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Research on Project Evaluation System for Aerospace Enterprises Based on Big Data

  • Can Liu,
  • Bo Zuo,
  • Siyuan Wang

摘要

As we enter a new stage of aerospace development, traditional aerospace project evaluation models can no longer meet the needs of aerospace enterprises. The era of big data provides technical support for the systematic, model-based, and intelligent management of aerospace enterprise project evaluations. Based on big data layered processing and using information technology as a tool, this paper proposes a project evaluation system for aerospace enterprises, which includes three levels DOS, DGL and DSL. It also explores an integrated data evaluation model, which can reflect the value of different projects to enterprise development in a real-time, accurate, and visual manner. This system collects various types of raw data to the big data platform, manages the original big data based on the data model; and provides effective guidance for optimizing management mechanisms in aerospace enterprises. We hope it can generate a powerful synergy for innovation and support high-quality development of aerospace enterprises.