... the most-used applications. In general, the insights provided by predictive analytics help optimize processes and manage risks. Predictive analytics is valuable wherever there is data. Business sector use cases include: Manufacturing – to optimize production processes, improve maintenance scheduling, plan inventory, and more. Healthcare – in clinical trials, predictive scheduling systems, pharmaceutical market analysis, and more. Oil & Gas – for operations planning, field production optimization, storage management, and more. Business ...
Load and Haul Optimization in a Generic Mining Simulation Model
... high-grade material is sent to the crusher, the low-grade material to the stockpile for processing later, and waste, which is everything else, is taken to the dump. Rule 3: After a truck has been unloaded, the simulation model will check if any non-productive activities, such as scheduled maintenance, need to be done. There can also be non-scheduled events, such as a breakdown, where the truck will need to stop its activities and go to be fixed. The rules of the generic mining simulation model ...
Strategic Sales & Operations Planning: Millions Saved by Balancing Supply and Demand
... integration for strategic Sales & Operations planning, in particular long-term supply and demand plan optimization. For more examples of AnyLogic and SAP integration, check out the case studies about ice cream production capacity planning and production scheduling for metal meshes. The case study was presented by David Barbieri Kennedy from ITE Consult at the AnyLogic Conference 2023. The slides from this case are available as a PDF.
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Highly Automated Production Line Planning and Optimization
... taken directly from Excel and Access files. Each simulation run reproduced one year of factory operation. Read also: Simulation Modeling for Consulting, a white paper that provides many insights on designing and optimizing a network layout, production scheduling, etc. First, the consultants experimented with the overall production line design, using parameter variation and optimization. They tested many parameters; including those concerning manufacturing capacity and the number of ...