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Apply PROCEED to your most challenging issues that, when solved, yield the most benefits...
Opportunities to apply PROCEED are equal to the number of data-driven decisions that need to be made throughout your organization, provided there is data to characterize the problem. However, it is far more practical to apply PROCEED to business critical decisions, especially those that have a direct line of sight to the goals and objectives of your organization.
PROCEED is the software platform to derive causal models from your enterprise's investment in data, translating them into actions that drive world-class manufacturing behavior. PROCEED is well-suited in the following scenarios:
- Complex manufacturing processes that involve many steps: Finding a defect in process is much more valuable than finding that same defect in finished product testing or in costly warranty claims. PROCEED empowers your team to determine the most important in process parameters to monitor and the distribution of acceptable values driving optimal product outcomes.
- Difficult manufacturing process modeling problems. PROCEED succeeds in modeling the relationships between manufacturing process parameters and outcomes even when there are sparse data, with many more parameters measured in the production process that there are observed cases. PROCEED succeeds in modeling even the most complex, nonlinear relationships.
- Products with competing customer requirements. Manufacturers of complex products often have to balance multiple, competing requirements, including customer requirements, regulatory requirements, and internal constraints. PROCEED provides an interactive software environment to optimize the production process to achieve the best results along multiple outcomes.
- Design of Experiments (DOE) is not practical or feasible. Due to increases in availability and features of data collection and storage systems, most of us are sitting on a wealth of historical data. PROCEED allows you to capitalize on this information and translate it into actions to improve processes and optimize outcomes. In many cases, utilizing historical data is the preferred method where DOEs are too expensive, too time-consuming or not possible.
PROCEED achieves results in any complex manufacturing situation. PROCEED results in improved product quality and streamlined manufacturing processes while resulting in cost savings in all categories of the Costs of Quality (COQ):
- PROCEED Reduces External Failures. In complex manufacturing, excellent product performance leads customers to buy from you again. Reducing expensive warranty costs is also a benefit of optimal product quality. PROCEED results in the most consistent and optimal product outcomes from your manufacturing process.
- PROCEED Reduces Appraisal Costs. PROCEED results in the reduction or virtual elimination of expensive and time-consuming finished product testing by prediction of product quality from the manufacturing process parameters. ROI is derived from decreased investment in test equipment and personnel to perform the tests, increased product throughput from the reduction of the time-consuming testing, and reduction of expensive re-work and scrap by reducing the rate of product failures.
- PROCEED Reduces Internal Failures. PROCEED results in the reduction or virtual elimination of post-manufacturing product adjustments by optimizing the current manufacturing process. PROCEED predicts the manufacturing process parameters driving the need for expensive and time-consuming product adjustments. ROI is achieved through the cost savings from the reduction in personnel and time utilized previously in performing the adjustments.
- PROCEED Reduces Prevention Costs. PROCEED results in a focus on the manufacturing parameters driving product outcomes. PROCEED results in the loosening of process or raw material tolerances where they do not contribute to finished product quality. ROI is achieved by the implementation of less expensive process steps or materials.
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PROCEED (PDF)
