scholarly journals Sustainability performance model: A case study of pneumatic nipple hose connector

Author(s):  
H A Salaam
Author(s):  
Albara M. Mustafa ◽  
Abbas Barabadi ◽  
Tore Markeset ◽  
Masoud Naseri

AbstractWind farms (WFs) experience various challenges that affect their performance. Mostly, designers focus on the technical side of WFs performance, mainly increasing the power production of WFs, through improving their manufacturing and design quality, wind turbines capacity, their availability, reliability, maintainability, and supportability. On the other hand, WFs induce impacts on their surroundings, these impacts can be classified as environmental, social, and economic, and can be described as the sustainability performance of WFs. A comprehensive tool that combines both sides of performance, i.e. the technical and the sustainability performance, is useful to indicate the overall performance of WFs. An overall performance index (OPI) can help operators and stakeholders rate the performance of WFs, more comprehensively and locate the weaknesses in their performance. The performance model for WFs, proposed in this study, arranges a set of technical and sustainability performance indicators in a hierarchical structure. Due to lack of historical data in certain regions where WFs are located, such as the Arctic, expert judgement technique is used to determine the relative weight of each performance indicator. In addition, scoring criteria are predefined qualitatively for each performance indicator. The weighted sum method makes use of the relative weights and the predefined scoring criteria to calculate the OPI of a specific WF. The application of the tool is illustrated by a case study of a WF located in the Norwegian Arctic. Moreover, the Arctic WF is compared to another WF located outside the Arctic to illustrate the effects of Arctic operating conditions on the OPI.


Author(s):  
Michael Gorelik ◽  
Jacob Obayomi ◽  
Jack Slovisky ◽  
Dan Frias ◽  
Howie Swanson ◽  
...  

While turbine engine Original Equipment Manufacturers (OEMs) accumulated significant experience in the application of probabilistic methods (PM) and uncertainty quantification (UQ) methods to specific technical disciplines and engine components, experience with system-level PM applications has been limited. To demonstrate the feasibility and benefits of an integrated PM-based system, a numerical case study has been developed around the Honeywell turbine engine application. The case study uses experimental observations of engine performance such as horsepower and fuel flow from a population of engines. Due to manufacturing variability, there are unit-to-unit and supplier-to-supplier variations in compressor blade geometry. Blade inspection data are available for the characterization of these geometric variations, and CFD analysis can be linked to the engine performance model, so that the effect of blade geometry variation on system-level performance characteristics can be quantified. Other elements of the case study included the use of engine performance and blade geometry data to perform Bayesian updating of the model inputs, such as efficiency adders and turbine tip clearances. A probabilistic engine performance model was developed, system-level sensitivity analysis performed, and the predicted distribution of engine performance metrics was calibrated against the observed distributions. This paper describes the model development approach and key simulation results. The benefits of using PM and UQ methods in the system-level framework are discussed. This case study was developed under Defense Advanced Research Projects Agency (DARPA) funding which is gratefully acknowledged.


Author(s):  
Iman Askar Hawi

  Purpose: This study is intended to improve the Sustainability performance in the Al- Fayha / Basra branch Ready Construction Co limited relationship between the strategy of risk management and requirements of the business continuity and investigation of the findings. Methodology: Making up a conceptual model of the business continuity tracks flow in the Al- Fayha / Basra branch Ready Construction Co limited The model is based on the interactive relationship between the risk management and requirements of the business continuity of Some help was available quantitative methods, relying on a combination of descriptive and quantitative approaches, in order for the accuracy of the results. results: the Al- Fayha / Basra branch Ready Construction Co limited been the subject matter of the research. It lacks the conceptual pattern that systemizes , integrates and directs its main components towards a comprehensive improvement of the company. In addition it requires relative interest in the strategic role of the strategy of risk management and its dual effects on both the business continuity and the Sustainability performance of the Company. The main recommendations were to identify the risks that affect the business continuity of the company, to control them in order to achieve full response to all business continuity requirements.    


Author(s):  
Paul Katuse ◽  
Juliana Mulaa Namada ◽  
Francis W. Wambalaba

The concept of transnational education seems to have sprang from dormancy to heightened activity in the last three decades. Higher education institutions (HEI) have been growing and moving from one nation to another in pursuit of realization of certain set goals. These goals have a clear bearing on the mission of the institution. This chapter gives an overview of the perspectives open to HEI, it elaborates on the process of assessment of mission outcomes of an institution on the basis of its strategic fit between its resources and its environment. A more specific comparison of Baldridge criteria as a performance model with the business sector is explored; however, the basic assumption of the writers was that HEI are nonprofit-oriented organizations. Further, through a case study which is a university in Africa with historic connections to the US, the process of assessment is explained. It is through the experience which the team went through as the conducted the assessment that recommendations and conclusions were given.


2019 ◽  
Vol 30 (5-6) ◽  
pp. 353-368 ◽  
Author(s):  
Sonal Choudhary ◽  
Rakesh Nayak ◽  
Manoj Dora ◽  
Nishikant Mishra ◽  
Abhijeet Ghadge

2014 ◽  
Vol 39 ◽  
pp. 934-948 ◽  
Author(s):  
Snjolfur Olafsson ◽  
David Cook ◽  
Brynhildur Davidsdottir ◽  
Lara Johannsdottir

2011 ◽  
Vol 19 (1) ◽  
pp. 107-135 ◽  
Author(s):  
Enrique Yeguas ◽  
Robert Joan-Arinyo ◽  
María Victoria Luzón

The availability of a model to measure the performance of evolutionary algorithms is very important, especially when these algorithms are applied to solve problems with high computational requirements. That model would compute an index of the quality of the solution reached by the algorithm as a function of run-time. Conversely, if we fix an index of quality for the solution, the model would give the number of iterations to be expected. In this work, we develop a statistical model to describe the performance of PBIL and CHC evolutionary algorithms applied to solve the root identification problem. This problem is basic in constraint-based, geometric parametric modeling, as an instance of general constraint-satisfaction problems. The performance model is empirically validated over a benchmark with very large search spaces.


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