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The Internal Auditing Handbook

The first edition of The Internal Auditing Handbook received wide acclaim from readers and became established as one of the definitive publications on internal auditing. The second edition was released soon after to reflect the rapid progress of the internal audit profession. There have been a number of significant changes in the practice of internal auditing since publication of the second edition and this revised third edition reflects those changes. The third edition of The Internal Auditing Handbook retains all the detailed material that formed the basis of the second edition and has been updated to reflect the Institute of Internal Auditor’s (IIA) International Standards for the Professional Practice of Internal Auditing. Each chapter has a section on new developments to reflect changes that have occurred over the last few years. The key role of auditors in reviewing corporate governance and risk management is discussed in conjunction with the elevation of the status of the chief audit executive and heightened expectations from boards and audit committees. Another new feature is a series of multi-choice questions that have been developed and included at the end of each chapter. This edition of The Internal Auditing Handbook will prove to be an indispensable reference for both new and experienced auditors, as well as business managers, members of audit committees, control and compliance teams, and all those who may have an interest in promoting corporate governance.

of the adequacy of, and compliance with, the bank's established policies and
procedures. As such, the internal audit function assists members ofthe
organisation in the effective discharge of their responsibilities... Principle 5–The
bank's ...

23 European Symposium on Computer Aided Process Engineering

Prediction of biopharmaceutical facility fit issues using decision tree analysis

The impact of upstream and downstream process fluctuations in bioprocesses becomes more pronounced during technology transfer of pilot scale processes into large-scale facilities. Mismatches in equipment sizes upon scale-up combined with process fluctuations can lead to discarding expensive product. Understanding and predicting the root causes of product loss is critical to determining the necessary facility modifications required to meet manufacturing targets. In this work, a decision tree classification method, CART (classification and regression tree), was used to interrogate stochastic Monte Carlo simulation datasets that mimic batch fluctuations in industrial biopharmaceutical batch processes. The resulting binary decision tree not only reveals the impact of process fluctuations on product mass loss but also extracts a series of if-then rules on the critical combinations of factors that lead to unacceptable mass loss levels. The decision tree analysis therefore allows rapid prediction of the likelihood of facility fit issues as well as the batch characteristics that result in product loss.

Prediction of biopharmaceutical facility fit issues using decision tree analysis
Yang Yang, Suzanne S. Farid, Nina F. ... Yang Yanga, b, Suzanne S. Farida and
Nina F. Thornhillb, aEPSRC Centre for Innovative Manufacturing in Emergent ...