Project and Resource Optimization (PRO) for IT Service Delivery

Haitao Li () and Cirpriano A. Santos ()
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Haitao Li: University of Missouri–St. Louis
Cirpriano A. Santos: Gurobi Optimization

A chapter in Advances in Service Science, 2019, pp 139-150 from Springer

Abstract: Abstract This paper identifies the needs and challenges of IT service project delivery. A hierarchical Project and Resource Optimization (PRO) architecture is presented to provide a comprehensive and systematic roadmap for coping with the decision needs at the strategic, tactical, operational and executional levels. We highlight the data-driven feature of PRO with emphasis on the modeling and algorithmic methdologies to provide dynamic and adaptive decision-support.

Keywords: Project management; Resource management; Mathematical programming; Analytics; Data-driven (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-030-04726-9_14

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DOI: 10.1007/978-3-030-04726-9_14

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