Markov Decision Processes for Optimizing Human Workflows

Abstract

Workflows are used by domain analysts as a tool to describe the synchronization of activities in a business domain. The Business Process Management Notation (BPMN) has become a standard to characterize Workflows. Nevertheless, BPMN alone does not provide tools for aligning business models and IT architectures. Currently, there is not a method which promotes making decisions based on a technique with a probabilistic basis for providing financial value to a [human] workflow. If such method could exist, it would help the domain analyst to understand what sections of the business and IT architecture could be re-engineered for adding value. Markov Decision Processes (MDP's) can be the centerpiece of such a method. MDP's are introduced as a means to pinpoint assets to be designed, managed, and continuously improved, while enhancing business agility and operational performance. [Service Science, ISSN 2164-3962 (print), ISSN 2164-3970 (online), was published by Services Science Global (SSG) from 2009 to 2011 as issues under ISBN 978-1-4276-2090-3.]