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Universities 4.0, have been working for many years on modernizing their services to adapt to new practices and stakeholder needs. However, their experience is not necessarily capitalized in the form of a model that can be used by the traditional university, and even if they do, it will not, in any case, be an adapted model, because the challenges are different. This is why we tried through this work to understand our context, to study the models proposed by other researchers and to capitalize our research by proposing an agile model that aims to enable an adequate digital transformation: Case of the University Hassan II of Casablanca (H2C).

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Optimization of order dispatch operations and delivery time prediction is a major concern in supply chains, mainly for e-commerce, which requires the implementation of advanced solutions to reduce delivery time, minimize costs and maximize customer satisfaction. In practice, they fail to warrant scalable and sustainable solutions as the numbers of orders become larger. For that, proper prediction and optimization for delivery operations are required for optimal logistics management. This paper presents an advanced logistics service, which warrants dynamic coordination among all the actors in the smart logistics environment. The proposed advanced shipping system consists of two main parts: the delivery prediction model to compute the expected arrival time, and a hybrid optimization model to tackle path issues. We demonstrate that the advanced system consistently outperforms conventional standard dispatching methods, which means that the proposed approach effectively contributes to optimizing the distribution chain and reducing costs.

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