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Quantification of Margins and Uncertainty (QMU) is a decision support methodology for complex technical decisions. QMU focuses on the identification, characterization, and analysis of performance thresholds and their associated margins for engineering systems that are evaluated under conditions of uncertainty, particularly when portions of those results are generated using computational ...
The objective of building performance simulation is the quantification of aspects of building performance which are relevant to the design, construction, operation and control of buildings. [1] Building performance simulation has various sub-domains; most prominent are thermal simulation, lighting simulation, acoustical simulation and air flow ...
Performance-Based Building Design is an approach to the design of any complexity of building, from single-detached homes up to and including high-rise apartments and office buildings. A building constructed in this way is required to meet certain measurable or predictable performance requirements, such as energy efficiency or seismic load ...
Performance: speed at which the Work Center runs as a percentage of its designed speed. Quality: Good Units produced as a percentage of the Total Units Started. It is commonly referred to as the first pass yield (FPY). To calculate the Total Effective Equipment Performance(TEEP), the OEE is multiplied by a fourth component:
Accurately measuring this metric with OLE can pinpoint performance improvement opportunities down to the individual level. Calculation: Performance = Actual output of the operators / the expected output (or labor standard) Example: Two employees (workforce) are scheduled to work an 8-hour (480 minute) shift with a 30-minute scheduled break.
Consider a quality characteristic with a target of 100.00 μm and upper and lower specification limits of 106.00 μm and 94.00 μm, respectively. If, after carefully monitoring the process for a while, it appears that the process is out of control and producing output unpredictably (as depicted in the run chart below), one can't meaningfully estimate its mean and standard deviation.
This performance measure has less stochasticity and subjectivity in comparison to other pavement performance indicators, such as PCI, but it is not completely devoid of randomness. [3] The sources of variability in IRI data include the difference among the readings of different runs of the test vehicle and the difference between the readings of ...
Techno-economic assessment or techno-economic analysis (abbreviated TEA) is a method of analyzing the economic performance of an industrial process, product, or service. The methodology originates from earlier work on combining technical, economic and risk assessments for chemical production processes. [ 1 ]