Abstract

Lean production is the third milestone of industrialization in human history. This is a revolutionary production and operation practice. Its core idea is to reduce waste, establish an efficient production system, improve corporate profits. It represents the direction in which manufacturing, or manufacturing standards, are moving today. With the continuous advancement of the information revolution, manufacturing enterprises must re-integrate external environmental information, transform their ideas and methods, and at the same time use big data and artificial intelligence to strengthen the manufacturing industry and form a new production mode. This article expounds the theory of lean production and basic methods from the perspective of big data and artificial intelligence. It combined with desi fogg existing organizational structure, site management, quality management, product development, production organization, problems existed in the aspects of applied research in the core of lean production ideas and principles, proposed the desi fogg lean production plan, and solve the management problems of the production process and waste of resources, establish the enterprise system of lean production system, and improve the level of the site management、 production quality and enterprise competitiveness.

Highlights

  • Lean production, a form of production management from Toyota motor Corp., aims to minimize "extravagance" in everything, including inventory

  • We can see the great influence of lean production thought from the personnel management reform and enterprise reengineering activities in many enterprises around the world

  • In order to seek efficient production mode, we need to use big data and artificial intelligence to achieve the goal of lean production

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Summary

Introduction

A form of production management from Toyota motor Corp., aims to minimize "extravagance" in everything, including inventory. With the constant change of people's demands, personalized order production makes lean production must combine big data analysis and artificial intelligence to realize a new production mode that is accurate, efficient and economical.

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