Aluminum Plant Improves
System Flow by Nearly 50%
The results of the simulation model proved that the scenario with the shortest cycle time was not the best solution. All three scenarios would have led to at least a 50% improvement in queuing times, but the first and second scenarios would have cost at least US$60,000 compared to US$30,000 for the third scenario.
Simulation Helps to Determine
Stock Levels and Stock Space
Simulation was used to assess the viability of a new distribution concept before a costly implementation.
Oil Refinery Improves
Throughput and Efficiency
The use of this model as a decision support system assisted the refinery in objectively analyzing shutdown-scheduling alternatives and facility throughput enhancement and indicating possible bottlenecks for cost effective capital expenditure.
Simulation Contributes to
Successful Mining Plant Upgrade
The model identified constraints in the system and, after scrutinizing overhead crane rules and use, revealed that two cranes could be taken out of the system. The new layout, with its recommended number of resources, has been implemented successfully.
Optimizing Throughput at
Aluminum Smelting Operation
A simulation model was created that tested several different layouts and helped determine whether one or two overhead cranes should be used. The model illustrated how sensitive the process is to both crane and press performance. The project also contributed to the final cost justification of purchasing the new press.
SUCCESS STORIES
The Right Equipment for the
Right Job with Simulation
For Spoornet, simulation was used to establish the needs caused by changes and ensure implementation of the right resources for the right jobs the first time.
Simulation Helps Mining Company
Develop New Market Strategy
The maintenance strategy project saved nearly US $1.8 million, and the input crusher and conveyor system reduced the haul truck fleet by four trucks, signifying a savings in capital and operating costs and a difference in NPV (Net Present Value) of US $5.5 million.
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