High-Velocity Compliance at Scale: Queueing-Theoretic Models for Multi-subsidiary Reporting Deadlines

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@article{1711006,
      author = {Ogochukwu Prisca Onyelucheya, Chizoba Michael Okafor, Blessing Olajumoke Farounbi, Akindamola Samuel Akinola},
      title = {High-Velocity Compliance at Scale: Queueing-Theoretic Models for Multi-subsidiary Reporting Deadlines},
      journal = {Iconic Research And Engineering Journals},
      year = {2019},
      volume = {3},
      number = {3},
      pages = {310-325},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1711006.pdf},
      abstract = {This paper presents a queueing-theoretic approach to managing high-velocity compliance across multisubsidiary organizations, addressing the challenges of reporting deadlines, regulatory obligations, and operational bottlenecks. Large multinational corporations face significant complexity in aligning subsidiary reporting timelines, particularly when centralized compliance functions must integrate diverse financial, operational, and legal data. Delays in reporting increase regulatory risk, penalties, and reputational exposure, necessitating the development of scalable models that capture the dynamics of concurrent reporting tasks. Leveraging queueing theory, this study conceptualizes subsidiaries as service nodes in a multi-server system, where interdependencies, arrival rates, and processing times influence overall compliance throughput. Through a systematic review of existing literature on compliance management, queueing models, and corporate reporting structures, the study identifies key design parameters, highlights gaps in current approaches, and proposes a framework for predictive and real-time management of reporting deadlines. The framework offers both theoretical contributions to queueing applications in corporate governance and practical guidance for compliance officers seeking to reduce delays, optimize resource allocation, and enhance reporting reliability across large-scale organizations. This conceptual study provides a foundation for future empirical validation and the development of software-based decision support tools for compliance management.},
      keywords = {Queueing-theoretic compliance modeling, Multi-subsidiary reporting management, High-velocity deadline optimization, corporate governance efficiency, Regulatory risk mitigation, Predictive reporting frameworks},
      month = {September},
  }