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Molenda, M. (2016) The Autonomous Maintenance Implemention Directory as a Step toward the Intelligent Quality Management System. Management Systems in Production Engineering, 24, 274-279.
https://sciendo.com/article/10.2478/mspe-10-04-2016

has been cited by the following article:

• TITLE: Development of a Framework for Equipment Health Management in the Mining Industries in Zambia

  AUTHORS: Tobias Njobvu, Terence Malama

  KEYWORDS: Equipment Maintenance Management Framework (EMMF), Computerized Maintenance Management System (CMMS), Preventive Maintenance, Predictive Maintenance, Data Analytics

  JOURNAL NAME: World Journal of Engineering and Technology, Vol.12 No.3, August 13, 2024

  ABSTRACT: The Zambian mining industry is crucial to the national economy but struggles with inconsistent equipment maintenance practices. This study developed an Equipment Maintenance Management Framework (EMMF) tailored to the industry’s needs. Using surveys, interviews, and on-site visits at eight major mining companies, we identified significant variations in maintenance strategies, CMMS usage, and reliability engineering. The EMMF prioritizes predictive maintenance, efficient CMMS implementation, ongoing training, and robust reliability engineering to shift from reactive to proactive maintenance. We recommend adopting continuous improvement practices and data-driven decision-making based on performance metrics, with a phased EMMF implementation aligning maintenance with strategic business objectives. This framework is poised to enhance operational efficiency, equipment reliability, and safety, fostering sustainable growth in the Zambian mining sector.