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One approach is to look for assistance using KBE approaches in solving the previous problem. KBE spans a wide range of engineering technologies and has tools that can capture and reuse the product and process knowledge to deliver individual users’ or MDO environment details and data. A good connection between rule-based reasoning, object-oriented modeling, and geometric modeling inside the KBE frame makes certain measures in the MDO process easy to grab and automate. As seen in this section, the MDO approach includes direct cooperation between some testing, optimization, and other modules and codes that work along with several variables of nature for the enhanced product. Capturing and reusing knowledge facilities will help to deliver sustainable parametric models by adapting the data to the various discipline data models and allow adjustments to flow across them. A major benefit from this capability allows the integration of homogeneous sets across a range of simulation tools, such that data and concept information can be transmitted smoothly from low- to high-trust research models as the design progresses over time. It helps to integrate internally and acquired technical capabilities into the MDO environment and helps them operate in parallel with the evolution of data and architecture expertise and the acquisition of increasingly complicated data structures combined with dynamic data comfort.