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Industrial world today is experiencing its fourth industrial revolution. Predecessor of the automation industry, Industry-4.0 adds a layer of autonomy, intelligence and advanced connectivity to complex industrial systems. This layer creates an interactive and dynamic bridge between virtual systems and physical systems with their upward constraints and requirements in a constantly changing physical environment. Digital twins fall into the category of advanced concepts and technologies that enhance this connectivity. Several projects have been launched in Morocco by the government, industrialists and research communities, initiating the digital transformation of Moroccan industrial manufactories and companies. This paper comes within this framework, firstly to highlight the great potential that digital twins can offer for Moroccan industrial context enhancement, secondly to identify the challenges that can hinder the integration and development of digital twins in Moroccan industrial environment.

Abstract— Looking forward to integrating practically the industry 4.0 technologies, it is mandatory to deal with information unavailability problems to manage better the mining machines by maintenance KPIs. This close monitoring issue is more present in the maintenance information’s flow through all the organization management level. This research presents the predictive maintenance system PdMSys design using model-based system engineering according to the system life cycle management paradigm. The use of a modeling language such as SysML helped dissect all aspects to meet the mining industry stakeholders' needs and expectations regarding the PdMSys features. PdMSys is a transversal and customized system created for three users’ hierarchical levels. The system sources data from the field sensors, the machine's parameters, and other systems databases to enable first monitoring assets' health state and secondly effectively managing the maintenance KPIs across the ore mine. This paper discusses the ability of PdMSys to transform the company's traditional practices into digital and proactive. Additionally, the financial benefits of implementing PdMSys are also presented. Lastly, the authors address PdMSys resilience to handle scalability and interoperability. Keywords— Predictive maintenance, Industry 4.0, Key performance indicators management, Model based system engineering, System modeling language

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