Thursday, 10 November 2016

Extracting Information from Geochemical Data

Going beyond just asking the laboratory for geochemical extracting information of a gold test by sampling every meter of the drill core of a trench and using multielement analysis is an approach strongly recommended by most mining specialists. There exist other methods of geochemical data analysis techniques and obtaining geochemical extracting information, but these are largely ignored by the industry.

Making sense of the geochemical extracting information

How to make sense of the geochemical extracting information is the core of a webinar that is being organized by GlobalCompliancePanel, a well-known provider of professional trainings for all the areas of regulatory compliance. The speaker, Ricardo Valls, is a professional geologist with thirty years in the mining industry. With extensive geological, geochemical, and mining experience, managerial skills, research techniques, and training; he has carried out various projects globally.

To know more about how to gain knowledge of geochemical extracting information, just visit


An understanding of all types of analyses

Richard will give participants an understanding of all the types of analyses that can be requested to help them in their exploration goal –that of finding the new ore body. He will help mining professionals who need to make important decisions on where to drill or how to manage their exploration budget. The speaker will also offer an understanding of how to extract all the important information of data, including the use of compositional data analysis.

In this webinar, which will be highly educative for a number of professionals in mining, such as Senior Geologists, Geochemists, Exploration personnel, Laboratory personnel, Managers, graduate students, postgraduate students and QA&QC personal; Richard will cover the following areas:

o   How to determine the type of sampling
o   How to determine the type of assays
o   General processing of the data
o   Compositional Data Analysis
o   Representing the results.


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Thursday, 27 October 2016

Tools and Methodologies to Predict and Improve Product Reliability

Improving product reliability may be the primary objective of reliability analysis; yet, there are many possible reasons for collecting and analyzing reliability data. There are many examples of collecting and analyzing reliability data. This could be done to assess product reliability in the field. It could be to predict product warranty costs. It could be for estimating replacement part/spares requirements.

Other examples of collecting and analyzing reliability data include:

o   To assess the effect of a proposed design change
o   To demonstrate product reliability to customers or government agencies
o   To compare components from multiple suppliers
o   To compare components from different production periods, operating environments, or materials
o   For improving reliability through the use of laboratory experiments.

Methodologies for doing these

There is a certain overall methodology for setting reliability targets, estimating product reliability from test data and/or field data, and determining whether or not reliability targets are achieved. The intricacies of this methodology will be the content of a two-day, in person live seminar that is being organized by GlobalCompliancePanel, a leading provider of professional trainings for the regulatory compliance areas.

Steve Wachs, who is currently a Principal Statistician at Integral Concepts, Inc., brings over 25 years of wide-ranging industry experience in both technical and management positions. To derive the benefit of hearing this experienced professional, just log on to http://www.globalcompliancepanel.com/control/globalseminars/~product_id=900409SEMINAR to register. This course has been pre-approved by RAPS as eligible for up to 12 credits towards a participant's RAC recertification upon full completion.

Calculating sample sizes

Steve will discuss the methods for estimating the reliability of subsystems and systems. He will also show how to calculate sample sizes for reliability testing and utilize reliability models to develop forecasts of future failures (e.g. warranty forecasts).

This course will immensely benefit anyone with an interest in product quality and reliability, such as Product Engineers, Reliability Engineers, Design Engineers, Quality Engineers, Quality Assurance Managers, Project/Program Managers, or Manufacturing Personnel.

Steve will help participants with the following:
o   Understand reliability concepts and unique aspects of reliability data
o   Understand underlying probability and statistical concepts for reliability analysis
o   Develop competency in the modeling and analysis of time-to-failure data
o   Understand reliability metrics and how to estimate and report them
o   Estimate reliability of subsystems and systems
o   Determine if reliability specifications are met (at specified confidence level) or whether design improvements are required
o   Develop competency in the planning of reliability tests (excluding ALT)
o   Analyze existing warranty data to predict future returns
o   Develop awareness of more advanced topics in Reliability





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