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Project and Resource Optimization (PRO) for IT Service Delivery

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Advances in Service Science (INFORMS-CSS 2018)

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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.

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Author information

Authors and Affiliations

  1. College of Business Administration, University of Missouri–St. Louis, St. Louis, MO, USA

    Haitao Li

  2. Gurobi Optimization, Beaverton, OR, USA

    Cirpriano A. Santos

Authors
  1. Haitao Li
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  2. Cirpriano A. Santos
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Corresponding author

Correspondence to Haitao Li .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Pennsylvania State University, University Park, PA, USA

    Hui Yang

  2. Division of Engineering and Information Science, Pennsylvania State University, Malvern, PA, USA

    Robin Qiu

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Li, H., Santos, C.A. (2019). Project and Resource Optimization (PRO) for IT Service Delivery. In: Yang, H., Qiu, R. (eds) Advances in Service Science. INFORMS-CSS 2018. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-04726-9_14

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