... automotive executives to cost an average of $22,000 per minute. Fair Dynamics were contracted to develop a prototype solution for reducing maintenance costs and proposed a digital twin of a production line segment. The system would assist maintenance scheduling decisions for a production line dedicated to welding van bodies of different types. To achieve this, they modeled the various stations on the line, including the robots, and captured key performance indicators to help assess the value of new policies. The system was ...

... adaptive “day-by-day” decision making. This tool could easily simulate both automatic (Agent Based decision making) and human guided planning solutions as an integral part of a 3 step aggregate plan process: Automatic, unconstrained scheduling. Human guided review of both the master plan and the resource plan, adjusting parameters. Constrained production planning, using the updated data from stage 2, to tests its feasibility. Thanks to the efficient Anylogic Java engine, the entire simulation process of a production season only took a few seconds! Outcome Strong increase ...

... In system dynamics, layers of the material handling system and material flow can be added. To really understand the labor productivity, a multimethod simulation model can be created, but with a strong focus on the agent-based approach. The inputs ... ... resources are allocated with those construction labor models seen in each station. As the work continues, specific workers, schedules, movement patterns and downtime, and even time taken for lunch can be assigned. All of that greatly influences what ...

... several girders, which in turn are responsible for gripping, moving, and loading cargo. So, simultaneously, and according to the schedule, the cranes perform dozens of unique operations that need to be reflected in the model. A standard approach to creating ... ... which is responsible for the operation of cranes at different levels of abstraction. At the same time, I divided the entire production process into sub-processes to make the model simpler and easier to reconfigure. Layered diagram of production process ...

... ensures effective change implementation by enabling analysis, optimization, and experimentation in an environment that can fully capture the details of your operations. Significant efficiencies can be found in the field with optimized maintenance scheduling. With the ability to forecast and allocate work, it is possible to reduce downtime, improve preventative maintenance, and increase production. Pipeline delivery is subject to batch congestion, storage restrictions, and customer demands, to name just a few variables. Mitigating these risks can provide large ongoing returns. Simulation modeling for oil and gas processes enables ...