Intelligent Decision Making and Knowledge Management System for Agile Project Management in Industry 4.0 context

  • Asmae ABADI Euromed University of Fes, UEMF, Morocco
  • Chaimae ABADI ENSAM, Moulay Ismail University, Meknes, Morocco
  • Mohammed ABADI Laboratory of Advanced Research in Industrial and Logistic Engineering (LARILE), Hassan II University of Casablanca, Morocco
DOI: https://doi.org/10.19139/soic-2310-5070-2378
Keywords: Agile Project Management; Rule Based Reasoning, Information Computing, Knowledge Management; Inference Ontology; Expert systems

Abstract

This paper presents a smart, knowledge-driven system designed to optimize Agile Project Management (APM) processes, particularly for Industry 4.0 applications. By formalizing key concepts and integrating Rule Based Reasoning using Semantic Web Rule Language (SWRL) inference rules, the proposed APM ontology offers a robust framework for projects 4.0 knowledge management, interoperability, and decision support. The proposed ontology-based system lies in its capacity to integrate data from external systems, enabling holistic optimization and supporting intelligent decision-making. The system enhances task prioritization, resource allocation, and sprint planning by leveraging reasoning capabilities to streamline project workflows and reduce redundancy. Its implementation in a real-world cobot integration project demonstrated its ability to align tasks with project objectives, optimize resource utilization, and ensure efficient project execution.
Published
2025-02-13
How to Cite
ABADI, A., ABADI, C., & ABADI, M. (2025). Intelligent Decision Making and Knowledge Management System for Agile Project Management in Industry 4.0 context. Statistics, Optimization & Information Computing. https://doi.org/10.19139/soic-2310-5070-2378
Issue
Online First
Section
Research Articles
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