April 2019 Featured Report

A Harmonized Approach to Data Integrity

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Data integrity is achievable when data collection is complete, consistent, and accurate (1). Failure to maintain data integrity compromises a company’s ability to demonstrate the safety and efficacy of its products. Escalation of serious regulatory actions related to data integrity violations has prompted the need to assess data integrity compliance and implement systems designed to guarantee it. Comprehensive measures must be taken to ensure that data are attributable, legible, contemporaneous, original, and accurate (ALCOA) (2). Preventive measures need to be…

April 23, 2019

Opportunities for Modern Robotics in Biologics Manufacturing

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It should come as no surprise to anyone familiar with biomanufacturing that current designs of bioprocess facilities as well as associated manufacturing spaces and support operations require excessive amounts of manual labor and manual interventions that lead to high labor costs and, consequently, total cost to supply. From receipt of raw materials to process execution and performance review, resolution of quality issues, and product shipping, no industry devotes a greater percentage of operating costs (or cost of goods sold, CoGS)…

April 23, 2019

Determining Control Chart Limits for Continued Process Verification with Autocorrelated Data

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Control charts are used to assist in process monitoring activities. They use an estimate of central tendency (the overall mean) and variation (the standard deviation). Sample standard deviations (S) tend to underestimate process standard deviations (σ) when they are calculated using limited sample sizes of independent results (1). For this reason, the unbiasing constant c4 is used as a divisor when calculating Shewhart control-chart limits. If data used for control charting are positively autocorrelated, that tends to underestimate σ further…

April 23, 2019