Professionals and Implementation of Artificial Intelligent Manufacturing Process in Manufacturing Industry

Professionals and Implementation of Artificial Intelligent Manufacturing Process in Manufacturing Industry

Next >

1st Handiso Selamu Yisihak

(PhD Candidate)

Tianjin University of Technology and Education Address: No.1310 Dagu South Road, Hexi District, Tianjin, P.R.China

2nd Yujun Cai

(Professor)

Tianjin University of Technology and Education Address: No.1310 Dagu South Road, Hexi District, Tianjin, P.R.China

Postal code: 300222

Abstract:- The professionals activity and implementation of Artificial intelligent manufacturing process in modern smart Industries and Micro and Small Enterprises (MSEs), have better to changes the production of smart product and production system. Different modern Industries, smart manufacturing capacity have a clear understanding of the work content and changes in each working areas .

Therefore, In different smart industries and also in Micro and Small Enterprises (MSEs), to produce well designed and produce smart product, using well educated and trained professionals (Experts and Technicians) from Technical and Vocational Training and Education (TVET) sector is essential and basic.

Key word:- Well educated and trained professionals (Experts and Technicians) from Technical and Vocational Training and Education (TVET).

INTRODUCTION

The Artificial intelligent Manufacturing and manufactured goods administration Lifecycle shows the procedure Industries and Micro and Small Enterprises (MSEs) characteristically employ to expand open and direct products. Same Industries and Micro and Small Enterprises (MSEs) be able to employ it to examine and get better the procedure of rising and advertising its products.

Product lifecycle reproduction gives you a step-by-step visual guide to cover all the stages any Artificial intelligent Manufacturing manufactured product will go from side to side, accompanied by helpful checklists to make sure we have everything in place at each stage. It works whatever your development approach[1].

From the perspective of the product life cycle, this article analyzes and studies the changes in the job content of Technical and Vocational Education and Training students from the three work areas of the smart production process before, during and after production.

WORK AREAS BEFORE PRODUCTION

The main task before production is the management of the production process and the preparation of artificial intelligent Manufacturing manufactured products. Currently, Smartly

manufactured product updates are fast, customers frequently change product data, and product quality consistency control is difficult to effectively manage and control only relying on human experience.

Therefore, artificial intelligent manufacturing industries and micro and small enterprises (MSEs) adopt the following basics software's to create, Organize, publish and manage detailed production data, and conduct operation guidance and real-time monitoring of the production process:-

i. Enterprise Resource Planning (ERP)ii. Manufacturing resource planning (MRPII),4. Programming and simulation:A. The original three-axis CNC machining equipmentE. Georg Fischer (shortened GF, comprises three divisions GF Piping Systems,II. GF Casting Solutions (formerly GF Automotive)III. GF Machining SolutionsA. Work areas in production Networked monitoring of artificial intelligentB. Workshop data collection and analysis:C. Product quality monitoring:D. Product assembly and testing:E. Post-production work areasF. Artificial Intelligent service:

Next >