Intelligent Decision Support System for Production Planning and Control in an Automotive Assembly Line

Year : 2023 | Volume : 01 | Issue : 01 | Page : 16-21
By

    Nitin Pal

  1. Student, Department of Mechanical, GLA University, Uttar Pradesh, India

Abstract

The automobile industry has realized the importance of Intelligent Decision Support Systems (IDSS) to improve production planning and control on assembly lines. In the context of automobile manufacturing, this review paper examines the most recent developments, methodology, and applications of IDSS. Key trends, obstacles, and possibilities are discovered through an in-depth examination of the literature. Examining real-world case studies and success stories, the integration of artificial intelligence (AI) and machine learning (ML) approaches in IDSS is studied. In addition, the study discusses current difficulties and suggests solutions. This review intends to steer future research and development in IDSS for automotive assembly lines, emphasizing its potential to increase productivity and efficiency in the sector. It does this by outlining future directions and emerging trends.

Keywords: IDSS, artificial intelligence, machine learning, optimization, quality control

[This article belongs to International Journal of Industrial and Product Design Engineering(ijipde)]

How to cite this article: Nitin Pal Intelligent Decision Support System for Production Planning and Control in an Automotive Assembly Line ijipde 2023; 01:16-21
How to cite this URL: Nitin Pal Intelligent Decision Support System for Production Planning and Control in an Automotive Assembly Line ijipde 2023 {cited 2023 Dec 15};01:16-21. Available from: https://journals.stmjournals.com/ijipde/article=2023/view=129646

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Regular Issue Subscription Review Article
Volume 01
Issue 01
Received July 21, 2023
Accepted July 31, 2023
Published December 15, 2023