Optimization of Customer Requirements in Automobile Industry Using the Intelligent Agent Analytical Hierarchy Process

Authors

  • S. Rajaprakash Professor, Department of CSE, Aarupadai Veedu Institute of Technology (AVIT),VMRF, Chennai, Tamil Nadu, India
  • C. Bagath Basha Associate Professor & HOD, Department of CSE, Kommuri Pratap Reddy Institute of Technology, Autonomous, Hyderabad, Telangana, India.
  • M. Nithya Professor & Head/Department of CSE, Vinayaka Missions Kirupananda Variyar Engineering college, Vinayaka Missions Research Foundation, Salem
  • K. Karthik Professor, Department of CSE, Aarupadai Veedu Institute of Technology (AVIT),VMRF, Chennai, Tamil Nadu, India.
  • Nitisha Aggarwal Assistant Professor, Panipat Institute of Engineering and Technology, Samalkha, Haryana
  • S. Kayathri Assistant Professor, Department of Computer Science and Engineering, P.S.R Engineering college, Sivakasi, Tamil Nadu 626140.

Keywords:

Agent, Customer, Fuzzy, IAAHP, AHP

Abstract

In the highly competitive and dynamic landscape of the automobile industry within supplier parks, meeting diverse and evolving customer requirements is of paramount importance. This study proposes the integration of an intelligent agent with the Analytical Hierarchy Process (IAAHP) to optimize customer requirements in the supplier park environment. The intelligent agent, powered by advanced artificial intelligence and machine learning algorithms, collects and analyzes vast amounts of customer data, historical trends, and feedback. Through data mining and pattern recognition, the agent identifies key customer preferences and requirements. The Analytical Hierarchy Process (AHP) is then applied to systematically evaluate and prioritize these requirements based on multiple criteria such as quality, cost, delivery time, flexibility, and environmental sustainability. AHP facilitates a quantitative and consistent comparison of the importance of various customer demands, enabling the intelligent agent to assign appropriate weightages to each requirement. The IAAHP system empowers automobile manufacturers and suppliers in the supplier park to make informed decisions regarding resource allocation, product development, and process improvements. By aligning their offerings with the most critical customer requirements, stakeholders can enhance customer satisfaction, competitiveness, and overall business performance. Additionally, the intelligent agent's real-time data processing capabilities enable rapid adaptation to changing customer preferences, market trends, and production requirements. This agile responsiveness fosters efficient supply chain management and on-time delivery of components to the assembly line. The proposed IAAHP framework provides valuable insights for decision-makers, streamlining operations, and fostering long-term partnerships with customers. Ultimately, this integration of intelligent agents with AHP offers a strategic advantage in the automobile industry's supplier parks, where meeting customer requirements effectively and efficiently is key to sustained success.

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Published

29.01.2024

How to Cite

Rajaprakash, S. ., Basha, C. B. ., Nithya, M. ., Karthik, K. ., Aggarwal, N. ., & Kayathri, S. . (2024). Optimization of Customer Requirements in Automobile Industry Using the Intelligent Agent Analytical Hierarchy Process. International Journal of Intelligent Systems and Applications in Engineering, 12(13s), 343 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4601

Issue

Vol. 12 No. 13s (2024)

Section

Research Article

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