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Theory of constraints
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===High-speed automated production lines=== Automated production lines achieve high throughput rates and output quantities by deploying automation solutions that are highly task-specific. Depending on their design and construction, these machines operate at different speeds and capacities and therefore have varying efficiency levels. A prominent example is the use of automated production lines in the beverage industry. Filling systems usually have several machines executing parts of the complete bottling process, from filling primary containers to secondary packaging and palletisation.<ref>'The planning flexibility bottleneck in food processing industries' (2006) Journal of Operations Management 24(3):287-300, DOI:10.1016/j.jom.2004.11.001</ref> To be able to maximize the throughput, the production line usually has a designed constraint. This constraint is typically the slowest and often the most expensive machine on the line. The overall throughput of the line is determined by this machine. All other machines can operate faster and are connected by conveyors. The conveyors usually have the ability to buffer product. In the event of a stoppage at a machine other than the constraint, the conveyor can buffer the product enabling the constraint machine to keep on running. A typical line setup is such that in normal operation the upstream conveyors from the constraint machine are always run full to prevent starvation at the constraint and the downstream conveyors are run empty to prevent a back up at the constraint. The overall aim is to prevent minor stoppages at the machines from impacting the constraint. For this reason as the machines get further from the constraint, they have the ability to run faster than the previous machine and this creates a V curve.{{citation needed|date=April 2015}}
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