Extending MES Software: Enhancing Data Integration and Usability in Siemens Opcenter and Open Data Opera MES

In the era of Industry 4.0, manufacturing execution systems (MES) software plays a crucial role in supporting production planning, tracking and control. This thesis focuses on extending two MES software programs for two distinct companies, Lincotek and Robopac, in response to the evolving needs of managers, operators and modern manufacturing in general. The first phase of the project regards Lincotek's need for efficient data exchange with a certain type of machine involved in their manufacturing process. A novel architecture is implemented, supported by a dedicated database and a new workflow in the Opera MES software. The solution automatises the data transfer process, thus eliminating the need for manual data copying and ensuring data accuracy. The second part focuses on reimagining and redesigning the default work order diagram of operations in Siemens Opcenter, thereby enhancing the understanding of work order status. A visually appealing and informative new diagram is developed using a JavaScript library. It is then placed in a convenient panel within the interface that operators interact with the most, thus enabling them to swiftly access and interpret production information. These projects illustrate the versatility and flexibility of MES software, which allows customisation in order to be tailored towards specific needs. Through continuous improvement of MES software, companies can enhance productivity and efficiency, thereby adapting to the complexities that frequently arise in the manufacturing world. This thesis also contributes to the advancement of smart manufacturing practices by demonstrating the importance of MES software in the process of transformation from a traditional production plant into an agile smart factory. The insights and conclusions shared throughout this work can serve as principles for companies seeking to begin the journey of digitalisation and automation in their manufacturing processes. Ultimately, and beyond any specific implementations, this thesis carries a broader message: the importance of continuous improvement and process optimisation in the era of Industry 4.0. This is a crucial lesson that manufacturing companies would be wise to learn. Additionally, and going even further, it highlights the significance of embracing a mindset of constant betterment not just in the manufacturing industry but in all aspects of professional and personal life.