Digitalized manufacturing processes necessitate a shift from traditional production control systems to more intelligent frameworks. Existing systems reliant on Programmable Logical Controllers (PLCs) fall short in handling the influx of data generated by the Internet of Things (IoT) layer and the array of IT systems integral to modern operations. This paper proposes the development of a novel manufacturing execution environment capable of dynamically analyzing data, orchestrating operations, and making informed decisions, especially in response to malfunctions. Furthermore, such environment aims to optimize production activities based on diverse priorities such as cost, energy efficiency, and production time. This necessitates a reevaluation of manufacturing operations, incorporating both standard and parametric design elements. The success of such environment is crucial for industries motivated to achieve optimal performance through intelligent data utilization. From a scientific perspective, the challenge lies in devising scalable algorithms capable of autonomously driving digital production systems while maintaining a high level of adaptability and efficiency. This paper presents MESLedger, a collaborative project aiming at improving manufacturing execution through the integration of blockchain technology to secure communication in collaborative environments and artificial intelligence to optimize major aspects of production. It also emphasizes on the significance of this effort in meeting industrial demands and outline the scientific advancements required to realize the project’s objective.