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Validity : 10th Dec'24 to 20th Dec'24
Experimentation is frequently performed using trial and error approaches which are extremely inefficient and rarely lead to optimal solutions. Furthermore, when it’s desired to understand the effect of multiple variables on an outcome (response), “one-factor-a ...
Design Validation should ensure that product performance, quality, and reliability requirements are met. In order to have high confidence that products will perform as intended, enough data must be collected and analyzed using various statistical methods. Sel ...
Scientists, Design Engineers, and Manufacturing/Process Engineers must develop product and process specifications that ensure that products delivered to customers perform their intended functions over time. If specifications are too wide, the risks of inadequa ...
Participants will gain awareness of the 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. Participants will also learn how to ...
This webinar introduces important statistical concepts and methods for making objective decisions to ensure and improve product quality. The methods have many applications including: Determining how well my process/product meets requirements Knowing when a ...
Manufacturers of foods, drugs, consumer goods, and other products must determine the shelf life of their products so that customers know when the product can be expected to perform as intended. Many approaches are available to quantify the "shelf life" and the ...
Personnel involved in process validation and production control often rely on sampling methods to determine the suitability of a process before moving to production (process validation) or for checking production lots for acceptance. This webinar provides deta ...
Companies must assure that their processes are capable of producing products and services that consistently meet customer specifications. This webinar discusses methods for estimating process capability for both normal and non-normal data. Pre-requisites for e ...