Contribution of Maintenance 4.0 in Sustainable Development with an Industrial Case Study

Author:

El kihel Yousra,El kihel Ali,Bouyahrouzi El MahdiORCID

Abstract

Digitalization and digitization are topics for researchers and manufacturers. Integrating new technologies facilitates the collection of data from a company in real-time and processing them afterwards. In this context, the design and implementation of Maintenance 4.0 have become popular in the literature. Its objective is to minimize downtime, optimize energy consumption, and increase availability, utilization rate, and useful life of machines while ensuring environmental preservation and safety of personnel. Our contribution consists of setting up a specific digitalization methodology for companies wishing to switch to Maintenance 4.0 in order to contribute to sustainable development. The information obtained will be processed to carry out effective interventions to increase the reliability and availability of equipment. A case study of an industrial company was carried out where we implemented this methodology. As a result, we were able to increase the reliability of the machines, which has an impact on the environment by reducing energy consumption and the quantity of plastic waste. On the economic level, this led to an improvement in the Overall Equipment Effectiveness (OEE) and a reduction in product prices. Thanks to these technologies of digitizing maintenance documents (procedures, machine history, risk prevention) and the quick localization of machine failures, the hard work and risks are reduced.

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Maintenance 4.0 Technologies for Sustainable Manufacturing;Applied Sciences;2024-08-21

2. Determining Maintenance 4.0 Readiness: A Case Study of a South African Food Manufacturing Company;2024 Portland International Conference on Management of Engineering and Technology (PICMET);2024-08-04

3. Maintenance 4.0 using intelligent ultrasonic sensors;2024 International Conference on Circuit, Systems and Communication (ICCSC);2024-06-28

4. Quality Prediction in Injection Molding Using Machine Learning Methods;2024 IEEE 15th International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA);2024-05-02

5. Industry 4.0 Implications in Production and Maintenance;2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG);2024-04-02

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