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Compound Matrix-Based Project Database (CMPD).

Zsolt T Kosztyán1, Gergely L Novák2

  • 1Department of Quantitative Methods, University of Pannonia, Egyetem str. 10, Veszprém, H-8200, Hungary. kosztyan.zsolt@gtk.uni-pannon.hu.

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A new Compound Matrix-Based Project Database (CMPD) and Unified Matrix-Based Project-Planning Model (UMP) standardize project data. This enhances the efficiency and performance of project scheduling and resource allocation algorithms.

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Area of Science:

  • Operations Research
  • Management Science
  • Computer Science

Background:

  • Project scheduling and resource allocation are critical for business, research, and the economy, studied for over 60 years.
  • Existing project databases are highly heterogeneous, hindering algorithm evaluation and performance.
  • Algorithm efficiency is sensitive to project characteristics, necessitating standardized data.

Purpose of the Study:

  • To address the heterogeneity of project databases.
  • To propose a unified framework for project data consolidation and modeling.
  • To enhance the development and testing of project scheduling and resource allocation algorithms.

Main Methods:

  • Development of the Compound Matrix-Based Project Database (CMPD) to collect and consolidate existing project databases.
  • Introduction of the Unified Matrix-Based Project-Planning Model (UMP), a sparse matrix-based model.
  • Incorporation of new project features like completion priorities, structural flexibility, and quality parameters into the UMP.

Main Results:

  • The CMPD provides a consolidated and standardized collection of frequently used project databases.
  • The UMP model allows for the integration of diverse project features and flexible planning approaches.
  • The proposed framework facilitates broader project scope and accommodates agile, extreme, and hybrid project methodologies.

Conclusions:

  • The CMPD and UMP offer a robust solution to the heterogeneity challenge in project databases.
  • This unified approach improves the reliability and applicability of project scheduling and resource allocation algorithms.
  • The framework supports advanced project management techniques and a wider range of project types.