Managing quality control systems in intelligence production and manufacturing in contemporary time

Abstract

In contemporary time, the production arena has become an interesting scene with introduction of inno vations that is changing the climate of production technology. The innovation comes in the form of smart technique of production for an enhanced productivity. Which is termed intelligence manufacturing or production. Intelligence manufacturing has led to enhance productivity in manufacturing sector in recent time on account of 4th industrial revolution. Intelligent manufacturing (IM) involves the use of sophisticated and advanced analytics, sensor application in robotics and internet based connections to things popularly known as IoT. This study was centered on application of intelligent manufacturing in industrial productivity and cost/time wastage. Purposive sampling method was adopted in this study, ran dom sampling survey methods was used to pick samples for collation of responses from production managers of manufacturing companies at the study area (Lagos state, Nigeria). Population frame of 100 product manufacturing companies was adopted, out of which 73 respondents that constitute produc tion managers and supervisors were selected using random sampling technique. The study censored the The study highlighted emerging areas of application of quality monitoring system in intelligent manufac turing to include advanced analytical tools and censored based applications such as robotics applications used in design and product calibration, virtual and augmented reality application that simulates real situ ation using virtual approach, machine learning, expert systems (AI), block chain technology, drones for real time supervision of production process.