Benchmarking metrics

Overall sampling quality — quantitative analysis. For dynamical trajectories, the "structural decorrelation time" analysis [10] can estimate the slowest timescale affecting significant configuration-space populations and hence yield the effective sample size. For non-dynamical simulations, a variance analysis based on multiple runs is called for [1]. Analyzing the variance in populations of approximate physical states appears to be promising as a benchmark metric. 

Benchmark metrics used to compare process performance to objective, external points of reference... 

The fourth level is implementahon between partners of the supply chain. From January 2007 organizahons using SCOR have had access to benchmark metrics. 

In this chapter, we focus on strategies, tools and metrics that help chemical choosers to green their chemical product inventories and to benchmark progress. The term chemical chooser applies to those who purchase chemicals for use in the development of formulated products or those who purchase formulated chemical products for use in their use in activities such as maintenance, repair and operations. Most product manufacturers are chemical and material choosers in contrast to chemical or raw material manufacturers who process, synthesize and supply chemicals as raw materials. 

A common metric used to compare different alternative fuels and power trains to a benchmark fuel and vehicle are C02 avoidance costs, which take into account cost of fuel, infrastructure and vehicles. However, depending on the calculation methods, and system boundaries, as well as the assumptions about C02 emissions reduction achievable and vehicle prices relative to the benchmark, significant variations in C02 avoidance costs are possible. For this reason, the discussion about C02 avoidance costs is not addressed in great detail. 

Horvath, D. and Jeandenans, C. (2003) Neighborhood behavior of in silico structural spaces with respect to in vitro activity spaces - a benchmark for neighborhood behavior assessment of different in silico similarity metrics. Journal of Chemical Information and Computer Sciences, 43, 691-698. 

Since attention to detail is imperative, we continuously strive to improve through benchmarking among our locations on hundreds of metrics, putting to use best practices that continue to raise performance levels. During Fiscal 2004, we continued to see more warehousing and distribution efficiencies in our broadline companies that improved key expense metrics. . . ... 

An objective metric is needed to gauge the level of manufacturing process understandings and control achieved—process capability can be this metric. During development studies, process capability analysis can be performed in terms of probability distribution (type of distribution, mean and variability) without regard to specifications (14) such analysis can provide useful supporting information on variability and may provide additional support for proposed regulatory acceptance criteria. Inherent variability in clinical materials can then be a benchmark and a basis for continuous improvement. 

The Roundtable has undertaken two rounds of benchmarking the routes of manufacture used by its members to prepare APIs. This exercise shows areas where improvements can be made and provides metrics for tracking improvement in the future. In 2009 a Roundtable sub-group started a project to influence solvent manufacturers to produce greener solvents. 

KPI system To speed up and anchor CIP in the organization, the companies that set the benchmark in this area establish a clear KPI system linking the operational performance metrics consistently and comprehensively to the overall objectives of the company - and these metrics have to be easily understood and reproduced within standard companywide reporting systems. For instance, at Clariant a number of different KPIs have been defined to track maintenance efficiency, but only a few (e.g., repair and maintenance costs/conversion costs) can really be tracked by the production team on the basis of standardized systems (Fig. 19.6). 

Figure 6-3 shows a method for setting specihcations. The list of needs gives a first list of specifications. Quantify the specifications with metrics more about these in a moment. Then benchmark compare your ideas with the competition. Finally discuss what the ideal values would be for the metrics, and which would be just acceptable use these values to set the list of specifications. 

On the lighter side, the magnitude of the newton is about the weight of an apple. If we were to grind up that apple and spread it out over one square meter, we would have a pressure nf one pascal, which may give a better feeling for the small size of that particular unit. Your Chairman of the Metrication Committee is approximately 2 meters tall, which was not a requirement, but can serve as a benchmark. 

Normalized metrics can produce ratios that provide better context for comparison across multiple sites, companies, or industry segments. Such metrics can also be useful in one-to-one performance benchmarking. Normalized data provides a rate expression for process safety performance and can be used to compare performance among sites that differ in size and processing technology as well as performance comparisons among companies within an industry or even across industries. There are a number of ways to normalize process safety data, and methods include, but are not limited to ... 

The link between quality planning and quality improvement is execution. The continuous improvement cycle (Fig. 5) starts with benchmarking and internal assessment to arrive at a gap analysis. From the gap analysis an action plan with assigned leadership, resources, timelines, and metrics is developed. From this quality plan, the plant s human resources must successfully execute the plan for improvement to occur. It is the leadership s responsibility to assure that the plan is do-able, appropriate and adequate resources are assigned, and that the culture of the plant supports change. This starts with the project leaders who must have not only the technical skills, but also the project... 

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