Dynamic Group Scheduling: Theory and Applications

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In today’s business world, managers generate and track more data than ever. This information gathering technology has changed the way decisions are made; it is less about intuition and more about data analysis. Quantitative methods that aid this movement have become key tools in the practice of evidence-based decision making. For example, data-driven decisions in US manufacturing tripled between 2005 and 2010. Although this abundance of information has uncovered fantastic insights, our ability to make decisions regarding inter-dependent systems is still in its infancy. Moreover, quantitative methods that use large amounts of data to make managerial recommendations that drive these systems are sorely lacking.