Improving the Maintainability and Reliability in Nigerian Industry 4.0: Its Challenges and the Way Forward from the Manufacturing Sector

Abstract

Due to the high demand for quality goods and products, most manufacturing industries run their equipment and manufacturing teams more than expected to meet the demands. However, they do not regularly conduct maintenance and reliability checks to ascertain the industry's well-being. Operating their manufacturing systems and processes to achieve the requisite production rates of high-quality goods is a constant challenge for manufacturing industries in Nigeria due to a need for maintainability. To improve performance, this paper recently reviewed Nigeria's manufacturing industries' maintainability and reliability. The study examined articles that cut across, Maintainability scheduling in the production system with the analysis of Industry 4.0 Technologies, the reliability optimisation in the manufacturing industry in Nigeria, and the effects of sustainable maintainability and reliability implementation on manufacturing systems and the sustainability issues. Furthermore, the research highlighted the manufacturing industries' challenges regarding maintainability and reliability. Some of these challenges are insecurity, lousy infrastructure, inadequate company growth plans, and irregular taxation, which affect the day-to-day running of the industry. One of the most significant issues facing the manufacturing sector today is inventory management; nonetheless, many small manufacturers still manage their stocks by hand. Furthermore, this study provides possible suggestions for a sustainable way forward for these identified problems. Nigerian manufacturing industries might adopt Industry 4.0 technology, which will assist in successfully adopting total preventive maintenance as a strategy and culture. This article recommends a maintenance culture in the manufacturing industry. It also recommends self-auditing and benchmarking as ideal preconditions for total productive maintenance.

Evaluation of Node Importance in Collaborative Network of Traditional Manufacturing Enterprises Based on Multiple Attribute Decision Making

“…Currently, advanced digital technologies such as big data, cloud computing, artificial intelligence, and blockchain have significantly evolved. These technologies have led to the growth of the intelligent industry and the digital economy, while also promoting the close fusion of information technology and traditional manufacturing industry [1][2][3][4][5][6][7]. Moreover, with the rapid advancement of economic globalization, the division of labor within society is becoming increasingly specialized.…”