strufe. "Compile- and run-time approaches for the selection of efficient data structures for dynamic graph analysis." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-214219.
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Graphs are used to model a wide range of systems from different disciplines including social network analysis, biology, and big data processing. When analyzing these constantly changing dynamic graphs at a high frequency, performance is the main concern. Depending on the graph size and structure, update frequency, and read accesses of the analysis, the use of different data structures can yield great performance variations. Even for expert programmers, it is not always obvious, which data structure is the best choice for a given scenario.
In previous work, we presented an approach for handling the selection of the most efficient data structures automatically using a compile-time approach well-suited for constant workloads.
We extend this work with a measurement study of seven data structures and use the results to fit actual cost estimation functions. In addition, we evaluate our approach for the computations of seven different graph metrics. In analyses of real-world dynamic graphs with a constant workload, our approach achieves a speedup of up to 5.4× compared to basic data structure configurations.
Such a compile-time based approach cannot yield optimal results when the behavior of the system changes later and the workload becomes non-constant. To close this gap we present a run-time approach which provides live profiling and facilitates automatic exchanges of data structures during execution. We analyze the performance of this approach using an artificial, non-constant workload where our approach achieves speedups of up to 7.3× compared to basic configurations.
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Schiller, Benjamin, Clemens Deusser, Jeronimo Castrillon, and Thorsten Strufe. "Compile- and run-time approaches for the selection of efficient data structures for dynamic graph analysis." Springer International Publishing, 2016. https://tud.qucosa.de/id/qucosa%3A29974.
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Graphs are used to model a wide range of systems from different disciplines including social network analysis, biology, and big data processing. When analyzing these constantly changing dynamic graphs at a high frequency, performance is the main concern. Depending on the graph size and structure, update frequency, and read accesses of the analysis, the use of different data structures can yield great performance variations. Even for expert programmers, it is not always obvious, which data structure is the best choice for a given scenario.
In previous work, we presented an approach for handling the selection of the most efficient data structures automatically using a compile-time approach well-suited for constant workloads.
We extend this work with a measurement study of seven data structures and use the results to fit actual cost estimation functions. In addition, we evaluate our approach for the computations of seven different graph metrics. In analyses of real-world dynamic graphs with a constant workload, our approach achieves a speedup of up to 5.4× compared to basic data structure configurations.
Such a compile-time based approach cannot yield optimal results when the behavior of the system changes later and the workload becomes non-constant. To close this gap we present a run-time approach which provides live profiling and facilitates automatic exchanges of data structures during execution. We analyze the performance of this approach using an artificial, non-constant workload where our approach achieves speedups of up to 7.3× compared to basic configurations.
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Sharif, Ather Khaja. "Dynamic performance investigation of base isolated structures." Thesis, Imperial College London, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.313399.
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Davis, Ethan J. "Vehicle dynamics measurement system for evaluating older driver performance." [Gainesville, Fla.] : University of Florida, 2006. http://purl.fcla.edu/fcla/etd/UFE0014284.
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Santos, Sérgio Pereira dos. "Adding value to performance measurement by using system dynamics and multicriteria analysis." Doctoral thesis, University of Strathclyde, 2004. http://hdl.handle.net/10400.1/4503.
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Tese de dout., Filosofia, Department of Management Science, University of Strathclyde, 2004Measuring performance either formally or informally is a common practice in most organisations. It is well established that performance measurement plays a critical role in organisations, signalling how well they are succeeding in achieving their objectives and identifying where improvement efforts are required. In an attempt to respond to the assessment needs of organisations, several performance measurement frameworks have been developed over the years. However, in spite of the remarkable progress that has been made in the development of better integrated, balanced and strategically driven performance measurement frameworks, there are issues which deserve further research if these frameworks are to provide a stronger basis from which to manage effectively for improvement. Informed by the literature review and conceptual experimentation, this thesis aims to show that the use of system dynamics (SD) and multiple criteria decision analysis (MCDA), individually and in an integrated manner, can address some of these issues and bring new insights to inform and support the different stages of the performance measurement and management process. To this purpose, a framework incorporating the integrated use of SD and MCDA is suggested and its conceptual coherence and practical relevance is discussed. The conceptual coherence is illustrated by a simple but realistic application in the health care sector. The practical relevance of the framework is assessed in an organisational setting, taking the form of three in-depth case studies. Several conclusions are drawn regarding the potential role of SD and MCDA to add value to the performance measurement and management process, including an assessment of their suitability, limitations, and implementation issues associated with this particular context.
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Taylor, Creed. "Measurement of Finned-Tube Heat Exchanger Performance." Thesis, Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/4890.
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Finned-tube heat exchangers are predominantly used in space conditioning systems, as well as other applications requiring heat exchange between two fluids. One important widespread use is in residential air conditioning systems. These residential cooling systems influence the peak demand on the U.S. national electrical system, which occurs on the hot summer afternoons, and thereby sets the requirement for the expensive infrastructure requirement of the nations power plant and electrical distribution system. In addition to this peak demand, these residential air conditioners are major energy users that dominate residential electrical costs and environmental impact.
The design of finned-tube heat exchangers requires the selection of over a dozen design parameters by the designer. The refrigerant side flow and heat transfer characteristics inside the tubes have been thoroughly studied. However, the air side flow around the tube bundle and through the fin gaps is much more complex and depends on over a dozen design parameters. Therefore, experimental measurement of the air side performance is needed.
First this study built an experimental system and developed methodology for measuring the air side heat transfer and pressure drop characteristics of fin tube heat exchangers. This capability was then used to continue the goal of expanding and clarifying the present knowledge and understanding of air side performance to enable the air conditioner system designer in verifying an optimum fin tube condenser design.
In this study eight fin tube heat exchangers were tested over an air flow face velocity range of 5 ?? ft/s (675-1600cfm). The raw data were reduced to the desired heat transfer and friction data, j and f factors. This reduced heat transfer and friction data was plotted versus Reynolds number and compared. The effect of fin spacing, the number of rows and fin enhancement were all investigated. The heat transfer and friction data were also plotted and compared with various correlations available from open literature. The overall accuracy of each correlation to predict experimental data was calculated. Correlations by C.C. Wang (1998b, 1999) showed the best agreement with the data. Wangs correlations (1998b, 1999) were modified to fit the current studys data.
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Santos, Sergio Pereira. "Adding value to performance measurement by using system dynamics and multicriteria analysis." Thesis, University of Strathclyde, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.405473.
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Ben, Said Anis. "Gestion dynamique des connaissances de maintenance pour des environnements de production de haute technologie à fort mix produit." Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAI017/document.
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Le progrès constant des technologies électroniques, la courte durée de vie commerciale des produits, et la diversité croissante de la demande client font de l’industrie du semi-conducteur un environnement de production contraint par le changement continu des mix produits et des technologies. Dans un tel environnement, le succès dépend de la capacité à concevoir et à industrialiser de nouveaux produits rapidement tout en gardant un bon niveau de critères de coût, rendement et temps de cycle. Une haute disponibilité des capacités de production est assurée par des politiques de maintenance appropriées en termes de diagnostic, de supervision, de planification et des protocoles opératoires. Au démarrage de cette étude, l’approche AMDEC (analyse des modes de défaillance, leurs effets et de leur criticité) était seule mobilisée pour héberger les connaissances et le savoir-faire des experts. Néanmoins, la nature évolutive du contexte industriel requiert la mise à jour à des fréquences appropriées de ces connaissances pour adapter les procédures opérationnelles aux changements de comportements des équipements et des procédés. Cette thèse entend montrer que la mise à jour des connaissances peut être organisée en mettant en place une méthodologie opérationnelle basée sur les réseaux bayésiens et la méthode AMDEC. Dans cette approche, les connaissances et les savoir-faire existants sont tout d’abord capitalisés en termes des liens de cause à effet à l’aide de la méthode d’AMDEC pour prioriser les actions de maintenance et prévenir leurs conséquences sur l’équipement, le produit et la sécurité des personnels. Ces connaissances et savoir-faire sont ensuite utilisés pour concevoir des procédures opérationnelles standardisées permettant le partage des savoirs et savoir-faire des experts. Les liens causaux stockés dans l’AMDEC sont modélisés dans un réseau bayésien opérationnel (O-BN), afin de permettre l’évaluation d’efficacité des actions de maintenance et, par là même, la pertinence des connaissances existantes capitalisées. Dans un contexte incertain et très variable, l’exécution appropriée des procédures est mesurée à l’aide des indicateurs standards de performance de maintenance (MPM) et la précision des connaissances existantes en évaluant la précision de l’O-BN. Toute dérive de ces critères conduit à l'apprentissage d'un nouveau réseau bayésien non-supervisé (U-BN) pour découvrir de nouvelles relations causales à partir de données historiques. La différence structurelle entre O-BN et U-BN met en évidence de nouvelles connaissances potentielles qui sont validées par les experts afin de modifier l’AMDEC existante ainsi que les procédures de maintenance associées. La méthodologie proposée a été testée dans un des ateliers de production contraint par un haut mix de produits pour démontrer sa capacité à renouveler dynamiquement les connaissances d’experts et d'améliorer l'efficacité des actions de maintenance. Cette expérimentation a conduit à une diminution de 30% des reprises d’opérations de maintenance attestant une meilleure qualité des connaissances modélisées dans les outils fournis par cette thèseThe constant progress in electronic technology, the short commercial life of products, and the increasing diversity of customer demand are making the semiconductor industry a production environment constrained by the continuous change of product mix and technologies. In such environment, success depends on the ability to develop and industrialize new products in required competitive time while keeping a good level of cost, yield and cycle time criteria. These criteria can be ensured by high and sustainable availability of production capacity which needs appropriate maintenance policies in terms of diagnosis, supervision, planning and operating protocols. At the start of this study, the FMEA approach (analysis of failure modes, effects and criticality) was only mobilized to capitalize the expert’s knowledge for maintenance policies management. However, the evolving nature of the industrial context requires knowledge updating at appropriate frequencies in order to adapt the operational procedures to equipment and processes behavior changes.This thesis aims to show that the knowledge update can be organized by setting up an operational methodology combine both Bayesian networks and FMEA method. In this approach, existing knowledge and know-how skills are initially capitalized in terms of cause to effect links using the FMEA method in order to prioritize maintenance actions and prevent their consequences on the equipment, the product quality and personal safety. This knowledge and expertise are then used to develop unified operating procedures for expert’s knowledge and know-how sharing. The causal links stored in the FMEA are modeled in an operational Bayesian network (BN-O), in order to enable the assessment of maintenance actions effectiveness and, hence, the relevance of existing capitalized knowledge. In an uncertain and highly variable environment, the proper execution of procedures is measured using standards maintenance performance measurement indicators (MPM). Otherwise, the accuracy of existing knowledge can be assessed as a function of the O-BN model accuracy. Any drift of these criteria leads to learning a new unsupervised Bayesian network (U-BN) to discover new causal relations from historical data. The structural difference between O-BN (built using experts judgments) and U-BN (learned from data) highlights potential new knowledge that need to be analyzed and validated by experts to modify the existing FMEA and update associated maintenance procedures.The proposed methodology has been tested in a production workshop constrained by high product mix to demonstrate its ability to dynamically renew expert knowledge and improve the efficiency of maintenance actions. This experiment led to 30% decrease in failure occurrence due to inappropriate maintenance actions. This is certifying a better quality of knowledge modeled in the tools provided by this thesis
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George, Rodney Martin, and rod george@arrb com au. "Towards performance-based route selection guidelines for heavy vehicles (the dynamics of heavy vehicles over rough roads)." Swinburne University of Technology, 2003. http://adt.lib.swin.edu.au./public/adt-VSWT20060629.100558.
Full textAbstract:
With an increasing number of transport operators seeking permits to operate nonstandard
or purpose-built vehicle types, information is required to assist road authorities
to determine which vehicle types could operate on the road network without
compromising the safety of other road users.
A project was created by ARRB TR to develop guidelines for determining route access
for heavy vehicles. This project was developed in conjunction with the state road
authorities, the National Road Transport Commission and the transport industry to
obtain an understanding of the road space requirements for a range of common vehicle
types. This project is the subject of this thesis.
Two series of field experiments were conducted with six common heavy vehicle types
on public roads west of Parkes NSW. Information collected during these full-scale
experiments was used to increase the knowledge of the dynamic behaviour of these
vehicles and to develop model route access guidelines. Data obtained from these field
experiments also provided information to validate computer models and simulation
outputs.
This thesis showed that:
1) There was experimental evidence to demonstrate that vehicle lateral movement is
excited by differences in vehicle wheelpath profiles (point-by-point pavement
crossfall), which make a contribution to trailing fidelity (swept width), offtracking
and swept path;
2) Vehicle type and speed are prime influences on the lateral movement of the rear
trailer and therefore an important input into the model route access guidelines.
Notwithstanding the practical and safety implications of applying different speed
limits for various vehicle types, speed is a prime contributor to vehicle lateral
movement and should be considered when determining route access;
3) Limited lateral position information suggested that one driver of two vehicle types
position the vehicles so that the tyres on the rear trailer track on the sealed
pavement and not on the pavement shoulder;
4) Based on a statistical analysis of the data obtained from the small sample which
only considered the average crossfall of each test section the relative importance of
the key parameters was (highest to lowest), IRI, vehicle speed and vehicle type.
It was shown that good estimates of lateral movement can be obtained using a double
integration technique of the measured lateral acceleration, without applying
compensation for the trailer roll or the pavement crossfall.
It is recommended that route access guidelines be developed using the lateral
performance of a larger sample of vehicles in each class of heavy vehicles operating
over a larger range of road types. The route access guidelines should contain a matrix
of information on vehicle type/length, pavement condition roughness/profile and lane
width. This would provide operators and regulators with a desk-top assessment tool for
determining route access.
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Anagnostopoulos, Jason. "The integration of strategy cause mapping and system dynamics for performance measurement development and management." Thesis, University of Strathclyde, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.502316.
Full textAbstract:
Organizations are working in a changing environment. It is well established that performance measurement plays a critical role in organizations, signaling how well they are succeeding in achieving their objectives and identifying where improvement efforts are required. However, in spite of the remarkable progress in the field of performance measurement development, it is recognized that there are still 'issues' which deserve further research, if performance measurement systems are to receive a better understanding of key objectives, identification of the key "determinants" for organizational performance, performance measures selection and the improvement of the overall validity. Informed by the literature review and empirical evidence, this thesis aims to show that the use of Strategy Cause Mapping and (SCM) and System dynamics (SD) in an integrated way could support the design, implementation and use of more effective performance measurement systems.
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Treschl, Jakub. "Analýza akcelerační a decelerační charakteristiky vozidla." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2017. http://www.nusl.cz/ntk/nusl-318717.
Full textAbstract:
This master's thesis designs acceleration and deceleration measurement method by a test drive. It contains also measurement realisation, design of the computational model and acquired data analysis and evaluation.
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Šteffek, Libor. "Simulace energetické náročnosti a reálné užívání budov." Doctoral thesis, Vysoké učení technické v Brně. Fakulta stavební, 2020. http://www.nusl.cz/ntk/nusl-433629.
Full textAbstract:
This dissertation thesis primarily focuses on the experimental measurement of energy consumption of a given energy-passive family house as well as theoretical research in the field of energy calculations using computer simulations. The results of quasi-stationary and dynamic simulations, with varying computational and real-time climate data, are compared with experimental measurements. Using the dynamic calculation model, which was validated by actually measured data, the relationship between architectural design and the energy performance of the building was analyzed. The influence of selected different operating modes for heat consumption on heating, cooling, ventilation, and interior overheating is observed. The result of the mutual interaction of several input parameters of variant solutions provides the basis for optimization of the whole design.
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Zhang, Yitian. "STUDIES TO IMPROVE EXHAUST SYSTEM ACOUSTIC PERFORMANCE BY DETERMINATION AND ASSESSMENT OF THE SOURCE CHARACTERISTICS AND IMPEDANCE OPTIMIZATION." UKnowledge, 2016. http://uknowledge.uky.edu/me_etds/77.
Full textAbstract:
It is shown that the relationship between an impedance change and the dynamic response of a linear system is in the form of the Moebius transformation. The Moebius transformation is a conformal complex transformation that maps straight lines and circles in one complex plane into straight lines and circles in another complex plane. The center and radius of the mapped circle can be predicted provided that all the complex coefficients are known. This feature enables rapid determination of the optimal impedance change to achieve desired performance.
This dissertation is primarily focused on the application of the Moebius transformation to enhance vibro-acoustic performance of exhaust systems and expedite the assessment due to modifications. It is shown that an optimal acoustic impedance change can be made to improve both structural and acoustic performance, without increasing the overall dimension and mass of the exhaust system. Application examples include mufflers and enclosures. In addition, it is demonstrated that the approach can be used to assess vibration isolators. In many instances, the source properties (source strength and source impedance) will also greatly influence exhaust system performance through sound reflections and resonances. Thus it is of interest to acoustically characterize the sources and assess the sensitivity of performance towards source impedance. In this dissertation, the experimental characterization of source properties is demonstrated for a diesel engine. Moreover, the same approach can be utilized to characterize other sources like refrigeration systems. It is also shown that the range of variation of performance can be effectively determined given the range of source impedance using the Moebius transformation.
This optimization approach is first applied on conventional single-inlet single-outlet exhaust systems and is later applied to multi-inlet multi-outlet (MIMO) systems as well, with proper adjustment. The analytic model for MIMO systems is explained in details and validated experimentally. The sensitivity of MIMO system performance due to source properties is also investigated using the Moebius transformation.
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Vestin, Albin, and Gustav Strandberg. "Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms." Thesis, Linköpings universitet, Reglerteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020.
Full textAbstract:
Today, the main research field for the automotive industry is to find solutions for active safety. In order to perceive the surrounding environment, tracking nearby traffic objects plays an important role. Validation of the tracking performance is often done in staged traffic scenarios, where additional sensors, mounted on the vehicles, are used to obtain their true positions and velocities. The difficulty of evaluating the tracking performance complicates its development. An alternative approach studied in this thesis, is to record sequences and use non-causal algorithms, such as smoothing, instead of filtering to estimate the true target states. With this method, validation data for online, causal, target tracking algorithms can be obtained for all traffic scenarios without the need of extra sensors. We investigate how non-causal algorithms affects the target tracking performance using multiple sensors and dynamic models of different complexity. This is done to evaluate real-time methods against estimates obtained from non-causal filtering. Two different measurement units, a monocular camera and a LIDAR sensor, and two dynamic models are evaluated and compared using both causal and non-causal methods. The system is tested in two single object scenarios where ground truth is available and in three multi object scenarios without ground truth. Results from the two single object scenarios shows that tracking using only a monocular camera performs poorly since it is unable to measure the distance to objects. Here, a complementary LIDAR sensor improves the tracking performance significantly. The dynamic models are shown to have a small impact on the tracking performance, while the non-causal application gives a distinct improvement when tracking objects at large distances. Since the sequence can be reversed, the non-causal estimates are propagated from more certain states when the target is closer to the ego vehicle. For multiple object tracking, we find that correct associations between measurements and tracks are crucial for improving the tracking performance with non-causal algorithms.
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Ho, Yi-Ruei, and 何奕叡. "The Frequency of Performance Measurement affecting The Enterprise Performance—A System Dynamic Approach." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/08792391486282853823.
Full textAbstract:
碩士國立中正大學
企業管理所
97
In the recent years, Balanced Scorecard (BSC) has been popular with its performance measurement method. By this method, it can not only focuses on few key performance indicators but also by connecting the causality of its four dimensions, furthermore, it also provides the manager with a method to plan, control and implement the company’s strategy on both financial and non-financial dimension. Also, there were some researches of balanced scorecard investigating how to overcome its drawbacks such as its lack of the multi-directional causality between the performance indicators, the lack of the consideration on time delay and the lack of the validity on establishing the key performance indicators (KPI). By these researches, they make the development of balanced scorecard become more consummate. However, in reviewing it’s past defects under dynamic environment, the article finds that the past research of the BSC usually tend to focuses on the establishing process i.e. the process of strategy, objectives, measurement, stretch targets, and action plan. On the contrary, there are still few researches concerning how to select the frequency of measurement performance and the research often judges it by the rule of thumb under in static environmental condition. Therefore, in order to investigate the influence on the BSC performance by changing the frequency of the performance measurement indicators under the dynamic environment, the article, through a case study approach, firstly analyze the operation model of the case company and take an in-depth interview with the manager to co-establish the causal-loop of the company operating model. Then, we use System Dynamics (SD) as an analysis tool to simulate the change of the performance measurement frequency in order to analyses the effect of frequency on the objective performance. In this study, we hope the research of the performance measurement frequency can provide the manager with a method to inspect the regulatory mechanism behind the different effect of performance measurement frequencies on the company. On the other hand, we also want to provide a reasonable time reference for establishing a phase target when the companies try to the implement the Balanced Scorecard''s strategy.
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楊儒銘. "Dynamic Performance Measurement and Real-Time Simulation of a MicroTurbojet Engine." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/81931642194841008313.
Full textAbstract:
碩士中華大學
機械與航太工程研究所
90
ABSTRACT In this stady, a micro gas turbine engine is used to formulate its dynamic response transfer function and compare with its test data to understand the development of a engine management system. The steady-state performance of the engine is studied first. The results show that the servo command to the output of fuel flow rate and engine thrust has a linear relationship between 10000rpm and 120000rpm. The design point of the engine has a compression ratio of 2.35 with a efficiency of 0.54. Second the dynamic response of the engine is examined through the Bode plot. The transfer function that best fit the test data is a first order system for rotational speed and engine thrust, a second order system for exhaust gas temperature. The rotational speed and engine thrust increas monotonically but the exhaust gas temperature shows an overshoot and a undershoot for a step change. The response of rotational speed and engine thrust are almost identical. The fitted transfer functions of the above three quantities are compared with several sets of test data and show a good agreement. Finally, several operating parameters are used to study the deviation of the engine response for a step change. Changing the fuel from 50% gasoline and 50% kerosene to pure gasoline,the rotational speed show a delay at the beginning of jump,but catches up the original system for remaining part of the jump . This could be due to the mixing rate of the pure gasoline at the early stage of fuel jump. Using 100% of kerosene, the response is slower compared to the original output. This may be due to the fuel vaporization rate is low. The inlet temperature increases from 300C to 500C the response is faster slightly. This may be due to a higher of chemical reaction rate. Changing the fuel flow pressure level from 6 kg/cm to 7 kg/cm ,the response of the step change is faster significantly. When the servo actuator changed to a slow one, the step change is delayed at the beginning of the jump. Further study of the shape of combustion chember fuel spray, and rotor inertia is necessary to understand more of the engine response.
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Chen, Jun-Hao, and 陳俊豪. "A Dynamic Measurement of Operator Performance and Mental workload in Vigilance tasks." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/43375367951553416346.
Full textAbstract:
碩士國立清華大學
工業工程與工程管理學系
95
It requires a great deal of continuous attention for operator in supervisory systems. Either lacking in vigilance or information overload may lead to human errors and result in calamitous accidents. Therefore, understanding operator mental state in supervisory task is important. Diagnosis and monitoring are the major tasks of operators in vigilance state. Operator’s mental workload influences his/her performance, and furthermore, affects the system safety and operations. This study investigated the operator’s mental workload of the supervisory task. The performance and the subjective mental workload, NASA-TLX scores as well as seven physiological indexes was assessed and measured. The results indicated that vigilance performance and physiological index are related to subjective ratings, and a regression model was constructed to estimate operator’s mental workload dynamically for further enhancing supervising safety.
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Lu, Yaojen, and 呂曜任. "A New Dynamic Model Of Performance Measurement On Industrial Technology Commercialization Management." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/87995962488615835451.
Full textAbstract:
碩士義守大學
管理學院管理碩博士班
100
Due to the fast development on global economic changes and recession, the management of industrial technology commercialization becomes an important issue for most business to take. According to several literature surveys, it is little relevant research has been found. In this paper we propose a new dynamic model of performance measurement on Industrial Technology Commercialization Management. In this research, we construct a performance index set, which includes four parts: customer commercialization criteria, technology commercialization management’s 12 items of key skill, four dimensions of performance measurement guidelines of Balanced Score Card and some relevant literature. Respectively, according to the six stages management process of the performance indicators requirements, we categorized the various index with Plan , Do and Check in each stage. We provide performance evaluation matrix, improve policy suggestion chart as dynamic cycle tools. In this research we also propose an algorithm with five steps, which is called as a new dynamic model of performance measurement on Industrial Technology Commercialization Management.
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Chirathadam, Thomas. "Metal Mesh Foil Bearings: Prediction and Measurement for Static and Dynamic Performance Characteristics." Thesis, 2012. http://hdl.handle.net/1969.1/148301.
Full textAbstract:
Gas bearings in oil-free micro-turbomachinery for process gas applications and for power generation (< 400 kW) must offer adequate load capacity and thermal stability, reliable rotordynamic performance at high speeds and temperatures, low power losses and minimal maintenance costs. The metal mesh foil bearing (MMFB) is a promising foil bearing technology offering inexpensive manufacturing cost, large inherent material energy dissipation mechanism, and custom-tailored stiffness and damping properties. This dissertation presents predictions and measurements of the dynamic forced performance of various high speed and high temperature MMFBs.
MMFB forced performance depends mainly on its elastic support structure, consisting of arcuate metal mesh pads and a smooth top foil. The analysis models the top foil as a 2D finite element (FE) shell supported uniformly by a metal mesh under-layer. The solution of the structural FE model coupled with a gas film model, governed by the Reynolds equation, delivers the pressure distribution over the top foil and thus the load reaction. A perturbation analysis further renders the dynamic stiffness and damping coefficients for the bearing. The static and dynamic performance predictions are validated against limited published experimental data.
A one-to-one comparison of the static and dynamic forced performance characteristics of a MMFB against a Generation I bump foil bearing (BFB) of similar size, with a slenderness ratio L/D=1.04, showcases the comparative performance of MMFB against a commercially available gas foil bearing design. The measurements of rotor lift-off speed and drag friction at start-up and airborne conditions are conducted for rotor speeds up to 70 krpm and under identical specific loads (W/LD =0.06 to 0.26 bar). The dynamic force coefficients of the bearings are estimated, in a ‘floating bearing’ type test rig, while floating atop a journal spinning to speeds as high as 50 krpm and with controlled static loads (22 N) applied in the vertical direction. The parameter identification is conducted in the frequency range of 200-400 Hz first, and then up to 600 Hz using higher load capacity shakers.
A finite element rotordynamic program (XLTRC2) models a hollow rotor and two MMFBs supporting it and predict the synchronous rotor response for known imbalances. The predictions agree well with the ambient temperature rotor response measurements. Extensive rotor response measurements and rotor and bearing temperature measurements, with a coil heater warming up to 200 ºC and placed inside the hollow rotor, reveal the importance of adequate thermal management.
The database of high speed high temperature performance measurements and the development of a predictive tool will aid in the design and deployment of MMFBs in commercial high-speed turbomachinery. The work presented in the dissertation is a cornerstone for future analytical developments and further testing of practical MMFBs.
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Huang, Shin-Fengm, and 黃士峯. "Construction of dynamic insertion loss experiment and its application on performance measurement for silencers." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/58696387841186767922.
Full textAbstract:
碩士國立臺灣海洋大學
系統工程暨造船學系
95
The objective of this paper is to set up a set of rational experimental environments for testing the performance of silencers. The performance of several silencers can be determined by the laboratory experiment procedure. The results can be used as the control of duct noise in the industrial field. In order to confirm the exactness of an experiment environment, we have done a series of research for the properties of the airflow and sound pressure level, such as average pressure measurement in empty ducts and average sound pressure level measurement. Simultaneously, we focus on the measurements and studies of insertion loss, dynamic insertion loss, pressure drop, pressure drop coefficient, and airflow velocity. Finally, the feasibility of this laboratory has been verified via numerous experiments and analyses.
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Lin, Yu-Wei, and 林育葳. "A Study of Dynamic Performance Measurement Model on Service Technology Commercialization Management and Applications." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/7mk2j5.
Full textAbstract:
碩士義守大學
管理碩博士班
103
Recently, the theory and application model of Industrial Technology Commercialization have been well published and developed, but it is few to introduce with the Management of Industrial Technology Commercialization. In general, Technologies comes from many fields, and it tries to search methods (technologies) to solve some specific problem. It is a motivation of pulling market requirement by getting technologies. The management cycles of Industrial Technology Commercialization are processed between a new technology and a new management problem. In this research, we consider the management process of a new Service- Business Technology Commercialization includes 6 stages: technology concept phase, service business design phase, first-article business running phase, business promotion/marketing phase, business formal running phase and after service phase. In the first five phases, it should pass each phase design-review. Hopefully, it will meet the customer requirements. Constructing the performance measurement indexes in this research, we consider three majors fields from literatures which are Balanced Scorecard for Quality Management, ITC (Industry Technology Commercialization) critical technologies, and Costumer, s commercialization requirement conditions. In this research, we propose a dynamic model of BIC algorithm. With several cycle operations, it provide service- business to get a prototype performance measurement index set and a continuous improvement result of performance measurement index set. We also provide numerical examples to verify the validity of this model.
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Liao, Yu-Wen, and 廖郁雯. "Using System Dynamic Concept to Research the Performance Measurement System in the Teaching Hospital." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/25467913430224745573.
Full textAbstract:
碩士逢甲大學
會計所
96
Abstract The new era of National Health Insurance has impacted the management of the hospitals significantly. The medical organization has faced the competition pressure which is different from the past, not only management profit is compressed but also the medical institutional framework is impacted. In order to match the changes of environment, so the medical institute manager must have the core systematic ability to measure itself and generate various management strategy to reach the better management performance. This research finds out the 14 key indicators of Balance score card through the documents and practices and will use the Causal Relationship via the concept of the systematic dynamics to develop the performance measurement system in teaching hospital by reinforcing, balancing and delaying time in the various feedback loops. Use the systematic dynamic concept modeling course to show up those factors such as various kinds of policy, interactive relationships an d time delay etc. which will influence the growth and stability in the physical structure of hospital system. With global thinking system to clearly see the interactive structure in events and to offer better management policy to reach the goal of the continuous improvement management performance. By Observing and analyzing the influence in the management performance of teaching hospital vs strategy policy, action scheme to understand the Causal Relationship within the system; under the discovery of the research, the case hospital can improve medical quality by investing in training and growing up to elevate medical quality, customer satisfaction, market share and reach the desirable value goal of the project of case hospital. It can be very easy to make corresponding strategy action plan with systematic dynamic concept to research performance measurement system. The strategy action making by the hospital can be widely and flexibly used because the system is analyzed and measured with the comprehensive and global viewpoint. Therefore, the administrator or the manager can refer to this system and ponder over the competitive strategy of the hospital, through building constructing simulation analysis to find the key factor influencing the system, then improve systematic performance and management scheme and to reach the continuous management goal of the hospital. Keywords：System Dynamic Concept、Performance Measurement、Strategy、Balanced Scorecard,（BSC)
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Lee, Cheng-Ying, and 李政穎. "A Study on the Verification of Measurement Model and Relationship between the Change Leadership, Dynamic Capabilities and School Performance." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/8x44tk.
Full textAbstract:
博士國立臺中教育大學
教育學系
107
This study refers to the study of the change leadership, dynamic capabilities and school performance measurement model verification and relationship of the primary school principals. Among them, the dynamic capabilities are used as the research intermediary variable to find out the dynamic capabilities in the principal change leadership and school performance relationship. This study adopts the investigation and research method. Taking the teachers of Taiwan's public primary schools as the research object, a stratified random sampling method is adopted, and a total of 681 teachers' effective questionnaires are obtained. After effectively recovering the questionnaire, the SPSS statistical software package is used for project analysis, factor analysis and reliability analysis. Then, the AMOS statistical software is used to analyze the structural equation path relationship between the variables and the hypothesis verification, and the Bootstrap estimation technique is applied to calculate. The significant level of mediation effect is to understand the mediating effect of dynamic ability in the relationship between principal change and school performance. The study found that 1. Primary school principals change leadership, dynamic capabilities and school performance are in good condition; 2. Primary school principals have a good measurement model for change leadership, dynamic capabilities and school performance; 3. There is a positive impact between primary school principals change leadership, dynamic capabilities and school performance; 4. Dynamic capabilities have a mediating effect on the relationship between school performance and school principals change leadership. Finally, based on the results of the study, conclusions and recommendations are provided for reference by schools and future research.
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(9690776), Bing Li. "EXAMINATION OF LITHIUM-ION BATTERY PERFORMANCE DEGRADATION UNDER DYNAMIC ENVIRONMENT AND EARLY DETECTION OF THERMAL RUNAWAY WITH INTERNAL SENSOR MEASUREMENT." Thesis, 2020.
Find full textAbstract:
Performance degradation of lithium-ion batteries (LIBs) from in-service abuse was analyzed using novel dynamic abuse tests and sensor-based in-situ monitoring of battery state of health (SOH). The relation between dynamic impact and structure changes of LiCoO2 (LCO) electrode was analyzed through a nano-impact test directly applied to the electrode and Raman imaging. After the electrode structure damage induced by the dynamic loading was analyzed, the performance of the LIBs with the abused electrodes was evaluated to establish the relation between the number of impact cycles and LIB performance degradation. The mechanism of impact related LIB capacity decrease was analyzed, and the capacity change can be predicted based on the impact abuse history using this approach. In order to provide more detailed information on the battery performance degradation caused by the in-service dynamic loads, a dynamic aging testing platform was designed to simulate in-service vibration and impact experienced by the LIBs. Based on the lessons learned, a sensor network was constructed to provide a comprehensive in-situ evaluation of the SOH of commercial batteries. Mechanisms of LIB capacity fade, temperature increase, and cell deformation from cycling in representative dynamic environments were analyzed and correlated with theoretical predictions. Difference between the aging of a battery pack and that of a single cell was also investigated, which presented the influence of current imbalance on the SOH decay of battery packs. SEM imaging, Raman imaging, and electrochemical impedance spectroscopy (EIS) analysis were also applied to support the sensor network measurements. In order to provide an early detection of catastrophic LIB failure such as thermal runaway, an internal resistance temperature detector (RTD) based electrode temperature monitoring approach was developed. By embedding the RTD into LIBs with 3D printing technique, electrode temperature can be collected during ordinary cycling and electrical abuse of LIBs, such as external short circuit and overcharge. The internal RTD presented high measuring efficiency, while there was no interference between the sensor measurement and battery operation. The internal RTD detected the short circuit event and overcharge failure prior of time: the efficiency of the internal RTD was 6-10 times higher than the external RTD in the short circuit test. This provided the chance for early detection and prevention of catastrophic LIB failures. Besides, with the detailed information on electrode temperature evolution during LIB thermal runaway available, the internal RTD also provided the chance to enhance the understanding of the thermal runaway mechanism.
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Chen, Jia, and 陳佳. "A study of using the viewpoint of Dynamic Balanced Scorecard to establish the performance measurement indicators for the service area of highway--the case study of HuKou service area." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/49251398043197136181.
Full textAbstract:
碩士淡江大學
會計學系碩士在職專班
95
The most advantageous tendering is for the purpose of private sector’s participation in service area of highway tried to use the efficiency operation of the private sectors to increase the managing performance. But different department and managers see performance from different point of view. It is a research of using the viewpoint of Dynamic Balanced Scorecard to establish the performance measurement indicators for the case study of company in service area of highway, providing concrete performance evaluation and data, and connecting with every performance measurement indicators , and accumulating the data materials according to it .It could provide reference resources of performance measurement indicators for service area of highway. It is different from avoiding to connect with performance measurement indicators each other in the past, and to display completely the content of perspectives. From interviews with experts and the analysis from question-and-answer, the four major evaluation perspectives are as follows: First, employee satisfaction, investment in information system and point on sales are measured in learning and growth perspective. Second, technical skill such as the ability of purchasing and originality skill such as the ability of planning marketing are measured in internal process perspective. Third, the quality of goods and services are measured by customer perspective. Finally, revenue and cost and net income and cash flow are measured by financial perspective. These major indexes can explain the relationship between their causes and result , demonstrate the internal operation and the operation result of the target case. The information is useful for business to locate and diagnose problems after the performance evaluation. It can analysis the dispute questions between of the management department and financial department, through the appearing of causal loop pictures, It could provide appropriately the suggestions for the different departments. And it could provide the concrete comment of performance evaluation of managing and financial department to find out the explanation from them.
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Shih, Chaun-wen, and 施朝文. "The Study of LPG Engine Dynamic Model and Performance Measurements." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/94442072625892229618.
Full textAbstract:
碩士國立中興大學
機械工程學系
87
To use Liquid Petroleum Gas (LPG) as an alternative fuel is a excellent method to wildly utilize the world energy source.As the LPG vehicles have lower emissions than the gasoline vehicles,people who care about environment are concerned on this characteristic.This paper presents three major parts：The first is the discussions of the effects of LPG engine performance and emission.According to the results of our experiments,the throttle size of mixer strongly influences the engine performance.Based on the prosperity mixer,the LPG engine presents 6~7﹪power less than the gasoline engine power,Air-to-Fuel ratio strongly effects the emission,the total hydrocarbon and total OFP of the LPG emission is less than that of gasoline.Otherwise ,it is necessary to have an early spark angle on LPG engine,but the more early angle will cause the difficulty of engine start. The second part is concerned on the HC components of the LPG emission,according to our analysis of emission samples,unburned LPG is an important part of the LPG HC emission.Using carbon numbers to compare with gosoline emission,we find that gosoline HC components distribute widely,but LPG emission components focus on low carbon number components.Ethylene and Propene present the major parts of the emission Ozone forming potential . The third part is establishing the model of LPG engine fuel system,and compare with the real engine state.We find that fuel system has almost no effect on LPG system characteristics,A/F total delay is caused by the mixture manifold delay and the intake manifold delay.
39
Fang, Chia-Ti, and 方佳娣. "Using System Dynamics Approach to Construct a Performance Measurement Model for Supply Chain Management." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/97797234558463928362.
Full textAbstract:
碩士淡江大學
資訊管理學系
89
By definition, Supply Chain Management (SCM) represents a systematic effort to provide integrated management to the Supply Value Chain to meet customer needs and expectations, from suppliers of raw material through manufacturing and on to end customers.” Yet to evaluate the behavior of a SCM system, a credible performance measurement model is apparently significant. This research uses System Dynamics approach to construct a real model for the performance measurement of SCM. By analyzing the interactions between elements within the performance measurement system, it can be helpful to clarify the structure and the dynamic nature of Supply chain management. Along with model construction, scenario analysis throughout this SCM performance measurement system is implemented with a view to make system modeling complete and constructive. Refer to the simulation results obtained from the model, complicated managerial policy decisions such as demand planning, quality control and marketing related decisions can be estimated and resolved. This study uses a practical case of pharmacy industry supply chain to proof the effectiveness and reliability of this model.
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Yang, Qi William. "Applying Qualitative System Dynamics to Enhance Performance Measurement for a Sustainable Health System in British Columbia." Thesis, 2015. http://hdl.handle.net/1828/6566.
Full textAbstract:
The current approach to performance measurement in British Columbia is to select and match performance measures with strategic goals and objectives so that health administrators and decision makers can evaluate the performance of different care sectors (e.g. primary, community and acute care) within the provincial health system. Although this approach offers basic understanding of system performance, it is static and considers the performance of organizational components in isolation from their interrelationships and external influences. The purpose of this research is to enhance the current performance measurement approach in BC by linking health system variables through causal relationships and feedback loops that can impact and lead to health system sustainability. The qualitative system dynamics method was applied to develop a conceptual performance measurement model. Fifteen interviews with stakeholders were conducted at the BC Ministry of Health to validate and improve the pre-validation model. A post-validation model was then created based on the feedback and comments from the 15 interview participants. As a product of this research, the post-validation model, Web of Measures 2.0, will explain how the identified cause and feedback mechanisms both internal and external to the BC health system may help determine policy levers for designing and developing quality improvement initiatives. Although quantitative analysis is out of scope for this research, potential benefits of inputting BC data into the proposed model are discussed at the end of this thesis.Graduate
0769
0790
qi.william.yang@gmail.com
41
Melbi, Alexander. "Measuring a Platoon Commander's Performance in a Complex, Dynamic and Information Rich Environment." Thesis, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177203.
Full textAbstract:
Command and control (C2) environments are complex, dynamic and rich in information. Thus, measuring the performance of an agent in a C2-system, in this case a platoon commander, poses a challenging task for the researcher. To measure the performance of a platoon commander in this thesis, the OODA loop is used as a model for representing the four processes in which the platoon commander is engaged in during a military C2 mission. In accordance with these processes, performance measurements for the platoon commander are identified. The relevance of the performance measurements, to the C2 tasks and goals of the platoon commander, are tested through three studies conducted in a simulated warfare scenario, and two workshops, one with a platoon commander and one with two scientists. As a result of the studies and workshops, an assessment tool for measuring the C2 tasks and goals of the platoon commander, is developed. This assessment tool consists of modified versions of the Crew Awareness Rating Scale (CARS), the Situation Awareness Global Assessment Technique (SAGAT) and the NASA-Task Load Index (NASA-TLX), as well as generic performance measurements measuring fratricide, deaths and completion of overarching goal.
42
Zolezzi, Stefano Alberto. "The effectiveness of dynamic assessment as an alternative aptitude testing strategy." Thesis, 1995. http://hdl.handle.net/10500/17878.
Full textAbstract:
The present study sets out to evaluate the effectiveness of a dynamic approach to aptitude
testing. It was proposed that it is not always appropriate to use conventional aptitude
tests to predict future academic success in the South African context. The study posited
the belief that an alternative testing format could be facilitated by using a test-train-test
procedure within a learning potential paradigm.
The learning potential paradigm as formulated through Vygotskian and Feuersteinian
theory is operationalised in the form of a Newtest Battery. The Newtest procedure is in
direct contrast to traditional approaches to aptitude testing. The latter approaches both
implicitly and explicitly adopt a static view of ability, whereas the Newtest approach
focuses on the learning potential of the testee, as well as consequent performance.
However, the assessment of learning potential poses problems of its own. Modifications
were introduced to ensure that the Newtest format is both appropriate and
psychometrically defensible. The construction and evaluation of the Newtest Battery is
described.
A sample of both advantaged and disadvantaged students were tested on a battery of
traditional aptitude tests. This group of students was contrasted with another sample of
both advantaged and disadvantaged students who undertook the Newtest Battery in the
modified dynamic testing format. The traditional measures of aptitude were found to be
invalid predictors of university success. Matric results showed a relationship with
academic success for both groups. The Newtest measures enhanced the prediction of
academic success for both advantaged and disadvantaged students. The Deductive
Reasoning dynamic measure was found to be a valid predictor of university success for the
disadvantaged students.
The results thus successfully extend the learning potential paradigm into the realm of
group aptitude testing. The validity of traditional aptitude test measures has been brought
into question by the findings of the study. The study points the way forward to a more
equitable and relevant aptitude testing procedure.
Finally, it was shown that the testing environment forms part of the socio-educational
context. Personnel involved in the administration of aptitude tests are given guidelines
\vi th the aim of equalising the test process.Psychology of Education
D. Ed. (Psychology of Education)
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Kassie, Mulugeta Gebre-Medhin, and Mulugeta Gebre-Medhin Kassie. "Market orientation and business performance : an empirical study of the banking sector in Ethiopia." Thesis, 2015. http://hdl.handle.net/10500/19157.
Full textAbstract:
The purpose of this study was to examine the relationship between market orientation and business performance mediated by marketing resources and moderated by contextual factors. The study also examined the extent to which the conceptual model was a good fit to the sample data. A quantitative approach was used to test if there was a significant relationship between market orientation, marketing resources, and business performance. For the purpose, a cross-sectional survey was carried out to obtain data pertaining to market orientation, marketing resources, contextual factors and business performance. The unit of analysis of the study was banks consisting of 3 public and 15 private banks. A sample size of 507 consisting of 492 branch managers and 15 top level marketing managers was used in the survey. With a response rate of 87.97%, 446 questionnaires were collected of which 377 were used for data analysis.
A SEM was used to test the extent to which the theoretical model fits the sample data. Mediation analysis was used to test the indirect effect of market orientation on business performance and hierarchical regression analysis was used to test whether the relationship was moderated by market dynamism, competitive intensity, and government regulation. Finally, an independent t – test was used to examine the statistical variations between public and private banks in terms of market orientation, marketing resources, and business performance.
The confirmatory factor analysis revealed that the modified model was fit with the observed data in terms of chi-square and the individual indices. The total effect of market orientation on business performance was moderate with a 0.36 regression coefficient. The indirect effect was high with a 0.91 regression coefficient where complete and inconsistent mediation was found due to suppression effect. The moderation analysis revealed that the interaction effect of market dynamism, competitive intensity, and government regulation was not statistically significant. Finally the result showed that there was a statistically meaningful difference between public and private banks in terms of market orientation, marketing resources, and business performance.
Banks in Ethiopia shall strive to segment the market, differentiate their services, and build a strong brand with clear identity. Banks in Ethiopia shall also build on their marketing resources to enhance their business performance.Business Management
D.B.L.
44
Kassie, Mulugeta Gebre-Medhin. "Market orientation and business performance : an empirical study of the banking sector in Ethiopia." Thesis, 2015. http://hdl.handle.net/10500/19157.
Full textAbstract:
The purpose of this study was to examine the relationship between market orientation and business performance mediated by marketing resources and moderated by contextual factors. The study also examined the extent to which the conceptual model was a good fit to the sample data. A quantitative approach was used to test if there was a significant relationship between market orientation, marketing resources, and business performance. For the purpose, a cross-sectional survey was carried out to obtain data pertaining to market orientation, marketing resources, contextual factors and business performance. The unit of analysis of the study was banks consisting of 3 public and 15 private banks. A sample size of 507 consisting of 492 branch managers and 15 top level marketing managers was used in the survey. With a response rate of 87.97%, 446 questionnaires were collected of which 377 were used for data analysis.
A SEM was used to test the extent to which the theoretical model fits the sample data. Mediation analysis was used to test the indirect effect of market orientation on business performance and hierarchical regression analysis was used to test whether the relationship was moderated by market dynamism, competitive intensity, and government regulation. Finally, an independent t – test was used to examine the statistical variations between public and private banks in terms of market orientation, marketing resources, and business performance.
The confirmatory factor analysis revealed that the modified model was fit with the observed data in terms of chi-square and the individual indices. The total effect of market orientation on business performance was moderate with a 0.36 regression coefficient. The indirect effect was high with a 0.91 regression coefficient where complete and inconsistent mediation was found due to suppression effect. The moderation analysis revealed that the interaction effect of market dynamism, competitive intensity, and government regulation was not statistically significant. Finally the result showed that there was a statistically meaningful difference between public and private banks in terms of market orientation, marketing resources, and business performance.
Banks in Ethiopia shall strive to segment the market, differentiate their services, and build a strong brand with clear identity. Banks in Ethiopia shall also build on their marketing resources to enhance their business performance.Business Management
D.B.L.