Synopsis
This book demonstrates a groundbreaking approach to managing exceptions (deviations from ideal processes caused by errors, failures, etc.) during workflow system enactment. The author builds on previous research in coordination science and conflict management to develop a knowledge-based approach that helps workflow designers and participants better handle these disruptions. The book provides a generic and reusable body of knowledge concerning the types of exceptions that can occur, how to detect them, and how to resolve them. This approach is significant as it addresses a critical challenge for workflow systems: their ability to respond effectively when exceptions occur. Traditional methods often result in severe impacts on cost and schedule performance. The author's approach offers a solution by integrating principles from coordination science and artificial intelligence, providing a repository of process templates that can be retrieved, compared, and customized to handle exceptions effectively.
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