AI-Enhanced Design Management: Scientific Principles for Intelligent Decision Systems

Authors

  • Farwa Khalid Department of Education, University of Lahore (UOL), Lahore, Pakistan
  • Hira Shah Department of Design and Innovation, National University of Sciences and Technology (NUST), Islamabad, Pakistan

Keywords:

AI-Enhanced Design, Intelligent Decision Systems, Predictive Modeling, Design Optimization

Abstract

Artificial intelligence (AI) is transforming design management by enabling intelligent decision-making through predictive modeling, data-driven analysis, and automation of complex processes. AI-enhanced design management integrates scientific principles from computer science, systems engineering, and behavioral studies to improve efficiency, creativity, and strategic decision-making. This article examines AI techniques, including machine learning, optimization algorithms, and knowledge-based systems, and their application to design workflows. Two graphical analyses illustrate AI-driven decision support and performance enhancement in design projects. The study highlights the potential of AI to optimize resources, enhance innovation, and foster evidence-based decision-making in contemporary design management.

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Published

2025-12-19

Issue

Vol. 2 No. 02 (2025): Journal of Design, Management and Sciences

Section

Articles

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Copyright (c) 2025 Farwa Khalid, Hira Shah

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