Artificial intelligence in lean manufacturing paradigm: A review

¹ Genuine research services, Gwalior, India
² Engineering and Management Department, Faculty of Engineering of Hunedoara, University Politehnica Timisoara, Romania

^* Corresponding author: arunresearch88@gmail.com

Abstract

Industrial organisations must now develop and implement novel approaches to operations and production if they are to compete effectively on a global scale. Changes in product development practises and the use of new technologies have occurred. Businesses encounter problems and difficulties as a direct result of the rapid pace of market change. Organisational priorities focus on minimising waste while simultaneously improving quality and cutting costs. Lean manufacturing is an established approach that should be included into every strategic company strategy. Lean manufacturing concept is a revolutionary that aims to increase resource use while minimising waste. Lean manufacturing has been shown to increase plant efficiency and decrease processing times in major manufacturing operations. In the end, industries depend greatly on their capacity to systematically and consistently cope with obstacles in order to increase product value. Therefore, a value-adding framework must be implemented; the adoption of a lean manufacturing system becomes crucial for any kind of business if it is to achieve this level of perfection. This article gives a overview of lean manufacturing their concepts, tools with application and artificial intelligence in lean manufacturing.