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2417. Best Practices of Digital Transformation for Managing Large Industrial Maintenance Projects
Invited abstract in session TA-60: Project Management, stream Project Management and Scheduling.
Tuesday, 8:30-10:00Room: S09 (building: 101)
Authors (first author is the speaker)
1. | DIMITRIOS EMIRIS
|
Industrial Management & Technology, University of Piraeus |
Abstract
Industrial maintenance projects, known as shutdown projects, are highly impacted by the recent growth of digital transformation (DT) efforts. Technological and systemic advancements, sensors integration, data analytics tools, information systems, etc., are some of the factors constantly affecting and changing the operation of most industrial companies. This work drills down to efficient approaches in DT aspects of major maintenance projects and condenses the on-field experience from a dozen such projects over the past decade. Specifically, it highlights best practices on technological, systemic and managerial actions, such as: (i) the gradual development of knowledge databases to improve project planning efficiency by up to 38%; (ii) digital collaboration techniques to elicit requirements and reduce scope creep by almost 16%; (iii) data analysis from on-board sensors to diagnose the operational condition and proactively identify maintenance needs; (iv) the use of digital maps of industrial plants for optimization of works sequences to respect safety constraints; and (v) the development of digital tools for near-real time collection of progress data from remote sites and diverse stakeholders to quickly update plans, forecast reliably, identify issues and cultivate employee engagement. The presentation of the temporal evolution and development of implemented solutions for each best practice highlights the combinatorial benefits of DT and establishes guidelines for the future.
Keywords
- Project Management and Scheduling
- Industrial Optimization
- Analytics and Data Science
Status: accepted
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