... operational simulation Let’s dive deeper into this topic by looking at the steel manufacturing case study, that successfully went down this path. For the goal of automation, the customer decided to develop a tool that could generate an optimized production schedule for each of the machines in the factory and forecast the systems behavior. The customer required a production schedule and forecast with a horizon of at least one month. The objective for optimization was to maximize service level and fulfillment ...

... stopes, and other elements of the underground mining system. As a result, the team found out that the project’s turnaround time could be reduced by three months. However, certain types of work would need to be carried out for longer than initially scheduled. The goal of the second experiment was to minimize the project’s project turnaround time. The developers wanted parameters that could speed up work as much as possible without compromising its production and safety. As a result, they were able to reduce the turnaround time by seven months. In the third experiment, the IBCON team considered a case where some initial parameters had been wrong, drilling rigs and LHD’s failed regularly,...

... continuously to ensure a stable supply of quicklime for steelmaking. Engineers suspected that the limestone feeding circuit was underutilized, leading to unnecessary machine running hours and excess energy consumption. The challenge was to optimize production scheduling without risking supply or quality. Solution: The team built a discrete-event simulation model of the limestone conveying and feeding circuit using AnyLogic. They ran what-if scenario experiments, bottleneck analyses, and buffer stock ...

... enabled the developers to grasp all the elements of the manufacturing system. Within the detailed 2D animation, a user can click on any crane or product to see its status and on-going operations. The heart of the model is the logic which supports the production planning and scheduling of all operations. Required product mix and other parameters can be set and altered, and manual scheduling is available if needed. The steel and slab production simulation model made it possible to: Capture and digitize the scheduling ...

Problem: GSK’s Irvine site showed a strong correlation between batch production schedules and energy consumption, but fluctuations in machine usage made energy consumption forecasting difficult. GSK needed a robust decision-support tool to better understand the financial and environmental impact of its production planning decisions....