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Design of Experiments (DoE) can transform speed to market, production efficiency and product quality. It optimizes performance and saves time and cost for new product introduction or process improvements.
Download BrochureDesign of Experiments (DoE) can transform speed to market, production efficiency and product quality. It optimizes performance and saves time and cost for new product introduction or process improvements.
Download BrochureDesign of Experiments (DoE) is a method used by engineers, across industries, in a variety of different activities, ranging from the development of new products to improving product designs and optimizing manufacturing processes. DoE is a systematic method to determine the effect of different factors in the outcome of a process or in the performance and yield of a manufactured product. The information gathered as the result of experiments is essential to design inputs, new product introduction and continuous improvement of manufacturing processes.
Critical Manufacturing’s integrated Experiments Management module enables both the Design of Experiments (DoE) and the execution of experiments in the MES system. The execution of experiments is performed transparently and seamlessly in the system, even in the case of mass volume production. Engineers can use unit ID tracking to create multiple experiments in a single batch/lot by assigning the individual unit IDs to different experiment groups.
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Each experiment group can be configured to perform any number of variations and deviations against the Process of Record (PoR). Examples of possible variations are the usage of different recipes or flows, changing the Bill-of-Materials (BoM) or tooling, data collections and process resources. The experiment lots are tracked and processed in the MES just as any lot with the variations being set and enforced automatically by the system.
See full functionalityEasier, more efficient, and better control. This module allows engineers to design and execute an experiment, exactly as designed, in an integrated ma
Reduce time by conducting simultaneous multi-variation experiments in a single lot.
Conduct transparent side-by-side experiments, in a mass production factory.
Understand and gain in-depth knowledge of process variables and their effect.
Improve quality and reliability of processes and products.
Improve speed of learning.
Reduce time-to-market.
