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Identify systematic patterns and quantitatively investigate the cause-effect relationship between parameters and process issues (process fluctuations, dimensional defects, shape errors, visual defects, ecc.), to increment process knowledge and generate new hints for process optimization and control.
Explore new ways to get key information from the process, to increase coverage and accuracy for parameters that are already measured, and to define measurement techniques for key characteristics that previously were considered unmeasurable.
Review your process control methodology, to improve their efficiency, in term of man hours spent and effectiveness in detecting and preventing risk from spreading towards your finished goods and out to your customers.
For feedback control systems, the former specializes into the review of the automatic control logic, and into the tuning of dynamic parameters, usually producing immediate improvement without changing much the equipment; only the software needs to be updated.
Usually the above impact on how materials, data, products, and procedures are managed at the customer site, which usually means IT services and applications. Beside providing consultancy in IT process risk assurnace (e.g. GMP/Annex11), we have specific experience in interconnecting existing and newly developed systems and integrating them (e.g. with ERP/SAP) for the highest overall effectiveness and seamless operation.
Taken a specific target perspective (e.g. to overcome process inefficiencies, or to reduce Quality risk, or to achieve a GMP-like site certification, …) and specific constraints (limit the analysis to the assembly process), we start from a review of process KPIs, and we do a structured assessment of the sources of inefficiencies, providing advice how to address them, and rating them by priority, investment requirements projection (money and time) and impacts on cost and all defined KPIs.